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Categories
Computer Networks and Communications
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Computer Science
Engineering
Years of issue
2001-2024
journal names
Wireless Communications and Mobile Computing
Top-3 citing journals

Wireless Communications and Mobile Computing
(2745 citations)

IEEE Access
(2607 citations)

Sensors
(1546 citations)
Top-3 organizations

Beijing University of Posts and Telecommunications
(149 publications)

Beijing Jiaotong University
(90 publications)

Harbin Institute of Technology
(77 publications)

Beijing University of Posts and Telecommunications
(79 publications)

Taif University
(55 publications)

Guilin University of Electronic Technology
(53 publications)
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Most cited in 5 years
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Publications found: 12371
Q2

Determination of KGa‐1b and SHCa‐1 Δ′17O and δ18O via Laser Fluorination of Lithium Fluoride Clay Pellets
Gagnon C., Havel R., Chen J., Piccione G., Ibarra D.
ABSTRACTRationaleStable oxygen isotope measurements in silicate clays, such as smectite and kaolinite, provide crucial information for understanding Earth's climate history and environmental changes. Despite a growing interest in the oxygen isotope analysis of silicate clays and clay‐rich sediments, there lacks a consensus on the preparation and standardization of clay mineral samples. To improve the accuracy and interlaboratory comparisons of clay isotope measurements, especially those involving laser fluorination techniques, newly established kaolinite and smectite oxygen isotope standards are much needed.MethodsWe employed conventional nickel bomb fluorination combined with dual‐inlet isotope ratio mass spectrometry to establish precise δ18O and Δ′17O values for leached clay reference materials KGa‐1b and SHCa‐1, a kaolinite and a hectorite/smectite, respectively. We further measured leached KGa‐1b and SHCa‐1 pressed into pellets with a lithium fluoride as a binding agent for the laser fluorination method, allowing us to test the reproducibility between methods and utilize a standard laser chamber drift correction scheme.ResultsThe laser fluorination technique yielded highly precise and reproducible δ18O and Δ′17O measurements for the KGa‐1b and SHCa‐1, aligning with bomb values of δ18O. This confirms the method's reliability and comparability to conventional isotope measurement techniques while also stressing the importance of proper sample preparation and laser chamber drift corrections.ConclusionsThis study demonstrates that laser fluorination is an effective method for accurately measuring the stable oxygen isotope composition of silicate clays or clay‐rich sediments when corrected with known silicate clay standards. These methods offer a valuable methodology for future research and applications that will significantly improve our understanding of past climate and environmental conditions.
Q2

Rapid Proteomic Amelogenin Sex Estimation of Human and Cattle Remains Using Untargeted Evosep‐timsTOF Mass Spectrometry
Blacka C., Dowle A., Lisowski M., Alexander M., Hendy J., Penkman K., Mosely J.
ABSTRACTRationaleSex estimation by analysis of amelogenin peptides in archaeological and fossil material has recently been gaining great traction within the fields of archaeology and palaeontology. Current widely used proteomic amelogenin sex estimation methods are hindered by relatively long mass spectrometric run times, or targeting peptides specific to human amelogenin proteins. Untargeted, high‐throughput amelogenin sexing would be invaluable for a range of applications, from sex estimation of remains at mass grave sites to broadening the application of rapid amelogenin sexing to non‐hominin species for husbandry and evolutionary studies.MethodsA new acid etch protocol followed by Evosep‐LC‐TIMS‐TOF mass spectrometry is presented for amelogenin analysis, providing global peptide data through rapid mass spectrometric methods in under 20 min per sample (including sample preparation, mass spectrometric acquisition and data processing). This sampling protocol was developed on modern cattle (Bos taurus) teeth, before Evosep‐timsTOF partial validation with archaeological cattle and human (Homo sapiens) teeth, demonstrating the potential of straightforward application of this rapid amelogenin sexing method to a range of taxa.ResultsThe rapid Evosep‐LC‐TIMS‐TOF mass spectrometry methods gave comparable peptide counts to conventional long untargeted methods, while maintaining similar (or faster) acquisition times to those reported in methods targeting specific human amelogenin peptides. Implementation of the novel acid etch sampling approach also streamlined sample preparation without compromising peptide counts.ConclusionsRapid, untargeted Evosep‐LC‐TIMS‐TOF mass spectrometry was successfully implemented in sex estimation of modern and archaeological material from Bos taurus and Homo sapiens teeth. This demonstrates an advancement in low‐cost, high‐throughput amelogenin sex estimation, for both human and zooarchaeological applications.
Q2

Determination of K Isotope Compositions in Sedimentary Rocks and Their Implications for Discriminating Sediment Origin
Cui M., Moynier F., Su B., Hu Y.
ABSTRACTThe advent of a new generation of collision‐cell multicollector inductively‐coupled‐plasma mass‐spectrometers (CC–MC–ICP–MS), the Nu sapphire, has provided a new venue in achieving higher precision K isotopic compositions compared to the older generation of instruments. Here, we take advantage of this new technology to report the K isotopic compositions of eight sediment reference materials. The K isotopic compositions (reported as the δ41K representing the 41K/39K ratios) for these sediment reference materials span a range of 0.2‰: −0.42 ± 0.04‰ (BCSS‐1), −0.51 ± 0.07‰ (MESS‐1), and −0.43 ± 0.01‰ (MESS‐4) for three marine sediments, −0.35 ± 0.07‰ (NIST‐SRM 1646a) for estuarine sediment, −0.40 ± 0.06‰ (NIST‐SRM 2704) and −0.40 ± 0.05‰ (SWR‐3) for two river sediments, −0.55 ± 0.04‰ (NIST‐SRM 1d) for limestone, and −0.46 ± 0.00‰ (SBC‐1) for marine shale. The high‐precision K isotopic data presented herein provide a valuable reference for future quality control and interlaboratory comparisons. Data compilation reveals that biogenic sediments show extremely low K concentrations (K2O = 0.001–0.048 wt.%) and large K isotopic variations (δ41K = −1.88–0.94‰) with an average value of −0.001‰, whereas the abiogenic sediments are featured with light K isotopes (average δ41K value of −0.47‰) and high K concentrations (K2O = 0.52 ~ 4.29 wt.%). This finding suggests that the variation of K isotopes may serve as a useful tool for discriminating the various geneses of sediments.
Q2

Carbon and Nitrogen Isotopic Composition of Duplicate Diet of the Japanese
Yoshinaga J.
ABSTRACTRationaleCarbon and nitrogen stable isotope ratios (δ13C and δ15N) of whole diet have rarely been measured to date though the isotope ratios in human sample have been extensively used for diet and nutritional researches. In order to fully validate the isotope dietary analysis, isotopic information of whole diet is required.Methodsδ13C and δ15N of 150 duplicate diet samples collected in Japan during 2016–2017 were measured. Sixty‐five males and 85 females (mean age: 45 years) donated duplicate diet sample of which δ13C and δ15N were measured by element analyzer‐isotope ratio mass spectrometry.ResultsMean δ13C and δ15N of the 150 duplicate diets were −24.3 (1.1) ‰ and 3.58 (0.93) ‰, respectively, with no gender‐ and age‐dependent variation. δ15N of diet containing seafood (median: 3.60‰, n = 111) was significantly more elevated than that not containing seafood (3.01‰, n = 39). δ15N of Japanese diet is decreasing from 1990s to the present, which is consistent with the national statistics showing decreasing trend of seafood consumption of the Japanese. Contradictory to these observation, dietary δ15N was not elevated in diet samples from the elderlies though the diet of elderlies contained seafood more frequently than those of younger study participants.ConclusionThere were some uncertainties as to whether seafood is a major determinant of dietary δ15N of the Japanese. To further characterize dietary components that determine δ values, isotope ratio analysis of diet of known quantitative dietary components is warranted.
Q2

Combination of Metabolite Analysis and Network Pharmacology to Explore the Potential Anticough Mechanism of Protopine—A Marker in Zhi‐Ke‐Bao Tablets
Zou Q., Chen D., Liu C., Chen Z., Yang X., Xu R., Zhou Z., Chen J., Shi W., Zhang F.
ABSTRACTRationaleProtopine, an active alkaloid in Papaver somniferum L., was abundant in a well‐known anticough traditional Chinese medicine preparation—Zhi‐Ke‐Bao tablets. Till now, the metabolism feature and anticough mechanism of protopine have not been fully elucidated, restricting its further development.MethodsThe metabolites of protopine in rats were profiled by using ultra‐high performance liquid chromatography coupled with time‐of‐flight mass spectrometry, and its anticough targets and mechanism were predicted by network pharmacology.ResultsIn rats, a total of 19 metabolites were identified following ingestion of protopine (21 mg/kg/day, i.g.), including 4 in plasma, 6 in urine, 5 in feces, 10 in liver, 2 in spleen, 4 in lung, 3 in kidney, 3 in heart, and 3 in brain. The main metabolic features were ring‐opening, methylation, demethylation, glucuronidation, sulfation, and hydroxylation. Among them, methylation, sulfation, and hydroxylation of protopine in vivo were revealed for the first time. The network pharmacology results show that protopine and its metabolites regulate physiological activities by acting on STAT3, SRC, CASP3, MTOR, MMP9, ESR1, and other targets, involving PI3K‐Akt signaling pathway, FoxO signaling pathway, and TNF signaling pathway, etc.ConclusionsThe metabolic features of protopine and its potential mechanisms for anticough effects were outlined, providing data for further anticough pharmacological validation of protopine.
Q2

Fast Pyrolysis of Cigarette and Cigar Leaves: Differential Analysis of Their Heavy Products by Ultrahigh‐Resolution Mass Spectrometry
Zhu Z., Zhang C., Shi Y., Zou P., Ding N., Zong K., Jia L., Guo D.
ABSTRACTRationaleThe cigars have characteristic flavors in smoke when compared with cigarettes, and cigars from various origins also have a difference in taste. However, little information can be found about the difference in chemical components of smokes between cigar and cigarette as well as between cigars, so it is interesting to compare their pyrolysis product distribution.MethodsThe cigarette and cigar leaves were pyrolyzed in a microfluidized‐bed reactor, and the pyrolysis vapors were condensed and collected using cold traps. Mass spectrometric analysis of condensed liquids was performed utilizing electrospray ionization‐orbitrap mass spectrometry in both positive and negative ion modes.ResultsThe mass spectra of condensable pyrolysis products of three tobacco leaves were obtained by Orbitrap‐MS in both positive and negative ESI modes. The DBE values (to carbon atom number) and the relative distribution (to nitrogen or oxygen atom number) of different products were carefully compared and discussed.ConclusionThe main difference in pyrolysis products between cigarette and cigar leaves relates to N1–N2 class compounds in high‐mass range as well as highly unsaturated nitrogenated compounds, while the one between two cigar leaves is associated with CxHyOzN5–9 and C30‐50HyOzNw compounds. Besides, the oxygenated products that fall into the H/C > 2 and O/C < 1 ranges are also characteristic for Dominican cigar.
Q2

Pioneering Mass Spectrometry: A Tribute to My Mentor Jean‐François Muller and His Enduring Legacy
Frache G.
ABSTRACTProfessor Jean‐François Muller, a distinguished figure in the field of mass spectrometry, made significant contributions to the advancement of analytical chemistry and its applications. As the founding director of the Laboratory of Mass Spectrometry and Laser Chemistry at the University of Metz, Muller played a pivotal role in establishing Metz as a leading center for mass spectrometry research. His pioneering work, particularly in the development of matrix‐assisted laser desorption/ionization (MALDI) instrumentation and Fourier transform ion cyclotron resonance mass Spectrometry (FTICR MS), has had a profound impact on various scientific disciplines. This article commemorates Professor Muller's illustrious career and highlights his collaborative efforts with industrial partners such as Total, which led to groundbreaking advancements in MS analysis. I will delve into the key findings of my thesis which focused on instrumental developments for MALDI analysis and imaging, as well as personal reminiscences and the impact of his inspiring mentorship.
Q2

Systematic Analysis of the Chemical Components of Gentiana urnula Harry Sm Using SIRIUS and Liquid Chromatography High‐Resolution Mass Spectrometry
Yan Z., Ning J., Luo Z., Li D., Wang H., Xie X.
ABSTRACTRationaleGentiana urnula Harry Sm is a frequently utilized traditional Chinese medicine (TCM) with applications in the treatment of a range of ailments including jaundice, gastrointestinal ulcers, and influenza. Despite its widespread uses, there is a lack of comprehensive researches on the chemical composition.MethodsThis study integrated SIRIUS, quantitative structure‐retention relationship (QSRR), and liquid chromatography high‐resolution mass spectrometry (LC‐HRMS) to identify the compounds in Gentiana urnula Harry Sm.ResultsA total of 213 compounds were identified with high confidence based on retention time (tR), MS1, and MS/MS. Among the 213 compounds, 26 compounds were positively identified firstly in Gentiana urnula Harry Sm. More than 5000 compounds were classified based on MS/MS. Spatial distribution revealed the similarities in compound between roots and stems, while differences were observed between leaves and flowers.ConclusionsThis study lays the foundation for further investigations into the biological activity and pharmacological mechanism of Gentiana urnula Harry Sm.
Q2

Part B: SLICE‐MSI—A Machine Learning Interface for System Suitability Testing of Mass Spectrometry Imaging Platforms
Kibbe R., Mills Q., Sohn A., Muddiman D.
ABSTRACTRationaleThe field of mass spectrometry imaging is currently devoid of standardized protocols or commercially available products designed for system suitability testing of MSI platforms. Machine learning is an approach that can quickly and effectively identify complex patterns in data and use them to make informed classifications, but there is a technical barrier to implementing these algorithms. Here we package the machine learning algorithms into a user‐friendly interface to make community‐wide implementation of this protocol possible.MethodsThe software package is built entirely in the Python language using the PySimpleGUI library for the construction of the interface, Pandas and Numpy libraries for data formatting and manipulation, and the Scikit‐Learn library for the implementation of machine learning algorithms. Training data is collected on an instrument under clean and compromised conditions that can then be used to evaluate model performance and to train models prior to interrogating unknown samples before, during, or after experiments.ResultsDetailed instructions are provided for the effective use of the SLICE‐MSI software package to use machine learning to evaluate instrument condition of MSI platforms. File formatting and generalizable steps are clearly described to make the implementation of this package easy for multiple labs and different MSI platform configurations.ConclusionsIn this protocol, we demonstrate SLICE‐MSI, a machine learning graphical user interface for efficient and easy implementation of QC instrument classification of mass spectrometry imaging platforms.
Q2

Part A: Implementing an Analyte Panel and Sampling Protocol for Quality Control in Mass Spectrometry Imaging
Mills Q., Kibbe R., Sohn A., Percy A., Backiel K., Muddiman D.
ABSTRACTRationaleWhile quality control (QC) and system suitability testing (SST) methods are commonly employed in mass spectrometry, the field of mass spectrometry imaging (MSI) currently lacks any universally accepted QC/SST protocols. These methods can prevent the loss of precious samples due to suboptimal instrument conditions and/or data quality, but they are more challenging to implement on MSI platforms. Herein, a panel of analytes is conveniently analyzed in a setup that reflects a typical MSI imaging experiment, and guidance is provided for downstream QC/SST evaluation.MethodsThe analyte panel will be commercially available and consists of three pairs of unlabeled (NAT) analytes and their stable isotope–labeled (SIL) analogues; a deviation from the standard procedure is also included, which incorporates a polymer to expand m/z coverage. The NAT three‐plex (or four‐plex with the added polymer) is analyzed as a droplet on a slide, and the SIL three‐plex is doped into the electrospray solvent, isolating the NAT and SIL compounds to different source components. Datasets are collected on clean and compromised instruments to inform QC/SST software and later evaluate instrument conditions or isolated metrics of data quality.ResultsA procedure was created for QC/SST analysis on MSI platforms, which can be optionally paired with the freely available software Supervised Learning for Instrument Classification and Evaluation for Mass Spectrometry Imaging (SLICE‐MSI) to classify the condition of the instrument. The SIL data may be monitored separately during imaging experiments for continuous evaluation of electrospray stability. The protocol highlights areas that may be adapted for other ionization sources for widespread use.ConclusionsThe protocol described herein uses a panel of NAT and SIL compounds to offer an objective and accurate determination of QC/SST on MSI platforms.
Q2

Determination of Collisional Cross Section Using Microscale High‐Field Asymmetric Waveform ion Mobility Spectroscopy–Mass Spectrometry (FAIMS‐MS)
Krasnova K., Creaser C., Reynolds J.
ABSTRACTRationaleCollisional cross sections (CCS) are an important characteristic of gas‐phase ions that are measured using ion mobility‐mass spectrometry (IMS). Typically, CCS measurements are performed with drift‐tube IMS or travelling‐wave IMS. However. in a high‐field asymmetric waveform ion mobility (FAIMS) device, ion heating effects make CCS determination more challenging. This research explores whether CCS can be predicted with microscale FAIMS by using known CCS standards.MethodsAn Owlstone ultraFAIMS microscale FAIMS spectrometer was coupled to an Orbitrap Exactive mass spectrometer. Two different CCS standard mixtures (tetraalkylammonium halides [TAAHs] and poly‐DL‐alanine oligomers) were used to evaluate the system's potential to determine CCS. Test peptide bradykinin acetate and substance P were used to evaluate CCS determination accuracy for singly and doubly charged peptide species using external calibration with a series of poly‐DL‐alanine peptides for +1, +2 charge states.ResultsCalibrations with excellent correlation coefficients (R2 = 0.99) for both TAAHs and poly‐DL‐alanine were obtained. Good accuracy of determination was achieved for bradykinin [M + 2H]2+ with a ± 0.5% difference between experimental and published CCS at a dispersion field (DF) strength of 250 Td; the model proved less accurate for bradykinin [M + H]+ (±1.4% at 240 Td). The accuracy of determination for the [M + H]+ and [M + 2H]2+ ions of substance P was within ± 5% and ± 3% at 250 Td, respectively, while at higher DF values, accuracy decreased to approximately 5%.ConclusionsDistinct relationships were observed between CCS and transmission CF with both calibrants. Optimum accuracy was obtained at DF 240–260 Td. At lower DF, accuracy is reduced by insufficient resolution of analyte ions from solvent cluster adducts, while at higher DF values, poor transmission becomes a factor. Nevertheless, these data suggest microscale FAIMS can conduct CCS measurements with reasonable accuracy when the compound being measured has similar structural features to the CCS standards used.
Q2

Improved Protective Effects and Pharmacokinetics of Huperzine A Derivative H14 in Soman Poisoning: A Comparative Study With Huperzine A in Rats
Yang G., Cui Y., Zong X., Jin Q., Zhang Y., Li L., Liu D., Chen X., Wang C., Wei J.
ABSTRACTRationaleN‐[2‐Hydroxy‐3,5‐dimethylbenzilidene]‐Hup A (H14) is a derivative of huperzine A (Hup A) that demonstrates superior protective effects against soman (GD) compared to Hup A. This study aims to evaluate the protective efficacy of H14 pretreatment against GD in rats and to provide an analytical framework for the pharmacokinetic evaluation of H14 in experimental animals.MethodsThe study employed protective ratios (PR) as an evaluation criterion to assess the efficacy of H14 and Hup A in preventing GD in vivo. Liquid–liquid extraction techniques were utilized to extract H14 and its metabolite, Hup A, from plasma. The extracted plasma samples were then analyzed using an ultra‐high‐performance liquid chromatography–tandem mass spectrometry (UHPLC–MS/MS) method for the simultaneous quantification of H14 and Hup A.ResultsThe PR values for the 6‐ and 12‐h Hup A groups were 1.26 and 1.08, respectively. In contrast, the 6, 12, and 24‐h H14 groups demonstrated PR values of 2.81, 1.98, and 1.18, respectively, indicating extended protective capabilities compared to Hup A. All validation parameters for the UHPLC–MS/MS method, including linearity, specificity, precision, accuracy, matrix effect, and stability, met the acceptance criteria established by FDA guidelines. The pharmacokinetic analysis indicates that H14, after conversion to Hup A in vivo, significantly extends the duration of Hup A concentrations in the body, leading to more effective prevention of GD poisoning compared to Hup A alone.ConclusionsH14 demonstrates superior efficacy in preventing GD poisoning compared to Hup A. Furthermore, this analytical approach offers a reliable and efficient method for the pharmacokinetic evaluation of H14 in experimental animals.
Q2

Covalent Organic Framework Nanofilm‐Assisted Laser Desorption Ionization Mass Spectrometry for the Determination of Benzophenone Derivatives in Personal Care Products
Yan L., Zheng W., Lin Z.
ABSTRACTRationalBenzophenone derivatives, commonly used as UV filters in personal care products (PCPs), are widely prevalent and raise concerns due to their endocrine‐disrupting effects. Sensitive and efficient analytical methods are in demand for their detection. In this study, we developed a TAPB‐DMTP‐covalent organic framework (COF) nanofilm‐assisted laser desorption ionization mass spectrometry (LDI‐MS) method for the quantitative analysis of 2,4‐dihydroxybenzophenone (BP‐1) in PCPs.MethodsThe TAPB‐DMTP‐COF nanofilm was synthesized on indium tin oxide (ITO) glass and utilized as an LDI‐MS substrate. The performance of TAPB‐DMTP‐COF nanofilm‐assisted LDI‐MS for analyzing small molecules (e.g., benzophenone derivatives, phthalates, amino acids, sugars, and nucleosides) was compared to conventional organic matrices (α‐cyano‐4‐hydroxycinnamic acid [CHCA], 2,5‐dihydroxybenzoic acid [DHB], and sinapinic acid [SA]). The reproducibility, salt resistance, sensitivity, and stability of the method were further evaluated. Finally, the technique was applied to quantify BP‐1 in PCPs.ResultsThe TAPB‐DMTP‐COF nanofilm‐assisted LDI‐MS provided stronger mass spectral signals and cleaner backgrounds for small molecules compared to CHCA, DHB, and SA. The method exhibited high reproducibility (RSD = 6.10%) and stability for up to 30 days. BP‐1 in PCPs was quantified with excellent linearity (1–20 μg/mL, r = 0.9993), a low detection limit (0.3 μg/mL), and recovery rates of 94.2%–104.4%, demonstrating the potential of TAPB‐DMTP‐COF nanofilm for sensitive and reliable small‐molecule analysis.ConclusionTAPB‐DMTP‐COF nanofilm‐assisted LDI‐MS offered the advantages of rapid analysis, clean backgrounds, and reproducibility for detecting small molecules, including benzophenone derivatives. This method successfully quantified BP‐1 in PCPs, highlighting its suitability for analyzing complex samples.
Q2

Assessing Matrix and Nonmatrix, Single, and Multipoint Calibration of Trace Elements Using LA‐ICP‐MS on a Tropical Speleothem
Sekhon N., Gao A., Mallick S., Partin J., Cardenas M. ., Ibarra D.
ABSTRACTRationaleSuites of trace elements are routinely used in speleothems as proxies to understand periods of past climate change. Laser ablation techniques are regularly implemented to acquire high resolution (50‐μm) trace element concentrations in carbonate archives for paleoclimatology. There exists limited research investigating Laser Ablation‐Inductively Coupled Plasma‐Mass Spectrometry (LA‐ICP‐MS) protocols using speleothem samples. This study investigates the difference between using matrix (carbonate) and nonmatrix (silicate) matched reference materials and the utility of 1‐point versus multiple point calibration curves.MethodsFollowing an extensive review of published literature on speleothem LA‐ICP‐MS analyses, we conducted two laser ablation experimental runs 8 months apart on a 2.7‐cm section of a natural speleothem using matrix and nonmatrix matched reference materials. We used a 193‐nm wavelength Analyte G2 laser attached to a X‐Series‐2 ICP‐MS, a silicate reference material, and three carbonate reference materials. Next, we calculated concentrations using a 1‐point calibration curve, a 2‐point calibration curve, and a 3‐point calibration curve.ResultsThe analysis of matrix and nonmatrix matched reference materials demonstrates that the trends of trace elements/Ca are minimally impacted by the matrix material of the standard. We also show that 2‐ and 3‐point calibration curves bracket the range of sample concentrations compared to a 1‐point (silicate) calibration curve. The calculated cave‐air temperatures using Mg/Ca concentrations fall within error of each other regardless of the calibration curve approach applied.ConclusionsOur experiments provide a proof of concept on the conventional setup of standards during LA‐ICP‐MS speleothem analysis. We suggest the use of at minimum a 2‐point (silicate plus carbonate or carbonates) calibration curve that crucially bracket the range of sample concentrations rather than relying on a 1‐point silicate standard that does not bracket the sample concentration. Finally, our results have implications for both speleothem studies that use LA‐ICP‐MS analytical techniques and additional carbonate archives.
Q2

Exploration of Active Substances and Its Potential Mechanism of Gancao Fuzi Decoction on Inflammatory Based on Metabolomics and Network Pharmacology
Geng W., Liu S., Dong H., Arachchige B., Qi D., Wang X.
ABSTRACTGancao Fuzi decoction (GCFZT) is a traditional Chinese formula, which has been commonly used in clinical practice to treat inflammatory diseases. However, the active substance of GCFZT in the treatment of inflammation is not fully clarified. In this study, we used orthogonal experiments to design different GCFZT formulations, resulting in a total of 16 GCFZT formulations. Subsequently, UPLC‐Q‐TOF‐MS/MS was used to analyze the chemical composition of different formulations, and the anti‐inflammatory activity differences of these formulations were evaluated through an LPS‐induced RAW264.7 inflammatory cell model. Combined with machine learning algorithms such as PLS‐DA and RF, four main active substances in GCFZT were screened. Finally, network pharmacology techniques were used to investigate the potential anti‐inflammatory mechanisms of these main active substances, and the results showed that GCFZT mainly regulates the expression of core targets such as ALOX5, NFKB1, and TLR4 through main active substances such as chlorogenic acid, riboflavin, and formononetin, thereby affecting the NF kappa B signaling pathway, the Toll‐like receptor signaling pathway, and the Th17 cell differentiation. This study provides a reference for the anti‐inflammatory mechanism of GCFZT and a scientific basis for its clinical application.
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Remote Sensing
84 citations, 0.14%
|
|
PeerJ Computer Science
81 citations, 0.14%
|
|
Advances in Computational Intelligence and Robotics
80 citations, 0.14%
|
|
IEEE/ACM Transactions on Networking
79 citations, 0.14%
|
|
IEEE Transactions on Network and Service Management
76 citations, 0.13%
|
|
Journal of Physics: Conference Series
75 citations, 0.13%
|
|
Arabian Journal for Science and Engineering
74 citations, 0.13%
|
|
Studies in Computational Intelligence
73 citations, 0.13%
|
|
IEEE Transactions on Parallel and Distributed Systems
73 citations, 0.13%
|
|
ACM Computing Surveys
69 citations, 0.12%
|
|
Computers and Security
68 citations, 0.12%
|
|
Smart Innovation, Systems and Technologies
67 citations, 0.11%
|
|
Pervasive and Mobile Computing
67 citations, 0.11%
|
|
Journal of King Saud University - Computer and Information Sciences
66 citations, 0.11%
|
|
Engineering Applications of Artificial Intelligence
66 citations, 0.11%
|
|
AEJ - Alexandria Engineering Journal
65 citations, 0.11%
|
|
Journal of Cloud Computing
64 citations, 0.11%
|
|
Applied Soft Computing Journal
63 citations, 0.11%
|
|
IEEE Transactions on Signal Processing
61 citations, 0.1%
|
|
International Journal of Information Technology
61 citations, 0.1%
|
|
International Journal of Systems Assurance Engineering and Management
60 citations, 0.1%
|
|
Journal of Marine Science and Engineering
60 citations, 0.1%
|
|
International Journal of Knowledge-Based and Intelligent Engineering Systems
57 citations, 0.1%
|
|
Journal not defined
55 citations, 0.09%
|
|
Show all (70 more) | |
500
1000
1500
2000
2500
3000
|
Citing publishers
2000
4000
6000
8000
10000
12000
14000
16000
18000
20000
|
|
Institute of Electrical and Electronics Engineers (IEEE)
18537 citations, 31.79%
|
|
Springer Nature
9164 citations, 15.72%
|
|
Elsevier
5785 citations, 9.92%
|
|
Hindawi Limited
5003 citations, 8.58%
|
|
MDPI
4867 citations, 8.35%
|
|
Wiley
1793 citations, 3.07%
|
|
IGI Global
910 citations, 1.56%
|
|
Taylor & Francis
664 citations, 1.14%
|
|
Association for Computing Machinery (ACM)
573 citations, 0.98%
|
|
Institution of Engineering and Technology (IET)
526 citations, 0.9%
|
|
Walter de Gruyter
451 citations, 0.77%
|
|
SAGE
438 citations, 0.75%
|
|
IOS Press
291 citations, 0.5%
|
|
Frontiers Media S.A.
285 citations, 0.49%
|
|
IOP Publishing
227 citations, 0.39%
|
|
Emerald
220 citations, 0.38%
|
|
Springer Publishing Company
213 citations, 0.37%
|
|
AIP Publishing
166 citations, 0.28%
|
|
Tech Science Press
162 citations, 0.28%
|
|
Public Library of Science (PLoS)
121 citations, 0.21%
|
|
World Scientific
107 citations, 0.18%
|
|
EDP Sciences
87 citations, 0.15%
|
|
PeerJ
87 citations, 0.15%
|
|
Trans Tech Publications
80 citations, 0.14%
|
|
Bentham Science Publishers Ltd.
77 citations, 0.13%
|
|
76 citations, 0.13%
|
|
Oxford University Press
65 citations, 0.11%
|
|
JMIR Publications
63 citations, 0.11%
|
|
King Saud University
59 citations, 0.1%
|
|
Institute of Electronics, Information and Communications Engineers (IEICE)
55 citations, 0.09%
|
|
Cambridge University Press
50 citations, 0.09%
|
|
SPIE-Intl Soc Optical Eng
49 citations, 0.08%
|
|
Scientific Research Publishing
45 citations, 0.08%
|
|
Optica Publishing Group
44 citations, 0.08%
|
|
American Institute of Mathematical Sciences (AIMS)
44 citations, 0.08%
|
|
Science Alert
41 citations, 0.07%
|
|
Social Science Electronic Publishing
40 citations, 0.07%
|
|
Alexandria University
36 citations, 0.06%
|
|
IntechOpen
36 citations, 0.06%
|
|
Research Square Platform LLC
33 citations, 0.06%
|
|
American Chemical Society (ACS)
31 citations, 0.05%
|
|
Science in China Press
27 citations, 0.05%
|
|
Pleiades Publishing
25 citations, 0.04%
|
|
Korean Institute of Communications Information Sciences
25 citations, 0.04%
|
|
Hans Publishers
25 citations, 0.04%
|
|
23 citations, 0.04%
|
|
21 citations, 0.04%
|
|
China Science Publishing & Media
21 citations, 0.04%
|
|
Academy Publisher
19 citations, 0.03%
|
|
Arizona State University
18 citations, 0.03%
|
|
World Scientific and Engineering Academy and Society (WSEAS)
18 citations, 0.03%
|
|
Electromagnetics Academy
17 citations, 0.03%
|
|
Tsinghua University Press
16 citations, 0.03%
|
|
Cold Spring Harbor Laboratory
15 citations, 0.03%
|
|
American Society of Civil Engineers (ASCE)
15 citations, 0.03%
|
|
F1000 Research
15 citations, 0.03%
|
|
South Florida Publishing LLC
15 citations, 0.03%
|
|
Korean Institute of Electrical Engineers
14 citations, 0.02%
|
|
Begell House
12 citations, 0.02%
|
|
Acoustical Society of America (ASA)
12 citations, 0.02%
|
|
Beijing University of Posts and Telecommunications
12 citations, 0.02%
|
|
Engineering and Technology Publishing
12 citations, 0.02%
|
|
State University of Aerospace Instrumentation (SUAI)
12 citations, 0.02%
|
|
Royal Society of Chemistry (RSC)
11 citations, 0.02%
|
|
11 citations, 0.02%
|
|
Vilnius Gediminas Technical University
11 citations, 0.02%
|
|
American Institute of Aeronautics and Astronautics (AIAA)
11 citations, 0.02%
|
|
Instrument Society of America
11 citations, 0.02%
|
|
SAE International
11 citations, 0.02%
|
|
American Physical Society (APS)
10 citations, 0.02%
|
|
10 citations, 0.02%
|
|
Optical Society of India
10 citations, 0.02%
|
|
Chinese Academy of Sciences
9 citations, 0.02%
|
|
Bonch-Bruevich State University of Telecommunications
9 citations, 0.02%
|
|
Ovid Technologies (Wolters Kluwer Health)
8 citations, 0.01%
|
|
Mary Ann Liebert
8 citations, 0.01%
|
|
Institute for Operations Research and the Management Sciences (INFORMS)
8 citations, 0.01%
|
|
IWA Publishing
8 citations, 0.01%
|
|
European Alliance for Innovation n.o.
8 citations, 0.01%
|
|
Zhejiang University Press
7 citations, 0.01%
|
|
SPIIRAS
7 citations, 0.01%
|
|
Engineering, Technology & Applied Science Research
7 citations, 0.01%
|
|
6 citations, 0.01%
|
|
ifmbe proceedings
6 citations, 0.01%
|
|
Fuji Technology Press
6 citations, 0.01%
|
|
Wuhan University
6 citations, 0.01%
|
|
OAE Publishing Inc.
6 citations, 0.01%
|
|
National Institute of Telecommunications
5 citations, 0.01%
|
|
5 citations, 0.01%
|
|
Korea Information Processing Society (KIPS)
5 citations, 0.01%
|
|
Society of Petroleum Engineers
5 citations, 0.01%
|
|
Gazi University Journal of Science
5 citations, 0.01%
|
|
Ain Shams University
5 citations, 0.01%
|
|
Oriental Scientific Publishing Company
5 citations, 0.01%
|
|
SciELO
5 citations, 0.01%
|
|
ASTM International
5 citations, 0.01%
|
|
A and V Publications
5 citations, 0.01%
|
|
AMO Publisher
5 citations, 0.01%
|
|
Ediciones Universidad de Salamanca
4 citations, 0.01%
|
|
The Royal Society
4 citations, 0.01%
|
|
Show all (70 more) | |
2000
4000
6000
8000
10000
12000
14000
16000
18000
20000
|
Publishing organizations
20
40
60
80
100
120
140
160
|
|
Beijing University of Posts and Telecommunications
149 publications, 1.89%
|
|
Beijing Jiaotong University
90 publications, 1.14%
|
|
Harbin Institute of Technology
77 publications, 0.97%
|
|
Xidian University
77 publications, 0.97%
|
|
University of Electronic Science and Technology of China
75 publications, 0.95%
|
|
Southeast University
66 publications, 0.84%
|
|
Tsinghua University
62 publications, 0.78%
|
|
Nanjing University of Posts and Telecommunications
61 publications, 0.77%
|
|
University of Chinese Academy of Sciences
60 publications, 0.76%
|
|
Harbin Engineering University
60 publications, 0.76%
|
|
Guilin University of Electronic Technology
60 publications, 0.76%
|
|
Guangzhou University
59 publications, 0.75%
|
|
Nanjing University of Aeronautics and Astronautics
58 publications, 0.73%
|
|
COMSATS University Islamabad
57 publications, 0.72%
|
|
Taif University
55 publications, 0.7%
|
|
Wuhan University
55 publications, 0.7%
|
|
Dalian University of Technology
53 publications, 0.67%
|
|
National University of Defense Technology
52 publications, 0.66%
|
|
Northwestern Polytechnical University
48 publications, 0.61%
|
|
Shanghai Jiao Tong University
47 publications, 0.6%
|
|
Shandong University
46 publications, 0.58%
|
|
Beijing Institute of Technology
45 publications, 0.57%
|
|
Beihang University
44 publications, 0.56%
|
|
King Saud University
43 publications, 0.54%
|
|
University of Waterloo
41 publications, 0.52%
|
|
Huazhong University of Science and Technology
40 publications, 0.51%
|
|
Nanjing University
40 publications, 0.51%
|
|
Shenzhen University
40 publications, 0.51%
|
|
Chongqing University of Posts and Telecommunications
39 publications, 0.49%
|
|
Zhengzhou University
39 publications, 0.49%
|
|
King Abdulaziz University
38 publications, 0.48%
|
|
China University of Mining and Technology
37 publications, 0.47%
|
|
Nanjing University of Information Science and Technology
36 publications, 0.46%
|
|
Hohai University
36 publications, 0.46%
|
|
Zhejiang University
35 publications, 0.44%
|
|
University of Science and Technology Beijing
35 publications, 0.44%
|
|
Central South University
33 publications, 0.42%
|
|
National Yang Ming Chiao Tung University
33 publications, 0.42%
|
|
Hangzhou Dianzi University
32 publications, 0.41%
|
|
Addis Ababa Science and Technology University
32 publications, 0.41%
|
|
King Khalid University
31 publications, 0.39%
|
|
Nanyang Technological University
30 publications, 0.38%
|
|
University of Florida
30 publications, 0.38%
|
|
Xi'an Jiaotong University
29 publications, 0.37%
|
|
Beijing University of Technology
28 publications, 0.35%
|
|
Xiamen University
28 publications, 0.35%
|
|
University of Science and Technology of China
28 publications, 0.35%
|
|
University of British Columbia
28 publications, 0.35%
|
|
Shandong University of Science and Technology
27 publications, 0.34%
|
|
Northeastern University
27 publications, 0.34%
|
|
Georgia State University
27 publications, 0.34%
|
|
Hainan University
27 publications, 0.34%
|
|
Jiangnan University
25 publications, 0.32%
|
|
PLA Army Engineering University
25 publications, 0.32%
|
|
South China University of Technology
24 publications, 0.3%
|
|
Jilin University
24 publications, 0.3%
|
|
Chongqing University
24 publications, 0.3%
|
|
Dalian Maritime University
24 publications, 0.3%
|
|
National University of Sciences & Technology
23 publications, 0.29%
|
|
SRM Institute of Science and Technology
23 publications, 0.29%
|
|
Peking University
23 publications, 0.29%
|
|
Wuhan University of Technology
23 publications, 0.29%
|
|
Tianjin University
23 publications, 0.29%
|
|
Polytechnic University of Valencia
23 publications, 0.29%
|
|
Tongji University
22 publications, 0.28%
|
|
Nanjing University of Science and Technology
22 publications, 0.28%
|
|
Fujian University of Technology
22 publications, 0.28%
|
|
International Islamic University, Islamabad
21 publications, 0.27%
|
|
Fuzhou University
21 publications, 0.27%
|
|
National Sun Yat-sen University
21 publications, 0.27%
|
|
National Cheng Kung University
21 publications, 0.27%
|
|
Guizhou University
21 publications, 0.27%
|
|
Xi'an University of Technology
21 publications, 0.27%
|
|
Northwest University
21 publications, 0.27%
|
|
Kyungpook National University
21 publications, 0.27%
|
|
Prince Sattam bin Abdulaziz University
20 publications, 0.25%
|
|
University of Malaya
20 publications, 0.25%
|
|
Henan University of Science and Technology
20 publications, 0.25%
|
|
Sichuan University
19 publications, 0.24%
|
|
Qatar University
19 publications, 0.24%
|
|
Shanghai University
19 publications, 0.24%
|
|
Qufu Normal University
19 publications, 0.24%
|
|
Korea University
19 publications, 0.24%
|
|
Sejong University
19 publications, 0.24%
|
|
Henan Polytechnic University
19 publications, 0.24%
|
|
Zhejiang University of Technology
18 publications, 0.23%
|
|
North China Electric Power University
18 publications, 0.23%
|
|
South China Normal University
18 publications, 0.23%
|
|
Beijing Information Science and Technology University
18 publications, 0.23%
|
|
Yangzhou University
18 publications, 0.23%
|
|
Xi'an University of Posts & Telecommunications
18 publications, 0.23%
|
|
Electronics and Telecommunications Research Institute
18 publications, 0.23%
|
|
Vellore Institute of Technology University
17 publications, 0.22%
|
|
Saveetha Institute of Medical and Technical Sciences
17 publications, 0.22%
|
|
Chongqing Jiaotong University
17 publications, 0.22%
|
|
Macau University of Science and Technology
17 publications, 0.22%
|
|
University of Manitoba
17 publications, 0.22%
|
|
Carleton University
17 publications, 0.22%
|
|
University of Ottawa
17 publications, 0.22%
|
|
King Abdullah University of Science and Technology
16 publications, 0.2%
|
|
Show all (70 more) | |
20
40
60
80
100
120
140
160
|
Publishing organizations in 5 years
10
20
30
40
50
60
70
80
|
|
Beijing University of Posts and Telecommunications
79 publications, 1.56%
|
|
Taif University
55 publications, 1.09%
|
|
Guilin University of Electronic Technology
53 publications, 1.05%
|
|
Harbin Engineering University
48 publications, 0.95%
|
|
Nanjing University of Aeronautics and Astronautics
47 publications, 0.93%
|
|
Beijing Jiaotong University
45 publications, 0.89%
|
|
University of Electronic Science and Technology of China
44 publications, 0.87%
|
|
Wuhan University
44 publications, 0.87%
|
|
University of Chinese Academy of Sciences
43 publications, 0.85%
|
|
Nanjing University of Posts and Telecommunications
40 publications, 0.79%
|
|
National University of Defense Technology
40 publications, 0.79%
|
|
Guangzhou University
39 publications, 0.77%
|
|
Harbin Institute of Technology
38 publications, 0.75%
|
|
Dalian University of Technology
36 publications, 0.71%
|
|
COMSATS University Islamabad
35 publications, 0.69%
|
|
Northwestern Polytechnical University
34 publications, 0.67%
|
|
China University of Mining and Technology
32 publications, 0.63%
|
|
Xidian University
32 publications, 0.63%
|
|
Zhengzhou University
32 publications, 0.63%
|
|
Addis Ababa Science and Technology University
32 publications, 0.63%
|
|
King Khalid University
31 publications, 0.61%
|
|
Shandong University
30 publications, 0.59%
|
|
King Abdulaziz University
28 publications, 0.55%
|
|
Nanjing University
28 publications, 0.55%
|
|
Hohai University
28 publications, 0.55%
|
|
Beijing Institute of Technology
27 publications, 0.53%
|
|
Chongqing University of Posts and Telecommunications
27 publications, 0.53%
|
|
Beijing University of Technology
26 publications, 0.51%
|
|
Shandong University of Science and Technology
26 publications, 0.51%
|
|
Beihang University
25 publications, 0.49%
|
|
Hangzhou Dianzi University
25 publications, 0.49%
|
|
University of Science and Technology Beijing
24 publications, 0.48%
|
|
Shenzhen University
24 publications, 0.48%
|
|
Nanjing University of Information Science and Technology
23 publications, 0.46%
|
|
Hainan University
23 publications, 0.46%
|
|
King Saud University
22 publications, 0.44%
|
|
SRM Institute of Science and Technology
22 publications, 0.44%
|
|
Shanghai Jiao Tong University
22 publications, 0.44%
|
|
Southeast University
22 publications, 0.44%
|
|
Northeastern University
22 publications, 0.44%
|
|
Jiangnan University
22 publications, 0.44%
|
|
Tsinghua University
21 publications, 0.42%
|
|
Zhejiang University
21 publications, 0.42%
|
|
Xiamen University
21 publications, 0.42%
|
|
Xi'an University of Technology
20 publications, 0.4%
|
|
Prince Sattam bin Abdulaziz University
19 publications, 0.38%
|
|
Jilin University
19 publications, 0.38%
|
|
Wuhan University of Technology
19 publications, 0.38%
|
|
Fujian University of Technology
19 publications, 0.38%
|
|
Northwest University
19 publications, 0.38%
|
|
Dalian Maritime University
18 publications, 0.36%
|
|
Guizhou University
18 publications, 0.36%
|
|
National University of Sciences & Technology
17 publications, 0.34%
|
|
Saveetha Institute of Medical and Technical Sciences
17 publications, 0.34%
|
|
South China University of Technology
17 publications, 0.34%
|
|
Beijing Information Science and Technology University
17 publications, 0.34%
|
|
University of Lahore
16 publications, 0.32%
|
|
Xi'an Jiaotong University
16 publications, 0.32%
|
|
Central South University
16 publications, 0.32%
|
|
Chongqing University
16 publications, 0.32%
|
|
Communication University of China
16 publications, 0.32%
|
|
Tianjin University
16 publications, 0.32%
|
|
Henan Polytechnic University
16 publications, 0.32%
|
|
Xijing University
16 publications, 0.32%
|
|
Tamale Technical University
16 publications, 0.32%
|
|
Al Jouf University
15 publications, 0.3%
|
|
Sichuan University
15 publications, 0.3%
|
|
University of Malaya
15 publications, 0.3%
|
|
Chongqing Jiaotong University
15 publications, 0.3%
|
|
Shanghai University
15 publications, 0.3%
|
|
Chitkara University
15 publications, 0.3%
|
|
Georgia State University
15 publications, 0.3%
|
|
Macau University of Science and Technology
15 publications, 0.3%
|
|
PLA Army Engineering University
15 publications, 0.3%
|
|
Qassim University
14 publications, 0.28%
|
|
Vellore Institute of Technology University
14 publications, 0.28%
|
|
Graphic Era University
14 publications, 0.28%
|
|
Fuzhou University
14 publications, 0.28%
|
|
Fujian Normal University
14 publications, 0.28%
|
|
Yangzhou University
14 publications, 0.28%
|
|
Chang'an University
14 publications, 0.28%
|
|
Nanchang Institute of Technology
14 publications, 0.28%
|
|
Yulin Normal University
14 publications, 0.28%
|
|
Lovely Professional University
13 publications, 0.26%
|
|
Koneru Lakshmaiah Education Foundation
13 publications, 0.26%
|
|
Zhejiang University of Technology
13 publications, 0.26%
|
|
Tongji University
13 publications, 0.26%
|
|
Northeast Normal University
13 publications, 0.26%
|
|
Heilongjiang Bayi Agricultural University
13 publications, 0.26%
|
|
Minjiang University
13 publications, 0.26%
|
|
City University of Macau
13 publications, 0.26%
|
|
Arba Minch University
13 publications, 0.26%
|
|
Huazhong University of Science and Technology
12 publications, 0.24%
|
|
Nanjing University of Science and Technology
12 publications, 0.24%
|
|
Hubei University of Technology
12 publications, 0.24%
|
|
Soochow University (Suzhou)
12 publications, 0.24%
|
|
Southwestern University of Finance and Economics
12 publications, 0.24%
|
|
Zhongyuan University of Technology
12 publications, 0.24%
|
|
Xi'an University of Posts & Telecommunications
12 publications, 0.24%
|
|
Qufu Normal University
12 publications, 0.24%
|
|
Show all (70 more) | |
10
20
30
40
50
60
70
80
|
Publishing countries
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
|
|
China
|
China, 4586, 58.06%
China
4586 publications, 58.06%
|
USA
|
USA, 625, 7.91%
USA
625 publications, 7.91%
|
Republic of Korea
|
Republic of Korea, 346, 4.38%
Republic of Korea
346 publications, 4.38%
|
India
|
India, 301, 3.81%
India
301 publications, 3.81%
|
Saudi Arabia
|
Saudi Arabia, 294, 3.72%
Saudi Arabia
294 publications, 3.72%
|
Canada
|
Canada, 270, 3.42%
Canada
270 publications, 3.42%
|
Pakistan
|
Pakistan, 243, 3.08%
Pakistan
243 publications, 3.08%
|
United Kingdom
|
United Kingdom, 195, 2.47%
United Kingdom
195 publications, 2.47%
|
Spain
|
Spain, 125, 1.58%
Spain
125 publications, 1.58%
|
Japan
|
Japan, 112, 1.42%
Japan
112 publications, 1.42%
|
Australia
|
Australia, 111, 1.41%
Australia
111 publications, 1.41%
|
Malaysia
|
Malaysia, 109, 1.38%
Malaysia
109 publications, 1.38%
|
Ethiopia
|
Ethiopia, 109, 1.38%
Ethiopia
109 publications, 1.38%
|
Italy
|
Italy, 98, 1.24%
Italy
98 publications, 1.24%
|
France
|
France, 73, 0.92%
France
73 publications, 0.92%
|
Vietnam
|
Vietnam, 73, 0.92%
Vietnam
73 publications, 0.92%
|
Turkey
|
Turkey, 69, 0.87%
Turkey
69 publications, 0.87%
|
Iran
|
Iran, 68, 0.86%
Iran
68 publications, 0.86%
|
Germany
|
Germany, 56, 0.71%
Germany
56 publications, 0.71%
|
Brazil
|
Brazil, 54, 0.68%
Brazil
54 publications, 0.68%
|
Egypt
|
Egypt, 52, 0.66%
Egypt
52 publications, 0.66%
|
Sweden
|
Sweden, 49, 0.62%
Sweden
49 publications, 0.62%
|
Greece
|
Greece, 47, 0.6%
Greece
47 publications, 0.6%
|
Singapore
|
Singapore, 46, 0.58%
Singapore
46 publications, 0.58%
|
Ghana
|
Ghana, 43, 0.54%
Ghana
43 publications, 0.54%
|
UAE
|
UAE, 40, 0.51%
UAE
40 publications, 0.51%
|
Norway
|
Norway, 36, 0.46%
Norway
36 publications, 0.46%
|
Qatar
|
Qatar, 35, 0.44%
Qatar
35 publications, 0.44%
|
Iraq
|
Iraq, 32, 0.41%
Iraq
32 publications, 0.41%
|
Finland
|
Finland, 32, 0.41%
Finland
32 publications, 0.41%
|
Tunisia
|
Tunisia, 30, 0.38%
Tunisia
30 publications, 0.38%
|
Bangladesh
|
Bangladesh, 28, 0.35%
Bangladesh
28 publications, 0.35%
|
Portugal
|
Portugal, 27, 0.34%
Portugal
27 publications, 0.34%
|
Thailand
|
Thailand, 26, 0.33%
Thailand
26 publications, 0.33%
|
Morocco
|
Morocco, 25, 0.32%
Morocco
25 publications, 0.32%
|
Russia
|
Russia, 23, 0.29%
Russia
23 publications, 0.29%
|
Jordan
|
Jordan, 23, 0.29%
Jordan
23 publications, 0.29%
|
Ireland
|
Ireland, 23, 0.29%
Ireland
23 publications, 0.29%
|
Mexico
|
Mexico, 20, 0.25%
Mexico
20 publications, 0.25%
|
South Africa
|
South Africa, 20, 0.25%
South Africa
20 publications, 0.25%
|
Philippines
|
Philippines, 19, 0.24%
Philippines
19 publications, 0.24%
|
Poland
|
Poland, 17, 0.22%
Poland
17 publications, 0.22%
|
Afghanistan
|
Afghanistan, 16, 0.2%
Afghanistan
16 publications, 0.2%
|
Belgium
|
Belgium, 15, 0.19%
Belgium
15 publications, 0.19%
|
Yemen
|
Yemen, 14, 0.18%
Yemen
14 publications, 0.18%
|
Croatia
|
Croatia, 14, 0.18%
Croatia
14 publications, 0.18%
|
Lebanon
|
Lebanon, 12, 0.15%
Lebanon
12 publications, 0.15%
|
Oman
|
Oman, 12, 0.15%
Oman
12 publications, 0.15%
|
Czech Republic
|
Czech Republic, 12, 0.15%
Czech Republic
12 publications, 0.15%
|
Algeria
|
Algeria, 11, 0.14%
Algeria
11 publications, 0.14%
|
Kuwait
|
Kuwait, 10, 0.13%
Kuwait
10 publications, 0.13%
|
Burundi
|
Burundi, 9, 0.11%
Burundi
9 publications, 0.11%
|
Denmark
|
Denmark, 9, 0.11%
Denmark
9 publications, 0.11%
|
Slovakia
|
Slovakia, 9, 0.11%
Slovakia
9 publications, 0.11%
|
Israel
|
Israel, 8, 0.1%
Israel
8 publications, 0.1%
|
New Zealand
|
New Zealand, 8, 0.1%
New Zealand
8 publications, 0.1%
|
Serbia
|
Serbia, 8, 0.1%
Serbia
8 publications, 0.1%
|
Sudan
|
Sudan, 8, 0.1%
Sudan
8 publications, 0.1%
|
Luxembourg
|
Luxembourg, 7, 0.09%
Luxembourg
7 publications, 0.09%
|
Nepal
|
Nepal, 7, 0.09%
Nepal
7 publications, 0.09%
|
Nigeria
|
Nigeria, 7, 0.09%
Nigeria
7 publications, 0.09%
|
Ukraine
|
Ukraine, 6, 0.08%
Ukraine
6 publications, 0.08%
|
Hungary
|
Hungary, 6, 0.08%
Hungary
6 publications, 0.08%
|
Kenya
|
Kenya, 6, 0.08%
Kenya
6 publications, 0.08%
|
Kyrgyzstan
|
Kyrgyzstan, 6, 0.08%
Kyrgyzstan
6 publications, 0.08%
|
Netherlands
|
Netherlands, 6, 0.08%
Netherlands
6 publications, 0.08%
|
Switzerland
|
Switzerland, 6, 0.08%
Switzerland
6 publications, 0.08%
|
Bahrain
|
Bahrain, 5, 0.06%
Bahrain
5 publications, 0.06%
|
Rwanda
|
Rwanda, 5, 0.06%
Rwanda
5 publications, 0.06%
|
Romania
|
Romania, 5, 0.06%
Romania
5 publications, 0.06%
|
Chile
|
Chile, 5, 0.06%
Chile
5 publications, 0.06%
|
Ecuador
|
Ecuador, 5, 0.06%
Ecuador
5 publications, 0.06%
|
Zimbabwe
|
Zimbabwe, 4, 0.05%
Zimbabwe
4 publications, 0.05%
|
Cambodia
|
Cambodia, 4, 0.05%
Cambodia
4 publications, 0.05%
|
Cyprus
|
Cyprus, 4, 0.05%
Cyprus
4 publications, 0.05%
|
Colombia
|
Colombia, 4, 0.05%
Colombia
4 publications, 0.05%
|
Peru
|
Peru, 4, 0.05%
Peru
4 publications, 0.05%
|
Slovenia
|
Slovenia, 4, 0.05%
Slovenia
4 publications, 0.05%
|
Angola
|
Angola, 3, 0.04%
Angola
3 publications, 0.04%
|
Bosnia and Herzegovina
|
Bosnia and Herzegovina, 3, 0.04%
Bosnia and Herzegovina
3 publications, 0.04%
|
Brunei
|
Brunei, 3, 0.04%
Brunei
3 publications, 0.04%
|
Indonesia
|
Indonesia, 3, 0.04%
Indonesia
3 publications, 0.04%
|
Cuba
|
Cuba, 3, 0.04%
Cuba
3 publications, 0.04%
|
Myanmar
|
Myanmar, 3, 0.04%
Myanmar
3 publications, 0.04%
|
Senegal
|
Senegal, 3, 0.04%
Senegal
3 publications, 0.04%
|
Sri Lanka
|
Sri Lanka, 3, 0.04%
Sri Lanka
3 publications, 0.04%
|
Kazakhstan
|
Kazakhstan, 2, 0.03%
Kazakhstan
2 publications, 0.03%
|
Austria
|
Austria, 2, 0.03%
Austria
2 publications, 0.03%
|
Bhutan
|
Bhutan, 2, 0.03%
Bhutan
2 publications, 0.03%
|
Gabon
|
Gabon, 2, 0.03%
Gabon
2 publications, 0.03%
|
Guinea
|
Guinea, 2, 0.03%
Guinea
2 publications, 0.03%
|
Lithuania
|
Lithuania, 2, 0.03%
Lithuania
2 publications, 0.03%
|
Palestine
|
Palestine, 2, 0.03%
Palestine
2 publications, 0.03%
|
Papua New Guinea
|
Papua New Guinea, 2, 0.03%
Papua New Guinea
2 publications, 0.03%
|
North Macedonia
|
North Macedonia, 2, 0.03%
North Macedonia
2 publications, 0.03%
|
Tanzania
|
Tanzania, 2, 0.03%
Tanzania
2 publications, 0.03%
|
Uzbekistan
|
Uzbekistan, 2, 0.03%
Uzbekistan
2 publications, 0.03%
|
Eswatini
|
Eswatini, 2, 0.03%
Eswatini
2 publications, 0.03%
|
Kosovo
|
Kosovo, 2, 0.03%
Kosovo
2 publications, 0.03%
|
Estonia
|
Estonia, 1, 0.01%
Estonia
1 publication, 0.01%
|
Show all (70 more) | |
500
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3000
3500
4000
4500
5000
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Publishing countries in 5 years
500
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1500
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2500
3000
3500
4000
|
|
China
|
China, 3572, 70.7%
China
3572 publications, 70.7%
|
India
|
India, 262, 5.19%
India
262 publications, 5.19%
|
Saudi Arabia
|
Saudi Arabia, 217, 4.3%
Saudi Arabia
217 publications, 4.3%
|
Pakistan
|
Pakistan, 167, 3.31%
Pakistan
167 publications, 3.31%
|
Republic of Korea
|
Republic of Korea, 135, 2.67%
Republic of Korea
135 publications, 2.67%
|
USA
|
USA, 122, 2.41%
USA
122 publications, 2.41%
|
Ethiopia
|
Ethiopia, 109, 2.16%
Ethiopia
109 publications, 2.16%
|
United Kingdom
|
United Kingdom, 95, 1.88%
United Kingdom
95 publications, 1.88%
|
Malaysia
|
Malaysia, 83, 1.64%
Malaysia
83 publications, 1.64%
|
Vietnam
|
Vietnam, 52, 1.03%
Vietnam
52 publications, 1.03%
|
Iran
|
Iran, 49, 0.97%
Iran
49 publications, 0.97%
|
Australia
|
Australia, 44, 0.87%
Australia
44 publications, 0.87%
|
Ghana
|
Ghana, 41, 0.81%
Ghana
41 publications, 0.81%
|
Egypt
|
Egypt, 34, 0.67%
Egypt
34 publications, 0.67%
|
Canada
|
Canada, 33, 0.65%
Canada
33 publications, 0.65%
|
Japan
|
Japan, 33, 0.65%
Japan
33 publications, 0.65%
|
Iraq
|
Iraq, 28, 0.55%
Iraq
28 publications, 0.55%
|
Spain
|
Spain, 24, 0.48%
Spain
24 publications, 0.48%
|
Bangladesh
|
Bangladesh, 23, 0.46%
Bangladesh
23 publications, 0.46%
|
Turkey
|
Turkey, 22, 0.44%
Turkey
22 publications, 0.44%
|
UAE
|
UAE, 20, 0.4%
UAE
20 publications, 0.4%
|
Thailand
|
Thailand, 19, 0.38%
Thailand
19 publications, 0.38%
|
Philippines
|
Philippines, 19, 0.38%
Philippines
19 publications, 0.38%
|
Norway
|
Norway, 17, 0.34%
Norway
17 publications, 0.34%
|
Tunisia
|
Tunisia, 17, 0.34%
Tunisia
17 publications, 0.34%
|
Afghanistan
|
Afghanistan, 16, 0.32%
Afghanistan
16 publications, 0.32%
|
Jordan
|
Jordan, 15, 0.3%
Jordan
15 publications, 0.3%
|
Morocco
|
Morocco, 14, 0.28%
Morocco
14 publications, 0.28%
|
Brazil
|
Brazil, 12, 0.24%
Brazil
12 publications, 0.24%
|
Yemen
|
Yemen, 12, 0.24%
Yemen
12 publications, 0.24%
|
South Africa
|
South Africa, 12, 0.24%
South Africa
12 publications, 0.24%
|
Russia
|
Russia, 11, 0.22%
Russia
11 publications, 0.22%
|
Qatar
|
Qatar, 11, 0.22%
Qatar
11 publications, 0.22%
|
Singapore
|
Singapore, 11, 0.22%
Singapore
11 publications, 0.22%
|
France
|
France, 9, 0.18%
France
9 publications, 0.18%
|
Italy
|
Italy, 9, 0.18%
Italy
9 publications, 0.18%
|
Oman
|
Oman, 9, 0.18%
Oman
9 publications, 0.18%
|
Slovakia
|
Slovakia, 9, 0.18%
Slovakia
9 publications, 0.18%
|
Burundi
|
Burundi, 8, 0.16%
Burundi
8 publications, 0.16%
|
Sudan
|
Sudan, 8, 0.16%
Sudan
8 publications, 0.16%
|
Sweden
|
Sweden, 8, 0.16%
Sweden
8 publications, 0.16%
|
Nepal
|
Nepal, 7, 0.14%
Nepal
7 publications, 0.14%
|
Nigeria
|
Nigeria, 7, 0.14%
Nigeria
7 publications, 0.14%
|
Germany
|
Germany, 6, 0.12%
Germany
6 publications, 0.12%
|
Ukraine
|
Ukraine, 6, 0.12%
Ukraine
6 publications, 0.12%
|
Belgium
|
Belgium, 6, 0.12%
Belgium
6 publications, 0.12%
|
Greece
|
Greece, 6, 0.12%
Greece
6 publications, 0.12%
|
Kenya
|
Kenya, 6, 0.12%
Kenya
6 publications, 0.12%
|
Kyrgyzstan
|
Kyrgyzstan, 6, 0.12%
Kyrgyzstan
6 publications, 0.12%
|
Portugal
|
Portugal, 5, 0.1%
Portugal
5 publications, 0.1%
|
Ireland
|
Ireland, 5, 0.1%
Ireland
5 publications, 0.1%
|
Luxembourg
|
Luxembourg, 5, 0.1%
Luxembourg
5 publications, 0.1%
|
Mexico
|
Mexico, 5, 0.1%
Mexico
5 publications, 0.1%
|
Finland
|
Finland, 5, 0.1%
Finland
5 publications, 0.1%
|
Algeria
|
Algeria, 4, 0.08%
Algeria
4 publications, 0.08%
|
Bahrain
|
Bahrain, 4, 0.08%
Bahrain
4 publications, 0.08%
|
Zimbabwe
|
Zimbabwe, 4, 0.08%
Zimbabwe
4 publications, 0.08%
|
Kuwait
|
Kuwait, 4, 0.08%
Kuwait
4 publications, 0.08%
|
Peru
|
Peru, 4, 0.08%
Peru
4 publications, 0.08%
|
Rwanda
|
Rwanda, 4, 0.08%
Rwanda
4 publications, 0.08%
|
Angola
|
Angola, 3, 0.06%
Angola
3 publications, 0.06%
|
Brunei
|
Brunei, 3, 0.06%
Brunei
3 publications, 0.06%
|
Myanmar
|
Myanmar, 3, 0.06%
Myanmar
3 publications, 0.06%
|
Serbia
|
Serbia, 3, 0.06%
Serbia
3 publications, 0.06%
|
Sri Lanka
|
Sri Lanka, 3, 0.06%
Sri Lanka
3 publications, 0.06%
|
Kazakhstan
|
Kazakhstan, 2, 0.04%
Kazakhstan
2 publications, 0.04%
|
Bhutan
|
Bhutan, 2, 0.04%
Bhutan
2 publications, 0.04%
|
Gabon
|
Gabon, 2, 0.04%
Gabon
2 publications, 0.04%
|
Guinea
|
Guinea, 2, 0.04%
Guinea
2 publications, 0.04%
|
Denmark
|
Denmark, 2, 0.04%
Denmark
2 publications, 0.04%
|
Indonesia
|
Indonesia, 2, 0.04%
Indonesia
2 publications, 0.04%
|
Cambodia
|
Cambodia, 2, 0.04%
Cambodia
2 publications, 0.04%
|
Lithuania
|
Lithuania, 2, 0.04%
Lithuania
2 publications, 0.04%
|
New Zealand
|
New Zealand, 2, 0.04%
New Zealand
2 publications, 0.04%
|
Papua New Guinea
|
Papua New Guinea, 2, 0.04%
Papua New Guinea
2 publications, 0.04%
|
Poland
|
Poland, 2, 0.04%
Poland
2 publications, 0.04%
|
Senegal
|
Senegal, 2, 0.04%
Senegal
2 publications, 0.04%
|
Tanzania
|
Tanzania, 2, 0.04%
Tanzania
2 publications, 0.04%
|
Uzbekistan
|
Uzbekistan, 2, 0.04%
Uzbekistan
2 publications, 0.04%
|
Croatia
|
Croatia, 2, 0.04%
Croatia
2 publications, 0.04%
|
Czech Republic
|
Czech Republic, 2, 0.04%
Czech Republic
2 publications, 0.04%
|
Eswatini
|
Eswatini, 2, 0.04%
Eswatini
2 publications, 0.04%
|
Argentina
|
Argentina, 1, 0.02%
Argentina
1 publication, 0.02%
|
Bosnia and Herzegovina
|
Bosnia and Herzegovina, 1, 0.02%
Bosnia and Herzegovina
1 publication, 0.02%
|
Botswana
|
Botswana, 1, 0.02%
Botswana
1 publication, 0.02%
|
Hungary
|
Hungary, 1, 0.02%
Hungary
1 publication, 0.02%
|
Israel
|
Israel, 1, 0.02%
Israel
1 publication, 0.02%
|
Cuba
|
Cuba, 1, 0.02%
Cuba
1 publication, 0.02%
|
Liberia
|
Liberia, 1, 0.02%
Liberia
1 publication, 0.02%
|
Maldives
|
Maldives, 1, 0.02%
Maldives
1 publication, 0.02%
|
Palestine
|
Palestine, 1, 0.02%
Palestine
1 publication, 0.02%
|
Syria
|
Syria, 1, 0.02%
Syria
1 publication, 0.02%
|
Uganda
|
Uganda, 1, 0.02%
Uganda
1 publication, 0.02%
|
Chile
|
Chile, 1, 0.02%
Chile
1 publication, 0.02%
|
Switzerland
|
Switzerland, 1, 0.02%
Switzerland
1 publication, 0.02%
|
Ecuador
|
Ecuador, 1, 0.02%
Ecuador
1 publication, 0.02%
|
Kosovo
|
Kosovo, 1, 0.02%
Kosovo
1 publication, 0.02%
|
Show all (67 more) | |
500
1000
1500
2000
2500
3000
3500
4000
|
3 profile journal articles
Koucheryavy A
DSc in Engineering, Professor

Bonch-Bruevich Saint-Petersburg State University of Telecommunications
162 publications,
2 113 citations
h-index: 23
3 profile journal articles
Paramonov Alexander

Bonch-Bruevich Saint-Petersburg State University of Telecommunications
74 publications,
549 citations
h-index: 14
2 profile journal articles
Shafik Wasswa
🥼 🤝
PhD in Engineering, Full member of the Indian National Science Academy

Yazd University
119 publications,
748 citations
h-index: 17
Research interests
Agriculture 4.0
Artificial intelligence (AI)
Computer vision
1 profile journal article
Khan Saifullah
🤝
Virtual University of Pakistan
1 publication,
13 citations
h-index: 1
1 profile journal article
Bedogni Luca
🥼
University of Modena and Reggio Emilia
108 publications,
1 164 citations
h-index: 18
1 profile journal article
Palanichamy Naveen
🥼 🤝
PhD in Engineering, Associate Professor
60 publications,
122 citations
h-index: 6
Research interests
Computer vision
Machine learning
1 profile journal article
Shehadeh Hisham
31 publications,
509 citations
h-index: 12
1 profile journal article
Tata Chafika
9 publications,
45 citations
h-index: 4
1 profile journal article
Sharifi Abbas
31 publications,
1 165 citations
h-index: 18