IEEE Transactions on Vehicular Technology
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Institute of Electrical and Electronics Engineers (IEEE)
ISSN:
00189545, 19399359
SCImago
Q1
WOS
Q1
Impact factor
6.1
SJR
2.714
CiteScore
13.0
Categories
Aerospace Engineering
Applied Mathematics
Automotive Engineering
Computer Networks and Communications
Electrical and Electronic Engineering
Areas
Computer Science
Engineering
Mathematics
Years of issue
1967-2025
journal names
IEEE Transactions on Vehicular Technology
IEEE T VEH TECHNOL
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IEEE Transactions on Vehicular Technology
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IEEE Transactions on Wireless Communications
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Top-3 organizations
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(533 publications)
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Beijing University of Posts and Telecommunications
(457 publications)
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Southeast University
(354 publications)
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Beijing University of Posts and Telecommunications
(275 publications)
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Most cited in 5 years
Found
Publications found: 5483
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Broadly Targeted Metabolomics Analysis of Differential Metabolites Between Bupleurum chinense DC. and Bupleurum scorzonerifolium Willd.
Li M., Zhang Q., Zhu T., Liu G., Chen W., Chen Y., Bu X., Zhang Z., Zhang Y.
Background/Objectives: Bupleuri Radix is a plant in the Apiaceae family Bupleurum Chinense DC. or Bupleurum scorzonerifolium Willd. root. The dissimilarities in the metabolite profiles of plants directly correlate with the disparities in their clinical efficacy. Methods: Therefore, the wild Bupleurum Chinense DC. (YBC) and wild Bupleurum scorzonerifolium Willd. (YNC) were used as research materials. They were analyzed using the UPLC-MS/MS and the similarities and differences were uncovered based on differential metabolites. Results: Our results proved that the differences in clinical efficacy between YBC and YNC may be attributed to their distinct metabolite profiles, as follows: (1) a total of 12 classes of 2059 metabolites were identified in the roots, with phenolic acids, terpenoids, and flavonoids being the most abundant metabolic products, with 2026 shared components between the two, 2045 in YBC, and 2040 in YNC; (2) a total of 718 differential metabolites were identified, accounting for 35.44% of the shared metabolites. Among them, YBC had 452 metabolites with higher content relative to YNC, representing 62.95%, and 266 components with lower content, representing 37.05%; (3) the KEEG enrichment analysis results show that the differential metabolic pathways are flavone and flavonol biosynthesis, linoleic acid metabolism, arachidonic acid metabolism, sesquiterpenoid and triterpenoid biosynthesis, and linolenic acid metabolism. Conclusions: These new findings will serve as a foundation for further study of the BR biosynthetic pathway and offer insights into the practical use of traditional Chinese medicine in clinical settings.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
The Potential Role of Intestinal Microbiota on the Intestine-Protective and Lipid-Lowering Effects of Berberine in Zebrafish (Danio rerio) Under High-Lipid Stress
Gao C., Wang H., Xue X., Qi L., Lin Y., Wang L.
Background: Berberine has extremely low oral bioavailability, but shows a potent lipid-lowering effect, indicating its potential role in regulating intestinal microbiota, which has not been investigated. Methods: In the present study, five experimental diets, a control diet (Con), a high-lipid diet (HL), and high-lipid·diets·supplemented with an antibiotic cocktail (HLA), berberine (HLB), or both (HLAB) were fed to zebrafish (Danio rerio) for 30 days. Results: The HLB group showed significantly greater weight gain and feed intake than the HLA and other groups, respectively (p < 0.05). Hepatic triglyceride (TG) and total cholesterol (TC) levels, lipogenesis, and proinflammatory cytokine gene expression were significantly upregulated by the high-lipid diet, but significantly downregulated by berberine supplementation. Conversely, the expression levels of intestinal and/or hepatic farnesoid X receptor (fxr), Takeda G protein-coupled receptor 5 (tgr5), lipolysis genes, and zonula occludens 1 (zo1) exhibited the opposite trend. Compared with the HLB group, the HLAB group displayed significantly greater hepatic TG content and proinflammatory cytokine expression, but significantly lower intestinal bile salt hydrolase (BSH) activity and intestinal and/or hepatic fxr and tgr5 expression levels. The HL treatment decreased the abundance of certain probiotic bacteria (e.g., Microbacterium, Cetobacterium, and Gemmobacter) and significantly increased the pathways involved in cytochrome P450, p53 signaling, and ATP-binding cassette (ABC) transporters. The HLB group increased some probiotic bacteria abundance, particularly BSH-producing bacteria (e.g., Escherichia Shigella). Compared with the HLB group, the abundance of BSH-producing bacteria (e.g., Bifidobacterium and Enterococcus) and pathways related to Notch signaling and Wnt signaling were reduced in the HLAB group. Conclusions: This study revealed that berberine’s lipid-lowering and intestine-protective effects are closely related to the intestinal microbiota, especially BSH-producing bacteria.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Potential Biomarkers of Fatal Hypothermia Revealed by UHPLC-MS Metabolomics in Mice
Cao X., Wu Z., Ma X., Deng W., Chen D., Liu J., Li J., Wang H., Pei B., Zhao D., Wang Q.
Background: The postmortem diagnosis of fatal hypothermia presents a considerable challenge in forensic medicine. Metabolomics, a powerful tool reflecting comprehensive changes in endogenous metabolites, offers significant potential for exploring disease mechanisms and identifying diagnostic markers. Methods: In this study, we employed ultra-high-performance liquid chromatography–mass spectrometry (UHPLC–MS) to perform a non-targeted metabolomic analysis of liver, stomach, spleen, and musculus gastrocnemius tissues from mice subjected to fatal hypothermia. Result: A substantial number of differential metabolites were identified in each tissue: 1601 in the liver, 420 in the stomach, 732 in the spleen, and 668 in the gastrocnemius muscle. The most significantly altered metabolites were as follows: magnoflorine (liver, upregulated, ranked first in fold-change), gibberellic acid (stomach, downregulated, ranked first in fold-change), nitrofurantoin (spleen, upregulated, ranked first in fold-change), and isoreserpin (gastrocnemius muscle, downregulated, ranked first in fold-change). Glycerophospholipid metabolism exhibited notable enrichment in all tissues (spleen: second, liver: tenth, stomach: eleventh, gastrocnemius muscle: twenty-first), as did tryptophan metabolism (spleen: thirteenth, liver: eighth, stomach: third, gastrocnemius muscle: seventeenth). Conclusions: Our findings provide insights into the metabolic perturbations associated with fatal hypothermia in different tissues and lay a foundation for the identification of potential tissue biomarkers for forensic diagnosis.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Multi-Omics Approach to Evaluate Effects of Dietary Sodium Butyrate on Antioxidant Capacity, Immune Function and Intestinal Microbiota Composition in Adult Ragdoll Cats
Zhang A., Li D., Yu T., Zhang M., Cui Y., Wang H., Dong T., Wu Y.
Objectives: Sodium butyrate (SB) is a typical postbiotic known to positively affect economic animals in recent years, but research on SB in pet cats is scarce. Consequently, this study sought to explore the influence of SB on anti-inflammatory and antioxidant capacity, immune function, and gut microbiota of adult cats through the assessment of biochemical parameters and comprehensive integrative omics analysis. Methods: A total of 30 adult cats were divided into three groups: a basal diet (NC), basal diet with 0.05% SB (SB5), and basal diet with 0.1% SB (SB10). The experiment lasted for 6 weeks. Results: The results indicated that the fecal level of calprotectin was lower in the SB10 group than in the SB5 and NC groups. The SB10 group reduced the serum levels of TNF-α, IL-1β and DAO compared with the NC group (p < 0.05). In addition, the SB10 diet increased the GSH-Px level and decreased MDA content compared with the NC diet (p < 0.05). Transcriptomic analysis showed that the gene expression of VCAM1 exhibited a notable decrease in the SB10 group compared to the NC group (p < 0.05). The analysis of gut microbiota revealed that the richness of gut microbiota was higher in the SB10 than in the NC group (p < 0.05), and the abundance of Lachnospiraceae, Lachnoclostridium, Blautia, and Roseburia was greater in the SB10 than in the NC group (p < 0.05). Conclusions: Dietary SB could enhance the antioxidant and anti-inflammatory capacity, improve immune function, and positively regulate the gut microbiota composition in adult cats.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Differences in the Prevalence and Clinical Correlates Between Early-Onset and Late-Onset Major Depressive Disorder Patients with Comorbid Abnormal Lipid Metabolism
Huang X., Wu A., Zhang X.
Background and Objectives: Growing evidence suggested that abnormal lipid metabolism (ALM) was associated with an increased severity of depressive symptoms, but no previous studies have examined the differences in comorbid ALM in major depressive disorder (MDD) patients of different ages of onset. We aim to compare the differences in the prevalence and clinical correlates of ALM between early-onset and late-onset patients with first-episode and drug-naive (FEDN) MDD patients. Methods: Using a cross-sectional design, we recruited a total of 1718 FEDN MDD outpatients in this study. We used the 17-item Hamilton Rating Scale for Depression (HAMD-17), The Hamilton Anxiety Rating Scale (HAMA), the Positive and Negative Syndrome Scale (PANSS) positive subscale, and Clinical Global Impression-Severity Scale (CGI-S) to assess their depression, anxiety, and psychotic symptoms and clinical severity, respectively. Results: There were 349 patients (20.3%) in the early-onset subgroup and 1369 (79.7%) in the late-onset subgroup. In this study, 65.1% (1188/1718) of patients were diagnosed with ALM. The prevalence of ALM in the late-onset group (81.5%, 1116/1369) was significantly higher than that in the early-onset group (20.6%, 72/349) (p = 0.36, OR = 1.147, 95%CI = 0.855–1.537). The HAMD total score (OR = 1.34, 95% CI = 1.18–1.53, p < 0.001) was the only risk factor for ALM in early-onset MDD patients. In late-onset MDD patients, the HAMD total score (OR = 1.19, 95% CI = 1.11–1.28, p < 0.001), TSH (OR = 1.25, 95% CI = 1.16–1.36, p < 0.001), CGI (OR = 1.7, 95% CI = 1.31–2.19, p < 0.001), and anxiety (OR = 2.22, 95% CI = 1.23–4.02, p = 0.008) were risk factors for ALM. Conclusion and Scientific Significance: Our results suggest that there are significant differences in the prevalence and clinical factors of comorbid ALM between early-onset and late-onset FEND MDD patients.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Metabolomic Analysis of Maize Response to Northern Corn Leaf Blight
Gu Y., Yan B., Yang Y., Huang Y., Liu X., Liu S.
Background: As a major food crop, maize is highly susceptible to pathogenic bacteria, which greatly reduces its yield and quality. Metabolomics reveals physiological and biochemical changes in organisms and aids in analyzing metabolic changes caused by various factors. Methods: This study utilized metabolomics to examine maize’s metabolic changes after NCLB infestation, aiming to uncover related pathways and potential biomarkers. The metabolite measurements were performed during the maize silking stage. Results: PCA showed an obvious dispersion between the treated and untreated groups. OPLS-DA identified 1274 differential metabolites, with 242 being downregulated (mainly phenolics and esters) and 1032 upregulated (primarily organic acids, amino acids, sugars, and derivatives). KEGG annotation revealed 50 affected metabolic pathways, and the biosynthesis of secondary metab-olites and amino acids was significantly enriched. Conclusions: We hypothesized that metabolic pathways related to sugar metabolism, proline metabolism, and jasmonic acid synthesis are associated with NCLB susceptibility. These findings provide critical insights into the metabolic responses of maize to biotic stress, offering a theoretical basis for future research on plant resistance mechanisms.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Advanced Machine Learning for Comparative Synovial Fluid Analysis in Osteoarthritis and Rheumatoid Arthritis
Kopeć K.K., Uccheddu G., Chodnicki P., Noto A., Piras C., Spada M., Atzori L., Fanos V.
Osteoarthritis (OA) and rheumatoid arthritis (RA) are joint diseases that share similar clinical features but have different etiologies, making a differential diagnosis particularly challenging. Background/Objectives: Utilizing advanced machine learning (ML) techniques on metabolomic data, this study aimed to identify key metabolites in synovial fluid (SF) that could aid in distinguishing between OA and RA. Methods: Metabolite data from the MetaboLights database (MTBLS564), analyzed using nuclear magnetic resonance (NMR), were processed using normalization, a principal component analysis (PCA), and a partial least squares discriminant analysis (PLS-DA) to reveal prominent clustering. Results: Decision forests and random forest classifiers, optimized using genetic algorithms (GAs), highlighted a selection of a few metabolites—primarily glutamine, pyruvate, and proline—with significant discriminative power. A Shapley additive explanations (SHAP) analysis confirmed these metabolites to be pivotal predictors, offering a streamlined approach for clinical diagnostics. Conclusions: Our findings suggest that a minimal set of key metabolites can effectively be relied upon to distinguish between OA and RA, supported by an optimized ML model achieving high accuracy. This workflow could streamline diagnostic efficiency and enhance clinical decision-making in rheumatology.
Q2
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A Multicenter Exploration of Sick Building Syndrome Symptoms in Malaysian Schools: Indoor Pollutants, Microbial Taxa, and Metabolites
Zhang Y., Bu Y., Chen Y., Chen P., Du B., Hashim J.H., Hashim Z., Wieslander G., Norbäck D., Xia Y., Fu X.
Background: The role of the indoor microbiome in sick building syndrome (SBS) is well-recognized, yet prior studies have been limited to single-center analyses, limiting a broader understanding and applicability of their findings. Methods: We conducted a multicenter indoor microbiome and metabolome investigation for SBS, involving 1139 middle school students across three regions in Malaysia (Johor Bahru, Terengganu, and Penang). Using high-throughput amplicon sequencing and untargeted LC-MS, indoor microbiome and metabolites were characterized from classroom dust samples. Results: The study found that the prevalence of SBS symptoms was high across all three centers (51.0% to 54.6%). Environmental characteristics, including indoor NO2 and CO2 concentrations and total weight of indoor dust, were positively associated with SBS (p < 0.01, linear regression). Curtobacterium in Terengganu was negatively associated with SBS, and Clostridium perfringens in Johor Bahru was positively associated with SBS (p < 0.01, FDR < 0.05). Whereas all identified fungal taxa, including an uncharacterized uc_f_Auriculariaceae_sp., Duportella kuehneroides, and Wallemia mellicola, were positively associated with SBS (p < 0.01, FDR < 0.05) in Johor Bahru and Terengganu. Mediation analysis revealed that the adverse health effects of NO2 on SBS were partially mediated by the increased abundance of uc_f_Auriculariaceae_sp. (p < 0.05, total effect mediated 51.40%). Additionally, potential protective metabolites (S-adenosylmethionine, N-acetylserotonin, sphinganine, 4-hydroxy-2-quinolone, and (2E,4Z,8E)-Colneleic acid) were mainly derived from environmental microorganisms, conferring protective effects against nasal symptoms and tiredness. In contrast, synthetic chemicals were associated with higher SBS symptoms, inducing eye and nasal symptoms. Conclusions: This study emphasizes both the significance of fostering a balanced indoor microbiome/metabolite and the necessity to reduce exposure to deleterious substances, providing new insights for future targeted intervention strategies.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Toxic Effects of Exposure to Phthalates on Cardiac Injury Biomarkers: Evidence from NHANES 1999–2004
Li H., Bu J., Xing W.
Background: Humans are consistently and increasingly exposed to phthalate products, but the effect of the combined exposure to phthalates on myocardial injury remains largely unexplored. The present study aimed to explore the effect of the combined exposure to phthalates on myocardial injury. Methods: A total of 1237 male adults (aged ≥20) without coronary artery disease (CAD) from the National Health and Nutrition Examination Survey (NHANES) in 1999–2004 were included in the current study. Multiple linear regression, Bayesian kernel machine regression (BKMR), and a weighted quantile sum (WQS) model were employed to examine the associations of urinary phthalate metabolites with two cardiac injury biomarkers, including troponin T (TNT) and troponin I, using four highly sensitive assays (Abbott, Chicago, IL, USA Siemens, Erlangen, Germany; and Ortho, Raritan, NJ, USA) (TNIA, TNIS, TNIO). Results: According to the linear regression analysis, mono-(3-carboxypropyl) phthalate (MCPP, a metabolite of di-n-octyl phthalate) was found to be positively associated with serum TNT; a positive association was found between mono-isobutyl phthalate (MiBP, a metabolite of di-isobutyl phthalate) and TNIA, as well as MiBP and TNIS. Mono-benzyl phthalate (MBzP, a metabolite of butyl benzyl phthalate) and MCPP were positively associated with serum TNIO. The BKMR analyses showed a positive overall relationship of serum TNT, TNIA, TNIS, and TNIO with increased concentrations of phthalate metabolites. The WQS model showed MCPP and MBzP were the top two contributors to being an increased risk for elevated TNT levels. MCPP and mono-ethyl phthalate (MEP, a metabolite of diethyl phthalate) were identified as the leading contributors to increased TNIA and TNIS. MCPP and MBzP were the dominant contributors to elevated TNIO. Conclusions: As a combined mixture, phthalate metabolites were positively associated with serum TNT and TNI among adults without CAD, indicating the potential toxic effect of phthalate exposure on cardiac injury.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Bacillusmegaterium DSM 32963 Enhances Specialized Pro-Resolving Mediator Production from an n-3 PUFA Salt in a Dynamic Model of the Human Intestine
Speckmann B., Jordan P.M., Werz O., Hofstetter R.K., Ehring E., Vogel M., Venema K.
Background: Omega-3 polyunsaturated fatty acids (n-3 PUFA) have been used in the treatment of inflammatory bowel diseases (IBD) and irritable bowel syndrome (IBS), and their effects are potentiated upon conversion to specialized pro-resolving mediators (SPM). Recent studies indicated that the probiotic bacterial strain Bacillus megaterium DSM 32963 can be used to enhance the production of SPM and its precursors in vivo. Methods: Here, we explored the contribution of Bacillus megaterium DSM 32963 to SPM production in a validated, dynamic model of the upper and lower intestine. The TIM-1 and TIM-2 models were applied, with the TIM-2 model inoculated with the fecal microbiota of healthy individuals and probed with an n-3 PUFA lysine salt with and without Bacillus megaterium DSM 32963 or an SPM-enriched fish oil or placebo. Kinetics of SPM production were assessed by metabololipidomics analysis, and survival and engraftment of the Bacillus megaterium strain was monitored by plate counting and by strain-specific qPCR. Results: Bacillus megaterium DSM 32963 poorly survived TIM-1 conditions but propagated in the TIM-2 model, where it enabled the metabolism of n-3 PUFA to SPM (resolvin E2 and protectin DX) and SPM precursors (e.g., 5-hydroxyeicosapentaenoic acid (5-HEPE), 15-HEPE, 18-HEPE, 4-hydroxydocosahexaenoic acid (4-HDHA), 10-HDHA, and 17-HDHA, among other EPA- and DHA-derived metabolites) with significantly higher levels of lipid mediator production compared to the n-3 PUFA lysine salt alone; esterified n-3 PUFA were hardly converted by the microbiota. Conclusions: These findings reinforce that Bacillus megaterium DSM 32963 facilitates SPM production in situ from bioavailable n-3 PUFA in the large intestine, highlighting its use to complement eukaryotic SPM biosynthesis by the host and its possible therapeutic use for, e.g., IBD and IBS.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Omics Analysis Revealing Flavonoid Content During Maize Grain Germination
Tian X., Chen L., Sun L., Gong K., Liu K., Guo Y.
Background/Objectives: The germination process initiates an active process of secondary metabolism, which produces a series of secondary metabolites, including flavonoids. Methods: A metabolomics and transcriptomics analysis was conducted on maize grains germinated at three different stages. Results: A total of 374 metabolites were detected in maize grains. From the raw maize grain to various stages of germination, 3 anthocyanins, 61 flavones, 12 flavonols, 13 flavanones, and 6 isoflavones were identified, respectively. An integrated omics analysis discovered that a total of 16 flavonoid metabolites were mapped to 4 KEGG pathways, which were associated with 40 related genes. This indicates that germination has significant benefits in improving the nutritional function of corn kernels. Conclusions: In summary, the findings of this study provide valuable insights into flavonoid metabolites and related genes, demonstrating the profound impact of germination treatment on the nutritional and functional aspects of maize grains.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Oregano Young Plants Cultured at Low Temperature Reveal an Enhanced Healing Effect of Their Extracts: Anatomical, Physiological and Cytotoxicity Approach
Stefi A.L., Chalkiadaki M., Dimitriou K., Mitsigiorgi K., Gkikas D., Papageorgiou D., Ntroumpogianni G.C., Vassilacopoulou D., Halabalaki M., Christodoulakis N.S.
Background: The germination and early development of Origanum vulgare L. subsp. hirtum (Link) Ietswaart (Greek oregano) were studied to assess the plant’s response to different temperatures. Methods: After germination, seedlings were cultivated in control (25 °C) and cold (15 °C) chambers with standard growth parameters. Comparative analyses of plant morphology and leaf anatomy were conducted to identify structural modifications induced by different temperatures. Physiological evaluations, including photosynthetic pigment measurements, phenolic content, and antioxidant activity, were performed to assess differences between the plants grown under the two temperature conditions. Methanolic extracts from the leaves were tested for cytotoxicity on MCF-7 breast adenocarcinoma cells and SH-SY5Y neuroblastoma cells, as well as on nine microbial strains. Additionally, biomarkers from the leaves affected by temperature changes were determined using LC-HRMS/MS analysis. Results: Comparative analyses revealed distinct structural and physiological modifications under cold conditions. The methanolic extracts from plants grown at 15 °C exhibited notably higher cytotoxic activity in both cell lines but demonstrated no activity against microbial strains. The results highlight the influence of low temperature on enhancing the bioactive properties of Greek oregano. Conclusions: The findings provide valuable insights into the environmental adaptability of oregano, demonstrating the impact of low temperature on its bioactive properties. The therapeutic potential of methanolic extracts cultured at 15 °C is imprinted in cytotoxicity in SH-SY5Y and MCF-7 cells and the absence of any activity against microbial strains.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Reference Intervals of Serum Metabolites and Lipids of a Healthy Chinese Population Determined by Liquid Chromatography-Mass Spectrometry
Zhang Y., Zhao J., Zhao H., Lu X., Jia X., Zhao X., Xu G.
Background: Metabolomics serves as a very useful tool for elucidating disease mechanisms and identifying biomarkers. Establishing reference intervals (RIs) of metabolites in a healthy population is crucial to the application of metabolomics in life sciences and clinics. Methods: We enrolled 615 healthy Chinese adults aged between 21 and 85 years. Their health status was ascertained through clinical examinations, biochemical parameters, and medical history. Targeted metabolomics and lipidomics analyses were applied to quantify 705 metabolites and lipids in the serum, establishing RIs and investigating the effect of sex and age on the metabolome and lipidome. Results: This study is the first large-scale effort in China to establish RIs for metabolites in the apparently healthy population. We found that most of the sex-related metabolites, including amino acids, acyl-carnitines and triacylglycerols, had higher concentrations in males, while the other sex-related lipids showed higher concentrations in females. Most of the age-related metabolites increased with age, including those associated with protein synthesis, nitric oxide synthesis, energy metabolism, and lipid metabolism. Conclusions: This study gives the reference intervals of the healthy Chinese metabolome and lipidome and their relationship with sex and age, which facilitates life sciences and precision medicine, especially for disease research and biomarker discovery.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
A New, Validated GC-PICI-MS Method for the Quantification of 32 Lipid Fatty Acids via Base-Catalyzed Transmethylation and the Isotope-Coded Derivatization of Internal Standards
Vodrážka P., Řimnáčová L., Berková P., Vojtíšek J., Verner M., Moos M., Šimek P.
Background: Fatty acids (FAs) represent a ubiquitous class of nonpolar alkyl carboxylate metabolites with diverse biological functions. Nutrition, metabolism, and endogenous and exogenous stress influence the overall FA metabolic status and transport via the bloodstream. FAs esterified in lipids are of particular interest, as they represent promising biomarkers of pathological diseases and nutritional status. Methods: Here, we report a validated gas chromatographic-mass spectrometric (GC-MS) method for the quantitative analysis of 32 FAs exclusively bound in esterified lipids. The developed sample preparation protocol comprises three steps using only 5 µL of human serum for Folch extraction, sodium methoxide-catalyzed transesterification in tert-butyl methyl ether, and re-extraction in isooctane prior to a quantitative GC-MS analysis with positive ion chemical ionization (PICI) and selected ion monitoring (SIM). Results: The base-catalyzed transmethylation step was studied for 14 lipid classes and was found to be efficient under mild conditions for all major esterified lipids but not for free FAs, lipid amides, or sphingolipids. To minimize matrix effects and instrument bias, internal fatty acid trideuteromethyl esters (D3-FAME) standards were prepared through isotope-coded derivatization with D3-labeled methylchloroformate/methanol medium mixed with each transmethylated serum extract for the assay. The method was validated according to FDA guidelines and evaluated by analyzing NIST SRM 2378 Serum 1 and sera from three healthy donors. Conclusions: The measured quantitative FA values are consistent with the reference data of SRM 2378, and they demonstrate the application potential of the described method for general FA analysis in esterified lipids as a novel complementary tool for lipidomics, as well as for the analysis of membrane FAs in dry blood spots and red blood cells.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Salicylic Acid Modulates Volatile Organic Compound Profiles During CEVd Infection in Tomato Plants
Balanzá M., Vázquez-Prol F., Rodrigo I., Bellés J.M., Vera-Sirera F., López-Gresa M.P., Lisón P.
Background:Citrus Exocortis Viroid (CEVd) is a non-coding RNA pathogen capable of infecting a wide range of plant species, despite its lack of protein-coding ability. Viroid infections induce significant alterations in various physiological and biochemical processes, particularly impacting plant metabolism. This study shows the metabolic changes upon viroid infection in tomato plants (Solanum lycopersicum var. ‘MoneyMaker’) exhibiting altered levels of salicylic acid (SA), a key signal molecule involved in the plant defence against this pathogen. Methods: Transgenic RNAi_S5H lines, which have the salicylic acid 5-hydroxylase gene silenced to promote SA accumulation, and NahG lines, which overexpress a salicylate hydroxylase to degrade SA into catechol and prevent its accumulation, were used to establish different SA levels in plants, resulting in varying degrees of resistance to viroid infection. The analysis was performed by using gas chromatography–mass spectrometry (GC-MS) to explore the role of volatile organic compounds (VOCs) in plant immunity against this pathogen. Results: Our results revealed distinct volatile profiles associated with plant immunity, where RNAi_S5H-resistant plants showed significantly enhanced production of monoterpenoids upon viroid infection. Moreover, viroid-susceptible NahG plants emitted a broad range of VOCs, whilst viroid-tolerant RNAi_S5H plants exhibited less variation in VOC emission. Conclusions: This study demonstrates that SA levels significantly influence metabolic responses and immunity in tomato plants infected by CEVd. The identification of differential emitted VOCs upon CEVd infection could allow the development of biomarkers for disease or strategies for disease control.
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IEEE Internet of Things Journal
12341 citations, 2.22%
|
|
IEEE Transactions on Communications
11630 citations, 2.09%
|
|
Sensors
8526 citations, 1.53%
|
|
IEEE Transactions on Intelligent Transportation Systems
7850 citations, 1.41%
|
|
Wireless Personal Communications
5903 citations, 1.06%
|
|
IEEE Communications Letters
4913 citations, 0.88%
|
|
IET Communications
4872 citations, 0.87%
|
|
IEEE Journal on Selected Areas in Communications
4705 citations, 0.84%
|
|
Electronics (Switzerland)
4232 citations, 0.76%
|
|
Energies
4178 citations, 0.75%
|
|
Wireless Networks
3960 citations, 0.71%
|
|
IEEE Transactions on Mobile Computing
3588 citations, 0.64%
|
|
Wireless Communications and Mobile Computing
3507 citations, 0.63%
|
|
IEEE Wireless Communications Letters
3240 citations, 0.58%
|
|
Physical Communication
3134 citations, 0.56%
|
|
Eurasip Journal on Wireless Communications and Networking
3027 citations, 0.54%
|
|
Computer Networks
2913 citations, 0.52%
|
|
Lecture Notes in Computer Science
2785 citations, 0.5%
|
|
International Journal of Communication Systems
2742 citations, 0.49%
|
|
IEEE Transactions on Signal Processing
2714 citations, 0.49%
|
|
IEEE Transactions on Antennas and Propagation
2683 citations, 0.48%
|
|
Applied Sciences (Switzerland)
2648 citations, 0.48%
|
|
Computer Communications
2571 citations, 0.46%
|
|
IEEE Communications Surveys and Tutorials
2518 citations, 0.45%
|
|
IEEE Sensors Journal
2490 citations, 0.45%
|
|
IEEE Systems Journal
2442 citations, 0.44%
|
|
IEEE Transactions on Power Electronics
2285 citations, 0.41%
|
|
IEEE Transactions on Industrial Electronics
2281 citations, 0.41%
|
|
IEEE Transactions on Transportation Electrification
2157 citations, 0.39%
|
|
IEEE Open Journal of the Communications Society
2021 citations, 0.36%
|
|
Transactions on Emerging Telecommunications Technologies
1888 citations, 0.34%
|
|
Lecture Notes in Electrical Engineering
1763 citations, 0.32%
|
|
Vehicular Communications
1730 citations, 0.31%
|
|
Energy
1724 citations, 0.31%
|
|
Journal of Energy Storage
1718 citations, 0.31%
|
|
Ad Hoc Networks
1709 citations, 0.31%
|
|
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
1685 citations, 0.3%
|
|
IEEE Transactions on Green Communications and Networking
1629 citations, 0.29%
|
|
IEEE Transactions on Cognitive Communications and Networking
1608 citations, 0.29%
|
|
SAE Technical Papers
1474 citations, 0.26%
|
|
AEU - International Journal of Electronics and Communications
1459 citations, 0.26%
|
|
IEEE Transactions on Industrial Informatics
1405 citations, 0.25%
|
|
Applied Energy
1396 citations, 0.25%
|
|
Telecommunication Systems
1345 citations, 0.24%
|
|
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
1334 citations, 0.24%
|
|
International Journal of Distributed Sensor Networks
1234 citations, 0.22%
|
|
IEICE Transactions on Communications
1220 citations, 0.22%
|
|
IEEE Transactions on Aerospace and Electronic Systems
1201 citations, 0.22%
|
|
Digital Signal Processing: A Review Journal
1123 citations, 0.2%
|
|
IEEE Transactions on Instrumentation and Measurement
1093 citations, 0.2%
|
|
Journal of Network and Computer Applications
1085 citations, 0.19%
|
|
IEEE Transactions on Information Forensics and Security
1034 citations, 0.19%
|
|
IEEE Transactions on Industry Applications
1029 citations, 0.18%
|
|
IEEE Transactions on Intelligent Vehicles
1023 citations, 0.18%
|
|
Signal Processing
1016 citations, 0.18%
|
|
Electronics Letters
1012 citations, 0.18%
|
|
IEEE Transactions on Network Science and Engineering
999 citations, 0.18%
|
|
Proceedings of the IEEE
955 citations, 0.17%
|
|
IEEE Antennas and Wireless Propagation Letters
929 citations, 0.17%
|
|
Drones
921 citations, 0.17%
|
|
Journal of Power Sources
887 citations, 0.16%
|
|
Communications in Computer and Information Science
876 citations, 0.16%
|
|
Sustainability
831 citations, 0.15%
|
|
Renewable and Sustainable Energy Reviews
831 citations, 0.15%
|
|
IEEE Transactions on Information Theory
830 citations, 0.15%
|
|
IEEE/ACM Transactions on Networking
821 citations, 0.15%
|
|
Peer-to-Peer Networking and Applications
821 citations, 0.15%
|
|
IEEE Transactions on Network and Service Management
820 citations, 0.15%
|
|
Remote Sensing
817 citations, 0.15%
|
|
IET Intelligent Transport Systems
810 citations, 0.15%
|
|
Transportation Research Part C: Emerging Technologies
762 citations, 0.14%
|
|
IEEE Transactions on Broadcasting
758 citations, 0.14%
|
|
Digital Communications and Networks
741 citations, 0.13%
|
|
Mobile Networks and Applications
741 citations, 0.13%
|
|
IFAC-PapersOnLine
738 citations, 0.13%
|
|
IEEE Communications Magazine
724 citations, 0.13%
|
|
World Electric Vehicle Journal
723 citations, 0.13%
|
|
Mathematical Problems in Engineering
723 citations, 0.13%
|
|
Computers and Electrical Engineering
708 citations, 0.13%
|
|
Science China Information Sciences
697 citations, 0.13%
|
|
IEEE Signal Processing Letters
685 citations, 0.12%
|
|
Lecture Notes in Networks and Systems
663 citations, 0.12%
|
|
Eurasip Journal on Advances in Signal Processing
651 citations, 0.12%
|
|
Future Generation Computer Systems
646 citations, 0.12%
|
|
IEEE Wireless Communications
643 citations, 0.12%
|
|
International Journal of Antennas and Propagation
634 citations, 0.11%
|
|
Journal of Physics: Conference Series
627 citations, 0.11%
|
|
Security and Communication Networks
627 citations, 0.11%
|
|
Advances in Intelligent Systems and Computing
609 citations, 0.11%
|
|
IEEE Transactions on Microwave Theory and Techniques
608 citations, 0.11%
|
|
International Journal of Automotive Technology
596 citations, 0.11%
|
|
IEEE Journal on Selected Topics in Signal Processing
589 citations, 0.11%
|
|
IEEE Journal of Emerging and Selected Topics in Power Electronics
584 citations, 0.1%
|
|
Journal of the Franklin Institute
581 citations, 0.1%
|
|
Mathematics
580 citations, 0.1%
|
|
IEEE Open Journal of Vehicular Technology
578 citations, 0.1%
|
|
Expert Systems with Applications
576 citations, 0.1%
|
|
Show all (70 more) | |
5000
10000
15000
20000
25000
30000
35000
40000
45000
50000
|
Citing publishers
50000
100000
150000
200000
250000
300000
350000
|
|
Institute of Electrical and Electronics Engineers (IEEE)
314542 citations, 56.47%
|
|
Elsevier
51859 citations, 9.31%
|
|
Springer Nature
43960 citations, 7.89%
|
|
MDPI
30323 citations, 5.44%
|
|
Wiley
14025 citations, 2.52%
|
|
Institution of Engineering and Technology (IET)
11172 citations, 2.01%
|
|
Hindawi Limited
9044 citations, 1.62%
|
|
SAGE
5391 citations, 0.97%
|
|
Taylor & Francis
4454 citations, 0.8%
|
|
Association for Computing Machinery (ACM)
3800 citations, 0.68%
|
|
SAE International
1925 citations, 0.35%
|
|
IOP Publishing
1891 citations, 0.34%
|
|
IGI Global
1526 citations, 0.27%
|
|
Springer Publishing Company
1437 citations, 0.26%
|
|
Institute of Electronics, Information and Communications Engineers (IEICE)
871 citations, 0.16%
|
|
Cambridge University Press
842 citations, 0.15%
|
|
Science in China Press
828 citations, 0.15%
|
|
Trans Tech Publications
755 citations, 0.14%
|
|
745 citations, 0.13%
|
|
Optica Publishing Group
745 citations, 0.13%
|
|
Frontiers Media S.A.
716 citations, 0.13%
|
|
AIP Publishing
705 citations, 0.13%
|
|
World Scientific
638 citations, 0.11%
|
|
Korea Soc of Automotive Engineers, Inc
543 citations, 0.1%
|
|
Walter de Gruyter
537 citations, 0.1%
|
|
Emerald
522 citations, 0.09%
|
|
ASME International
513 citations, 0.09%
|
|
Tech Science Press
496 citations, 0.09%
|
|
Public Library of Science (PLoS)
454 citations, 0.08%
|
|
SPIE-Intl Soc Optical Eng
413 citations, 0.07%
|
|
EDP Sciences
396 citations, 0.07%
|
|
IOS Press
386 citations, 0.07%
|
|
Electromagnetics Academy
350 citations, 0.06%
|
|
Instrument Society of America
318 citations, 0.06%
|
|
American Society of Civil Engineers (ASCE)
281 citations, 0.05%
|
|
China Science Publishing & Media
279 citations, 0.05%
|
|
IntechOpen
274 citations, 0.05%
|
|
Oxford University Press
270 citations, 0.05%
|
|
Beijing University of Posts and Telecommunications
251 citations, 0.05%
|
|
Korean Institute of Power Electronics
247 citations, 0.04%
|
|
King Saud University
207 citations, 0.04%
|
|
American Institute of Aeronautics and Astronautics (AIAA)
203 citations, 0.04%
|
|
Alexandria University
192 citations, 0.03%
|
|
Korean Institute of Communications Information Sciences
189 citations, 0.03%
|
|
Pleiades Publishing
186 citations, 0.03%
|
|
183 citations, 0.03%
|
|
Scientific Research Publishing
181 citations, 0.03%
|
|
Bentham Science Publishers Ltd.
173 citations, 0.03%
|
|
American Institute of Mathematical Sciences (AIMS)
172 citations, 0.03%
|
|
Science Alert
153 citations, 0.03%
|
|
PeerJ
136 citations, 0.02%
|
|
The Electrochemical Society
130 citations, 0.02%
|
|
Social Science Electronic Publishing
130 citations, 0.02%
|
|
Institute of Electrical Engineers of Japan (IEE Japan)
120 citations, 0.02%
|
|
Research Square Platform LLC
104 citations, 0.02%
|
|
American Chemical Society (ACS)
99 citations, 0.02%
|
|
Engineering and Technology Publishing
99 citations, 0.02%
|
|
Hans Publishers
99 citations, 0.02%
|
|
Royal Society of Chemistry (RSC)
97 citations, 0.02%
|
|
World Scientific and Engineering Academy and Society (WSEAS)
95 citations, 0.02%
|
|
Tsinghua University Press
94 citations, 0.02%
|
|
Acta Physica Sinica, Chinese Physical Society and Institute of Physics, Chinese Academy of Sciences
83 citations, 0.01%
|
|
Academy Publisher
80 citations, 0.01%
|
|
Korean Society of Mechanical Engineers
76 citations, 0.01%
|
|
Acoustical Society of America (ASA)
67 citations, 0.01%
|
|
65 citations, 0.01%
|
|
Shanghai Jiaotong University Press
56 citations, 0.01%
|
|
Copernicus
51 citations, 0.01%
|
|
Korean Institute of Electrical Engineers
49 citations, 0.01%
|
|
European Control Association
48 citations, 0.01%
|
|
Institute for Operations Research and the Management Sciences (INFORMS)
46 citations, 0.01%
|
|
Japan Society of Mechanical Engineers
44 citations, 0.01%
|
|
JVE International Ltd.
39 citations, 0.01%
|
|
American Physical Society (APS)
38 citations, 0.01%
|
|
Begell House
36 citations, 0.01%
|
|
University of Suceava
35 citations, 0.01%
|
|
The Korean Society of Precision Engineering
35 citations, 0.01%
|
|
conference record - asilomar conference on signals, systems and computers
34 citations, 0.01%
|
|
Korean Society of Automotive Engineers
34 citations, 0.01%
|
|
The Royal Society
33 citations, 0.01%
|
|
Canadian Science Publishing
33 citations, 0.01%
|
|
OAE Publishing Inc.
32 citations, 0.01%
|
|
Information Processing Society of Japan
30 citations, 0.01%
|
|
Japan Society of Applied Physics
29 citations, 0.01%
|
|
Centro de Ciencias Aplicadas y Desarrollo Tecnologico, Universidad Nacional Autonoma de Mexico
29 citations, 0.01%
|
|
Wuhan University
29 citations, 0.01%
|
|
Engineering, Technology & Applied Science Research
29 citations, 0.01%
|
|
Editions Technip
28 citations, 0.01%
|
|
Society for Industrial and Applied Mathematics (SIAM)
27 citations, 0%
|
|
Brazilian Microwave and Optoelectronics Society
26 citations, 0%
|
|
Arizona State University
23 citations, 0%
|
|
Universitat Politecnica de Valencia
22 citations, 0%
|
|
Institute of Control, Robotics and Systems
22 citations, 0%
|
|
American Scientific Publishers
21 citations, 0%
|
|
21 citations, 0%
|
|
National Institute of Telecommunications
21 citations, 0%
|
|
F1000 Research
21 citations, 0%
|
|
Zhejiang University Press
20 citations, 0%
|
|
20 citations, 0%
|
|
Research Institute of Signal Processing, Japan
20 citations, 0%
|
|
Show all (70 more) | |
50000
100000
150000
200000
250000
300000
350000
|
Publishing organizations
100
200
300
400
500
600
|
|
Southeast University
577 publications, 3%
|
|
Xidian University
533 publications, 2.77%
|
|
Beijing University of Posts and Telecommunications
457 publications, 2.38%
|
|
Tsinghua University
437 publications, 2.27%
|
|
University of Electronic Science and Technology of China
419 publications, 2.18%
|
|
Nanyang Technological University
393 publications, 2.04%
|
|
University of Southampton
392 publications, 2.04%
|
|
Beijing Jiaotong University
347 publications, 1.81%
|
|
Beijing Institute of Technology
305 publications, 1.59%
|
|
University of Waterloo
302 publications, 1.57%
|
|
Nanjing University of Posts and Telecommunications
290 publications, 1.51%
|
|
Shanghai Jiao Tong University
268 publications, 1.39%
|
|
Korea Advanced Institute of Science and Technology
259 publications, 1.35%
|
|
University of British Columbia
234 publications, 1.22%
|
|
Harbin Institute of Technology
227 publications, 1.18%
|
|
National Yang Ming Chiao Tung University
214 publications, 1.11%
|
|
Carleton University
199 publications, 1.04%
|
|
Southwest Jiaotong University
194 publications, 1.01%
|
|
Beihang University
190 publications, 0.99%
|
|
Dalian University of Technology
180 publications, 0.94%
|
|
University of Sydney
177 publications, 0.92%
|
|
Zhejiang University
172 publications, 0.89%
|
|
University of Houston
167 publications, 0.87%
|
|
University of New South Wales
163 publications, 0.85%
|
|
Shenzhen University
159 publications, 0.83%
|
|
Huazhong University of Science and Technology
157 publications, 0.82%
|
|
City University of Hong Kong
157 publications, 0.82%
|
|
Nanjing University of Aeronautics and Astronautics
145 publications, 0.75%
|
|
Chongqing University of Posts and Telecommunications
141 publications, 0.73%
|
|
Hong Kong University of Science and Technology
140 publications, 0.73%
|
|
South China University of Technology
138 publications, 0.72%
|
|
Northwestern Polytechnical University
138 publications, 0.72%
|
|
University of Surrey
138 publications, 0.72%
|
|
Queen Mary University of London
137 publications, 0.71%
|
|
Tongji University
136 publications, 0.71%
|
|
Seoul National University
136 publications, 0.71%
|
|
National Taiwan University
135 publications, 0.7%
|
|
University of Alberta
135 publications, 0.7%
|
|
University of Technology Sydney
132 publications, 0.69%
|
|
University of Victoria
131 publications, 0.68%
|
|
Korea University
129 publications, 0.67%
|
|
University of Science and Technology of China
127 publications, 0.66%
|
|
National University of Defense Technology
127 publications, 0.66%
|
|
Singapore University of Technology and Design
127 publications, 0.66%
|
|
Sun Yat-sen University
126 publications, 0.66%
|
|
National Cheng Kung University
126 publications, 0.66%
|
|
University of Manchester
120 publications, 0.62%
|
|
National University of Singapore
118 publications, 0.61%
|
|
Yonsei University
117 publications, 0.61%
|
|
Samsung
115 publications, 0.6%
|
|
King Abdullah University of Science and Technology
109 publications, 0.57%
|
|
Kyung Hee University
107 publications, 0.56%
|
|
PLA Army Engineering University
104 publications, 0.54%
|
|
Nanjing University
102 publications, 0.53%
|
|
Georgia Institute of technology
102 publications, 0.53%
|
|
Xi'an Jiaotong University
100 publications, 0.52%
|
|
Aalto University
99 publications, 0.52%
|
|
Hong Kong Polytechnic University
99 publications, 0.52%
|
|
University of Florida
99 publications, 0.52%
|
|
Nanjing University of Science and Technology
98 publications, 0.51%
|
|
Guangdong University of Technology
98 publications, 0.51%
|
|
Wuhan University
97 publications, 0.5%
|
|
Commonwealth Scientific and Industrial Research Organization
97 publications, 0.5%
|
|
Qatar University
94 publications, 0.49%
|
|
Chongqing University
94 publications, 0.49%
|
|
Jilin University
92 publications, 0.48%
|
|
Peking University
91 publications, 0.47%
|
|
University of Edinburgh
91 publications, 0.47%
|
|
McGill University
90 publications, 0.47%
|
|
University of Oulu
89 publications, 0.46%
|
|
Chalmers University of Technology
87 publications, 0.45%
|
|
Toronto Metropolitan University
87 publications, 0.45%
|
|
KTH Royal Institute of Technology
86 publications, 0.45%
|
|
Indian Institute of Technology Delhi
84 publications, 0.44%
|
|
Western University
84 publications, 0.44%
|
|
Virginia Tech
83 publications, 0.43%
|
|
University of Warwick
82 publications, 0.43%
|
|
Hanyang University
81 publications, 0.42%
|
|
McMaster University
80 publications, 0.42%
|
|
Dalian Maritime University
79 publications, 0.41%
|
|
Chinese University of Hong Kong
79 publications, 0.41%
|
|
University of Hong Kong
79 publications, 0.41%
|
|
Queen's University at Kingston
79 publications, 0.41%
|
|
Jinan University
78 publications, 0.41%
|
|
Shandong University
78 publications, 0.41%
|
|
University of Texas at Dallas
78 publications, 0.41%
|
|
Université du Québec à Montréal
78 publications, 0.41%
|
|
Zhengzhou University
77 publications, 0.4%
|
|
University College London
75 publications, 0.39%
|
|
University of Michigan
75 publications, 0.39%
|
|
Electronics and Telecommunications Research Institute
74 publications, 0.39%
|
|
University of Texas at Austin
73 publications, 0.38%
|
|
Khalifa University
72 publications, 0.37%
|
|
Hunan University
72 publications, 0.37%
|
|
New Jersey Institute of Technology
71 publications, 0.37%
|
|
Queen's University Belfast
71 publications, 0.37%
|
|
Sungkyunkwan University
70 publications, 0.36%
|
|
University of Science and Technology Beijing
69 publications, 0.36%
|
|
Northeastern University
67 publications, 0.35%
|
|
University of Minnesota
67 publications, 0.35%
|
|
Show all (70 more) | |
100
200
300
400
500
600
|
Publishing organizations in 5 years
50
100
150
200
250
300
350
400
|
|
Southeast University
354 publications, 4.62%
|
|
Beijing University of Posts and Telecommunications
275 publications, 3.59%
|
|
Xidian University
262 publications, 3.42%
|
|
University of Electronic Science and Technology of China
260 publications, 3.4%
|
|
Beijing Jiaotong University
228 publications, 2.98%
|
|
Beijing Institute of Technology
210 publications, 2.74%
|
|
Nanjing University of Posts and Telecommunications
200 publications, 2.61%
|
|
Nanyang Technological University
199 publications, 2.6%
|
|
Tsinghua University
189 publications, 2.47%
|
|
Harbin Institute of Technology
151 publications, 1.97%
|
|
University of Southampton
142 publications, 1.85%
|
|
Beihang University
124 publications, 1.62%
|
|
Southwest Jiaotong University
118 publications, 1.54%
|
|
University of Houston
114 publications, 1.49%
|
|
Chongqing University of Posts and Telecommunications
113 publications, 1.48%
|
|
Dalian University of Technology
111 publications, 1.45%
|
|
Tongji University
109 publications, 1.42%
|
|
Shanghai Jiao Tong University
108 publications, 1.41%
|
|
Zhejiang University
104 publications, 1.36%
|
|
Shenzhen University
100 publications, 1.31%
|
|
Queen Mary University of London
98 publications, 1.28%
|
|
Northwestern Polytechnical University
97 publications, 1.27%
|
|
South China University of Technology
96 publications, 1.25%
|
|
Nanjing University of Aeronautics and Astronautics
96 publications, 1.25%
|
|
University of Waterloo
87 publications, 1.14%
|
|
University of Sydney
86 publications, 1.12%
|
|
University of Technology Sydney
82 publications, 1.07%
|
|
Sun Yat-sen University
81 publications, 1.06%
|
|
University of New South Wales
81 publications, 1.06%
|
|
National University of Defense Technology
80 publications, 1.04%
|
|
Carleton University
78 publications, 1.02%
|
|
Huazhong University of Science and Technology
74 publications, 0.97%
|
|
University of Manchester
74 publications, 0.97%
|
|
Wuhan University
72 publications, 0.94%
|
|
Guangdong University of Technology
71 publications, 0.93%
|
|
University of Science and Technology of China
71 publications, 0.93%
|
|
Singapore University of Technology and Design
70 publications, 0.91%
|
|
Chongqing University
68 publications, 0.89%
|
|
Zhengzhou University
66 publications, 0.86%
|
|
University of Surrey
66 publications, 0.86%
|
|
Nanjing University
65 publications, 0.85%
|
|
Kyung Hee University
61 publications, 0.8%
|
|
Jilin University
60 publications, 0.78%
|
|
Dalian Maritime University
59 publications, 0.77%
|
|
Korea University
59 publications, 0.77%
|
|
Nanjing University of Science and Technology
58 publications, 0.76%
|
|
Jinan University
57 publications, 0.74%
|
|
City University of Hong Kong
56 publications, 0.73%
|
|
Hunan University
54 publications, 0.71%
|
|
Northeastern University
53 publications, 0.69%
|
|
Qatar University
51 publications, 0.67%
|
|
Thapar Institute of Engineering and Technology
50 publications, 0.65%
|
|
Khalifa University
49 publications, 0.64%
|
|
Peking University
49 publications, 0.64%
|
|
Harbin Engineering University
47 publications, 0.61%
|
|
Southern University of Science and Technology
47 publications, 0.61%
|
|
Korea Advanced Institute of Science and Technology
47 publications, 0.61%
|
|
Hong Kong Polytechnic University
47 publications, 0.61%
|
|
University of Science and Technology Beijing
46 publications, 0.6%
|
|
Shandong University
46 publications, 0.6%
|
|
University of Luxembourg
46 publications, 0.6%
|
|
PLA Army Engineering University
46 publications, 0.6%
|
|
National Yang Ming Chiao Tung University
45 publications, 0.59%
|
|
Commonwealth Scientific and Industrial Research Organization
44 publications, 0.57%
|
|
University of Victoria
44 publications, 0.57%
|
|
Western University
44 publications, 0.57%
|
|
Hong Kong University of Science and Technology
43 publications, 0.56%
|
|
King Abdullah University of Science and Technology
40 publications, 0.52%
|
|
University of Warwick
40 publications, 0.52%
|
|
City University of Macau
39 publications, 0.51%
|
|
University of Windsor
39 publications, 0.51%
|
|
University of British Columbia
37 publications, 0.48%
|
|
University of Oulu
36 publications, 0.47%
|
|
Shanghai University
36 publications, 0.47%
|
|
Xi'an Jiaotong University
35 publications, 0.46%
|
|
Chalmers University of Technology
35 publications, 0.46%
|
|
Central South University
35 publications, 0.46%
|
|
Imperial College London
35 publications, 0.46%
|
|
Aalborg University
35 publications, 0.46%
|
|
Hohai University
35 publications, 0.46%
|
|
Toronto Metropolitan University
35 publications, 0.46%
|
|
Xiamen University
34 publications, 0.44%
|
|
Tohoku University
34 publications, 0.44%
|
|
Queen's University Belfast
34 publications, 0.44%
|
|
RWTH Aachen University
34 publications, 0.44%
|
|
University of Alberta
34 publications, 0.44%
|
|
Indian Institute of Technology Kharagpur
33 publications, 0.43%
|
|
Indian Institute of Technology Delhi
33 publications, 0.43%
|
|
Zhejiang University of Technology
33 publications, 0.43%
|
|
Tianjin University
33 publications, 0.43%
|
|
Hefei University of Technology
33 publications, 0.43%
|
|
Deakin University
33 publications, 0.43%
|
|
Kyungpook National University
33 publications, 0.43%
|
|
Fuzhou University
32 publications, 0.42%
|
|
University College London
32 publications, 0.42%
|
|
Henan Polytechnic University
32 publications, 0.42%
|
|
University of Sheffield
32 publications, 0.42%
|
|
Mohamed bin Zayed University of Artificial Intelligence
31 publications, 0.4%
|
|
China University of Mining and Technology
31 publications, 0.4%
|
|
University of Wollongong
31 publications, 0.4%
|
|
Show all (70 more) | |
50
100
150
200
250
300
350
400
|
Publishing countries
1000
2000
3000
4000
5000
6000
7000
8000
9000
|
|
China
|
China, 8471, 44.07%
China
8471 publications, 44.07%
|
USA
|
USA, 3684, 19.17%
USA
3684 publications, 19.17%
|
Canada
|
Canada, 2163, 11.25%
Canada
2163 publications, 11.25%
|
United Kingdom
|
United Kingdom, 1960, 10.2%
United Kingdom
1960 publications, 10.2%
|
Republic of Korea
|
Republic of Korea, 1457, 7.58%
Republic of Korea
1457 publications, 7.58%
|
Australia
|
Australia, 885, 4.6%
Australia
885 publications, 4.6%
|
Singapore
|
Singapore, 726, 3.78%
Singapore
726 publications, 3.78%
|
India
|
India, 606, 3.15%
India
606 publications, 3.15%
|
Japan
|
Japan, 582, 3.03%
Japan
582 publications, 3.03%
|
France
|
France, 495, 2.58%
France
495 publications, 2.58%
|
Germany
|
Germany, 466, 2.42%
Germany
466 publications, 2.42%
|
Italy
|
Italy, 462, 2.4%
Italy
462 publications, 2.4%
|
Spain
|
Spain, 376, 1.96%
Spain
376 publications, 1.96%
|
Sweden
|
Sweden, 340, 1.77%
Sweden
340 publications, 1.77%
|
Finland
|
Finland, 299, 1.56%
Finland
299 publications, 1.56%
|
Saudi Arabia
|
Saudi Arabia, 285, 1.48%
Saudi Arabia
285 publications, 1.48%
|
Iran
|
Iran, 262, 1.36%
Iran
262 publications, 1.36%
|
Greece
|
Greece, 206, 1.07%
Greece
206 publications, 1.07%
|
Turkey
|
Turkey, 202, 1.05%
Turkey
202 publications, 1.05%
|
UAE
|
UAE, 184, 0.96%
UAE
184 publications, 0.96%
|
Qatar
|
Qatar, 155, 0.81%
Qatar
155 publications, 0.81%
|
Brazil
|
Brazil, 151, 0.79%
Brazil
151 publications, 0.79%
|
Netherlands
|
Netherlands, 132, 0.69%
Netherlands
132 publications, 0.69%
|
Portugal
|
Portugal, 109, 0.57%
Portugal
109 publications, 0.57%
|
Norway
|
Norway, 106, 0.55%
Norway
106 publications, 0.55%
|
Ireland
|
Ireland, 93, 0.48%
Ireland
93 publications, 0.48%
|
Pakistan
|
Pakistan, 90, 0.47%
Pakistan
90 publications, 0.47%
|
Denmark
|
Denmark, 88, 0.46%
Denmark
88 publications, 0.46%
|
Belgium
|
Belgium, 87, 0.45%
Belgium
87 publications, 0.45%
|
Vietnam
|
Vietnam, 77, 0.4%
Vietnam
77 publications, 0.4%
|
Egypt
|
Egypt, 71, 0.37%
Egypt
71 publications, 0.37%
|
Austria
|
Austria, 64, 0.33%
Austria
64 publications, 0.33%
|
Luxembourg
|
Luxembourg, 61, 0.32%
Luxembourg
61 publications, 0.32%
|
Switzerland
|
Switzerland, 60, 0.31%
Switzerland
60 publications, 0.31%
|
Jordan
|
Jordan, 59, 0.31%
Jordan
59 publications, 0.31%
|
New Zealand
|
New Zealand, 56, 0.29%
New Zealand
56 publications, 0.29%
|
Malaysia
|
Malaysia, 53, 0.28%
Malaysia
53 publications, 0.28%
|
Israel
|
Israel, 52, 0.27%
Israel
52 publications, 0.27%
|
Russia
|
Russia, 40, 0.21%
Russia
40 publications, 0.21%
|
Poland
|
Poland, 37, 0.19%
Poland
37 publications, 0.19%
|
Lebanon
|
Lebanon, 35, 0.18%
Lebanon
35 publications, 0.18%
|
Mexico
|
Mexico, 35, 0.18%
Mexico
35 publications, 0.18%
|
South Africa
|
South Africa, 28, 0.15%
South Africa
28 publications, 0.15%
|
Thailand
|
Thailand, 27, 0.14%
Thailand
27 publications, 0.14%
|
Morocco
|
Morocco, 25, 0.13%
Morocco
25 publications, 0.13%
|
Iraq
|
Iraq, 24, 0.12%
Iraq
24 publications, 0.12%
|
Czech Republic
|
Czech Republic, 22, 0.11%
Czech Republic
22 publications, 0.11%
|
Algeria
|
Algeria, 21, 0.11%
Algeria
21 publications, 0.11%
|
Tunisia
|
Tunisia, 20, 0.1%
Tunisia
20 publications, 0.1%
|
Cyprus
|
Cyprus, 19, 0.1%
Cyprus
19 publications, 0.1%
|
Chile
|
Chile, 17, 0.09%
Chile
17 publications, 0.09%
|
Kazakhstan
|
Kazakhstan, 15, 0.08%
Kazakhstan
15 publications, 0.08%
|
Romania
|
Romania, 14, 0.07%
Romania
14 publications, 0.07%
|
Libya
|
Libya, 13, 0.07%
Libya
13 publications, 0.07%
|
Hungary
|
Hungary, 12, 0.06%
Hungary
12 publications, 0.06%
|
Kuwait
|
Kuwait, 12, 0.06%
Kuwait
12 publications, 0.06%
|
Puerto Rico
|
Puerto Rico, 10, 0.05%
Puerto Rico
10 publications, 0.05%
|
Serbia
|
Serbia, 9, 0.05%
Serbia
9 publications, 0.05%
|
Argentina
|
Argentina, 8, 0.04%
Argentina
8 publications, 0.04%
|
Indonesia
|
Indonesia, 8, 0.04%
Indonesia
8 publications, 0.04%
|
Bangladesh
|
Bangladesh, 7, 0.04%
Bangladesh
7 publications, 0.04%
|
Ecuador
|
Ecuador, 7, 0.04%
Ecuador
7 publications, 0.04%
|
Colombia
|
Colombia, 6, 0.03%
Colombia
6 publications, 0.03%
|
Croatia
|
Croatia, 6, 0.03%
Croatia
6 publications, 0.03%
|
Slovenia
|
Slovenia, 5, 0.03%
Slovenia
5 publications, 0.03%
|
Nigeria
|
Nigeria, 4, 0.02%
Nigeria
4 publications, 0.02%
|
Estonia
|
Estonia, 3, 0.02%
Estonia
3 publications, 0.02%
|
Bahrain
|
Bahrain, 3, 0.02%
Bahrain
3 publications, 0.02%
|
Ghana
|
Ghana, 3, 0.02%
Ghana
3 publications, 0.02%
|
Palestine
|
Palestine, 3, 0.02%
Palestine
3 publications, 0.02%
|
Sri Lanka
|
Sri Lanka, 3, 0.02%
Sri Lanka
3 publications, 0.02%
|
Ukraine
|
Ukraine, 2, 0.01%
Ukraine
2 publications, 0.01%
|
Bulgaria
|
Bulgaria, 2, 0.01%
Bulgaria
2 publications, 0.01%
|
Bosnia and Herzegovina
|
Bosnia and Herzegovina, 2, 0.01%
Bosnia and Herzegovina
2 publications, 0.01%
|
Yemen
|
Yemen, 2, 0.01%
Yemen
2 publications, 0.01%
|
Lithuania
|
Lithuania, 2, 0.01%
Lithuania
2 publications, 0.01%
|
Oman
|
Oman, 2, 0.01%
Oman
2 publications, 0.01%
|
Senegal
|
Senegal, 2, 0.01%
Senegal
2 publications, 0.01%
|
Syria
|
Syria, 2, 0.01%
Syria
2 publications, 0.01%
|
Ethiopia
|
Ethiopia, 2, 0.01%
Ethiopia
2 publications, 0.01%
|
Azerbaijan
|
Azerbaijan, 1, 0.01%
Azerbaijan
1 publication, 0.01%
|
Armenia
|
Armenia, 1, 0.01%
Armenia
1 publication, 0.01%
|
Burundi
|
Burundi, 1, 0.01%
Burundi
1 publication, 0.01%
|
Venezuela
|
Venezuela, 1, 0.01%
Venezuela
1 publication, 0.01%
|
Kenya
|
Kenya, 1, 0.01%
Kenya
1 publication, 0.01%
|
Costa Rica
|
Costa Rica, 1, 0.01%
Costa Rica
1 publication, 0.01%
|
Liechtenstein
|
Liechtenstein, 1, 0.01%
Liechtenstein
1 publication, 0.01%
|
Malta
|
Malta, 1, 0.01%
Malta
1 publication, 0.01%
|
Mongolia
|
Mongolia, 1, 0.01%
Mongolia
1 publication, 0.01%
|
Panama
|
Panama, 1, 0.01%
Panama
1 publication, 0.01%
|
Rwanda
|
Rwanda, 1, 0.01%
Rwanda
1 publication, 0.01%
|
North Macedonia
|
North Macedonia, 1, 0.01%
North Macedonia
1 publication, 0.01%
|
Slovakia
|
Slovakia, 1, 0.01%
Slovakia
1 publication, 0.01%
|
Trinidad and Tobago
|
Trinidad and Tobago, 1, 0.01%
Trinidad and Tobago
1 publication, 0.01%
|
Uganda
|
Uganda, 1, 0.01%
Uganda
1 publication, 0.01%
|
Uruguay
|
Uruguay, 1, 0.01%
Uruguay
1 publication, 0.01%
|
Philippines
|
Philippines, 1, 0.01%
Philippines
1 publication, 0.01%
|
Kosovo
|
Kosovo, 1, 0.01%
Kosovo
1 publication, 0.01%
|
Yugoslavia
|
Yugoslavia, 1, 0.01%
Yugoslavia
1 publication, 0.01%
|
Show all (69 more) | |
1000
2000
3000
4000
5000
6000
7000
8000
9000
|
Publishing countries in 5 years
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
|
|
China
|
China, 4850, 63.34%
China
4850 publications, 63.34%
|
USA
|
USA, 864, 11.28%
USA
864 publications, 11.28%
|
United Kingdom
|
United Kingdom, 859, 11.22%
United Kingdom
859 publications, 11.22%
|
Canada
|
Canada, 691, 9.02%
Canada
691 publications, 9.02%
|
Republic of Korea
|
Republic of Korea, 503, 6.57%
Republic of Korea
503 publications, 6.57%
|
Australia
|
Australia, 436, 5.69%
Australia
436 publications, 5.69%
|
India
|
India, 356, 4.65%
India
356 publications, 4.65%
|
Singapore
|
Singapore, 331, 4.32%
Singapore
331 publications, 4.32%
|
Japan
|
Japan, 170, 2.22%
Japan
170 publications, 2.22%
|
Germany
|
Germany, 154, 2.01%
Germany
154 publications, 2.01%
|
UAE
|
UAE, 136, 1.78%
UAE
136 publications, 1.78%
|
France
|
France, 128, 1.67%
France
128 publications, 1.67%
|
Saudi Arabia
|
Saudi Arabia, 124, 1.62%
Saudi Arabia
124 publications, 1.62%
|
Spain
|
Spain, 118, 1.54%
Spain
118 publications, 1.54%
|
Sweden
|
Sweden, 118, 1.54%
Sweden
118 publications, 1.54%
|
Italy
|
Italy, 117, 1.53%
Italy
117 publications, 1.53%
|
Finland
|
Finland, 100, 1.31%
Finland
100 publications, 1.31%
|
Turkey
|
Turkey, 94, 1.23%
Turkey
94 publications, 1.23%
|
Iran
|
Iran, 93, 1.21%
Iran
93 publications, 1.21%
|
Qatar
|
Qatar, 69, 0.9%
Qatar
69 publications, 0.9%
|
Greece
|
Greece, 64, 0.84%
Greece
64 publications, 0.84%
|
Vietnam
|
Vietnam, 59, 0.77%
Vietnam
59 publications, 0.77%
|
Portugal
|
Portugal, 53, 0.69%
Portugal
53 publications, 0.69%
|
Brazil
|
Brazil, 53, 0.69%
Brazil
53 publications, 0.69%
|
Pakistan
|
Pakistan, 51, 0.67%
Pakistan
51 publications, 0.67%
|
Luxembourg
|
Luxembourg, 49, 0.64%
Luxembourg
49 publications, 0.64%
|
Ireland
|
Ireland, 48, 0.63%
Ireland
48 publications, 0.63%
|
Denmark
|
Denmark, 40, 0.52%
Denmark
40 publications, 0.52%
|
Netherlands
|
Netherlands, 39, 0.51%
Netherlands
39 publications, 0.51%
|
Norway
|
Norway, 38, 0.5%
Norway
38 publications, 0.5%
|
Belgium
|
Belgium, 29, 0.38%
Belgium
29 publications, 0.38%
|
Poland
|
Poland, 29, 0.38%
Poland
29 publications, 0.38%
|
Jordan
|
Jordan, 27, 0.35%
Jordan
27 publications, 0.35%
|
Russia
|
Russia, 22, 0.29%
Russia
22 publications, 0.29%
|
Egypt
|
Egypt, 22, 0.29%
Egypt
22 publications, 0.29%
|
Israel
|
Israel, 19, 0.25%
Israel
19 publications, 0.25%
|
Malaysia
|
Malaysia, 19, 0.25%
Malaysia
19 publications, 0.25%
|
Austria
|
Austria, 18, 0.24%
Austria
18 publications, 0.24%
|
Switzerland
|
Switzerland, 17, 0.22%
Switzerland
17 publications, 0.22%
|
Iraq
|
Iraq, 16, 0.21%
Iraq
16 publications, 0.21%
|
Lebanon
|
Lebanon, 13, 0.17%
Lebanon
13 publications, 0.17%
|
Czech Republic
|
Czech Republic, 13, 0.17%
Czech Republic
13 publications, 0.17%
|
Morocco
|
Morocco, 12, 0.16%
Morocco
12 publications, 0.16%
|
New Zealand
|
New Zealand, 11, 0.14%
New Zealand
11 publications, 0.14%
|
Cyprus
|
Cyprus, 10, 0.13%
Cyprus
10 publications, 0.13%
|
South Africa
|
South Africa, 10, 0.13%
South Africa
10 publications, 0.13%
|
Algeria
|
Algeria, 9, 0.12%
Algeria
9 publications, 0.12%
|
Romania
|
Romania, 7, 0.09%
Romania
7 publications, 0.09%
|
Kuwait
|
Kuwait, 6, 0.08%
Kuwait
6 publications, 0.08%
|
Chile
|
Chile, 6, 0.08%
Chile
6 publications, 0.08%
|
Ecuador
|
Ecuador, 6, 0.08%
Ecuador
6 publications, 0.08%
|
Kazakhstan
|
Kazakhstan, 5, 0.07%
Kazakhstan
5 publications, 0.07%
|
Indonesia
|
Indonesia, 5, 0.07%
Indonesia
5 publications, 0.07%
|
Bangladesh
|
Bangladesh, 4, 0.05%
Bangladesh
4 publications, 0.05%
|
Hungary
|
Hungary, 4, 0.05%
Hungary
4 publications, 0.05%
|
Mexico
|
Mexico, 4, 0.05%
Mexico
4 publications, 0.05%
|
Thailand
|
Thailand, 4, 0.05%
Thailand
4 publications, 0.05%
|
Tunisia
|
Tunisia, 4, 0.05%
Tunisia
4 publications, 0.05%
|
Palestine
|
Palestine, 3, 0.04%
Palestine
3 publications, 0.04%
|
Argentina
|
Argentina, 2, 0.03%
Argentina
2 publications, 0.03%
|
Bahrain
|
Bahrain, 2, 0.03%
Bahrain
2 publications, 0.03%
|
Ghana
|
Ghana, 2, 0.03%
Ghana
2 publications, 0.03%
|
Libya
|
Libya, 2, 0.03%
Libya
2 publications, 0.03%
|
Serbia
|
Serbia, 2, 0.03%
Serbia
2 publications, 0.03%
|
Croatia
|
Croatia, 2, 0.03%
Croatia
2 publications, 0.03%
|
Sri Lanka
|
Sri Lanka, 2, 0.03%
Sri Lanka
2 publications, 0.03%
|
Ethiopia
|
Ethiopia, 2, 0.03%
Ethiopia
2 publications, 0.03%
|
Ukraine
|
Ukraine, 1, 0.01%
Ukraine
1 publication, 0.01%
|
Estonia
|
Estonia, 1, 0.01%
Estonia
1 publication, 0.01%
|
Bulgaria
|
Bulgaria, 1, 0.01%
Bulgaria
1 publication, 0.01%
|
Kenya
|
Kenya, 1, 0.01%
Kenya
1 publication, 0.01%
|
Costa Rica
|
Costa Rica, 1, 0.01%
Costa Rica
1 publication, 0.01%
|
Lithuania
|
Lithuania, 1, 0.01%
Lithuania
1 publication, 0.01%
|
Malta
|
Malta, 1, 0.01%
Malta
1 publication, 0.01%
|
Nigeria
|
Nigeria, 1, 0.01%
Nigeria
1 publication, 0.01%
|
Panama
|
Panama, 1, 0.01%
Panama
1 publication, 0.01%
|
Puerto Rico
|
Puerto Rico, 1, 0.01%
Puerto Rico
1 publication, 0.01%
|
Rwanda
|
Rwanda, 1, 0.01%
Rwanda
1 publication, 0.01%
|
Syria
|
Syria, 1, 0.01%
Syria
1 publication, 0.01%
|
Slovakia
|
Slovakia, 1, 0.01%
Slovakia
1 publication, 0.01%
|
Slovenia
|
Slovenia, 1, 0.01%
Slovenia
1 publication, 0.01%
|
Trinidad and Tobago
|
Trinidad and Tobago, 1, 0.01%
Trinidad and Tobago
1 publication, 0.01%
|
Philippines
|
Philippines, 1, 0.01%
Philippines
1 publication, 0.01%
|
Show all (53 more) | |
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
|
9 profile journal articles
Tsiftsis Theodoros
47 publications,
248 citations
h-index: 8
4 profile journal articles
X. Thang
121 publications,
2 247 citations
h-index: 20
2 profile journal articles
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Louisiana State University
114 publications,
785 citations
h-index: 12
2 profile journal articles
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PhD
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Stanford University
27 publications,
205 citations
h-index: 8
2 profile journal articles
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University of Modena and Reggio Emilia
108 publications,
1 152 citations
h-index: 18
2 profile journal articles
MORELLI MICHELE
110 publications,
4 550 citations
h-index: 27
2 profile journal articles
Niu Guanchong
7 publications,
87 citations
h-index: 5
2 profile journal articles
Zhouyan
3 publications,
31 citations
h-index: 3
1 profile journal article
Bychkov Roman
15 publications,
83 citations
h-index: 6
1 profile journal article
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21 publications,
204 citations
h-index: 6