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International Journal of Extreme Manufacturing
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SCImago
Q1
WOS
Q1
Impact factor
16.1
SJR
2.654
CiteScore
17.7
Categories
Industrial and Manufacturing Engineering
Areas
Engineering
Years of issue
2019-2025
journal names
International Journal of Extreme Manufacturing
INT J EXTREME MANUF
Top-3 citing journals

International Journal of Extreme Manufacturing
(929 citations)

International Journal of Advanced Manufacturing Technology
(271 citations)

Journal of Manufacturing Processes
(227 citations)
Top-3 organizations

Huazhong University of Science and Technology
(25 publications)

Dalian University of Technology
(20 publications)

Harbin Institute of Technology
(20 publications)

Huazhong University of Science and Technology
(23 publications)

Harbin Institute of Technology
(17 publications)

Xi'an Jiaotong University
(15 publications)
Top-3 countries
Most cited in 5 years
Found
Publications found: 1030
Q4
Treatment of Simulated Dumpsite Leachate Using Fly Ash in the Constructed Wetland
Anjaneyulu Bendi, Kaushik A., Chetal A., Singh S.
Fly ash is the primary residue produced in huge amounts by coal combustion in thermal power plants, which needs to be utilized appropriately. In this connection, an experimental study was conducted with fly ash alone and in combination with soil for the treatment of simulated dumpsite leachate in constructed wetland (CW) (vertical flow) systems containing Canna + Typha plants. The study revealed that the fly ash + soil mixture as a CW substrate showed better removal efficiency of chemical oxygen demand (COD), phosphate ( $${\text{PO}}_{4}^{{3 - }}$$ ), total nitrogen (TN), and chloride (Cl–) by 97.3, 99.4, 94.5, and 89.6%, respectively, in comparison to the fly ash alone which was shown to yield the corresponding values of 88.5, 94.1, 84, and 73.2% of the efficiency in the removal of these pollutants from simulated dumpsite leachate.
Q4
Analysis of Natural Water Quality in the Dniester River Basin for Economic Utilization
Chobotar V.V., Kopilevich V.A., Kravchenko O.O.
Small rivers and other surface and groundwater sources form the basis for the functioning of river basin systems, shaping streamflow, providing water supply for rural areas, and supporting biodiversity. Local surface and groundwater sources are extremely sensitive to anthropogenic impacts and climate change. Changes in the quality and quantity of water in these sources are a primary factor influencing their use for various purposes, objects, methods, and technical conditions. Therefore, the research aimed to assess the quality of natural waters in the southern part of the Mohyliv-Podilskyi district, within the basin of the small river Kotlubayevka (a right tributary of the Dniester River). The primary research methods were analytical and statistical. The analytical method was used to determine the chemical composition of water samples according to standardized procedures. The statistical method was used to find out the reliability of measurement results and to provide a generalized assessment of water quality. Experimental results were processed for water samples based on ecological and sanitary criteria from eight potential sources of economic use located along the slopes of the Dniester and Kotlubayevka river basins, ranging from elevations of 215–206 to 78–55 m a.s.l. According to the ecological classification of surface water quality, the studied sources are classified as fresh oligotrophic (class I), and based on ion composition criteria, they are categorized as bicarbonate waters of type I ( $${\text{HCO}}_{3}^{ - }$$ > Ca2+ + Mg2+). The study identified a trend of water source contamination in the research area concerning copper, iron (Fetotal), and saprophytic bacteria Escherichia coli. A generalized ecological assessment of water was calculated using block indices for salinity composition, ecological-sanitary, and specific toxic indicators, which ranged from 2.33 to 3.00 along the slope above the river currents. The results indicate that the quality of the studied water sources ranges from “very good,” “clean,” to “good,” “fairly clean.” However, based on the block index for specific toxic indicators, the water quality tends to approach “fairly good” or “slightly polluted.” Among the water contaminants, elevated levels of Fetotal, Cu2+, and E. coli primarily contribute to the deterioration of water quality and safety. Iron and copper contamination should be regarded as a natural factor, while microbiological contamination by E. coli should be considered a result of anthropogenic impact. The obtained research results impose limitations on the economic use of certain water sources, particularly in agricultural production.
Q4
Grafted Amberlite 200C Resin for Enhanced Salicylic Acid Adsorption
Fairouz Saad Saoud, Berbar Y., Amara M.
Removing relatively concentrated salicylic acid (SA) from pharmaceutical aqueous waste was performed using unmodified and modified commercial cationic exchange resin (Amberlite 200C). The modification of the resin involved grafting functional molecules onto the aromatic ring through classical organic reactions or by irreversible adsorption into the resin’s structure. The nitro group ( $${\text{NO}}_{2}^{ + }$$ ) was synthesized by combining nitric and sulfuric acids and then attached to the resin matrix through nitration. Meanwhile, 2,4-dinitrophenyl hydrazine (DNPH), tributyl phosphate (TBP), and ammonium ( $${\text{NH}}_{4}^{ + }$$ ) were irreversibly adsorbed onto the resin matrix via immersion. Consequently, the unmodified resin achieved a 21% elimination of the initial SA, whereas modified resins significantly increased the elimination yield. Specifically, $${\text{NH}}_{4}^{ + }$$ and DNPH-modified resins achieved SA elimination rates of 51.94 and 41.5%, respectively. However, the use of TBP and $${\text{NO}}_{2}^{ + }$$ modified resins resulted in negligible SA removal. The optimal conditions for operation were determined to be: pH 5.5, temperature 21°C, and a contact time of 20 min.
Q4
Photometric Analysis for Trichlorophenoxyacetic Acid in Water and Bottom Sediments with the Use of Extraction
Kormosh Z.O., Matskiv O.O., Horbatiuk N.M., Bokhan Y.V., Yurchenko O.M., Shevchuk M.V.
2,4,5-Trichlorophenoxyacetic acid was shown to form an ion associate (IA) with astrafloxin FF (AF), a polymethine dye. Based on mathematical modeling, the energy efficiency of the formation of an ion associate was substantiated. The molecular modeling of 2,4,5-T– + AF+ systems and related calculations were carried out by the HyperChem 8.0 software for different initial mutual arrangements of counterions (“single point” procedure). The geometric optimization of ions was performed by the molecular mechanics method MM+. The formed ion associates were readily extractable by different aromatic hydrocarbons. The maximum IA extraction from the aqueous phase was attained at pH of 4.5–12.0. The effect of the dye concentration on the absorbance of the toluene extracts of 2,4,5-T– + AF+ ion associates was studied. The IA extraction was maximal at a dye concentration of (1.5–3.0) × 10–4 M. Extraction equilibrium was attained for 50–60 s. The stoichiometry of 2,4,5-T– + AF+ ion associates was established by the spectrophotometric isomolar series and equilibrium shift methods; the ratio of components was 1 : 1. The scheme of the formation and extraction of ion associates was proposed. The conditional molar extinction coefficient of the ion associates was 1.2 × 105. The calibration extract absorbance–2,4,5-T concentration curve was described by a linear equation А = 0.012 + 0.062c within a 2,4,5-T concentration range of 1.50–58.07 µg/cm3. The 2,4,5-T detection limit calculated from the 3s criterion (n = 5, Р = 0.95) was 0.8 µg/cm3. The intralaboratory discrepancy of the calibration curve for the determination of 2,4,5-trichlorophenoxyacetic acid was estimated by using the Cochrane test G. The calculated value of this test (n = 5, P = 0.95) was lower than the tabular value, i.e., Gcalcd = 0.25 < Gtab = 0.64 to evidence variance homogeneity. A method of photometric extraction analysis for 2,4,5-trichlorophenoxyacetic acid in water and bottom sediments was developed.
Q4
Insight on an Eco-Friendly Flocculation Using Cactus Extracts: Synthetic Dye and Heavy Metals Removal
Bouthaina Othmani, Moncef Khadhraoui
Over these last years, there is no doubt that the conventional chemical flocculants commonly used for wastewater treatment have been a source of serious human health threats and environmental damage. Consequently, safe and eco-friendly substitutes are worth looking for and assessing. Within this line, flocculants derived from cactus namely, cladodes juice (CJ), powders of lyophilized (CLP) and oven-dried (CDP) cladodes, were developed as alternatives to the noxious synthetic ones. The flocculating activity of these three extracts was evaluated in treating a synthetic Disperse Blue-1 (DB-1) dye solution and a real industrial effluent loaded with heavy metals. A prominent DB-1 removal of up to 80% was achieved using CJ, CLP and CDP. Significant colour and turbidity reductions (94%) were attained using only 20 mg/L of CLP. Likewise, the cactus bio-flocculants complementing alum as a coagulant ensured an enhanced Zn removal from the industrial wastewater. For instance, both CLP and CDP allowed salient Zn uptake exceeding 99% against 69% using the CJ formula. The slight disparity in the flocculating activity between these three formulations could be ascribed to their preparation procedures affecting the integrity of their active agents (polysaccharides and chiefly polygalacturonic acid). Further, it is thought that the presence of hydroxyl (–OH) and carboxyl (–COOH) groups on this latter’s backbone confers the cactus extracts a notable flocculating ability regardless of the type of water pollutants. The plausible flocculation mechanisms for DB-1 molecules and Zn removal are assumed to be adsorption-bridging and adsorption-charge neutralization, respectively.
Q4
Assessment of Ecological and Potential Health Risk Caused by Nitrate Pollution of the Berdan and Göksu River Basins, Turkey
İsmail Akçay, Özgür Özbay
To determine ecological and health risk assessment of the Berdan and Göksu river waters, principal physical and biochemical variables were measured monthly between September 2021 and August 2022 in the Berdan and Göksu river basins. Ecological risk assessment of the studied river basins indicated that both the Berdan and Göksu river waters were contaminated by phosphorus. Potential health risk assessment of the Berdan and Göksu river basins showed that the calculated Health Quotient values in the two visited stations in the Berdan river exceeded 0.1 indicating low cancer risk for both adults and children whilst one visited station in the Göksu River basin showed low cancer risk for children. The health risk assessment also indicated that the Health Quotient values calculated for children were consistently higher than those calculated for adults, showing that children were potentially at higher risk for health hazards from nitrate.
Q4
Using Iron-Based Adsorbents for the Removal of Inorganic Ecotoxicants from Aquatic Systems
Kobets S.A., Demutskaya L.M., Pshinko G.M.
The study investigates the adsorption of heavy metals (HMs), specifically Cd(II) and Co(II), from aqueous solutions using synthesized iron oxides with layered structures and surface groups of a basic nature: goethite α-FeO(OH), lepidocrocite γ-FeO(OH), and ferrihydrite Fe(OH)3. The results indicate that these crystalline materials are effective in adsorbing heavy metals within pH ranges typical of natural aquatic environments (7.5). We determined the conditions for extracting heavy metals, examining the effect of pH in aqueous solutions, ionic strength, adsorbent dosage, and major components of natural waters. The results show that the majority of HM ions are extracted within the first 30 min of contact between the aqueous solution and the solid phase of the adsorbents, with adsorption equilibrium being reached for iron-containing adsorbents in approximately 4 h. To account for the relative distribution of HM species in aqueous environments with varying pH values, we calculated the distribution of these species for the concentrations studied in model water solutions, enabling an evaluation of the extraction mechanism. The adsorption of Co(II) and Cd(II) is primarily driven by the interaction of their cationic forms with ferrinol surface groups of the studied iron-containing minerals through chemisorption from aqueous solutions within the investigated pH range. The adsorption limits for goethite and ferrihydrite are nearly identical, while those for lepidocrocite are significantly lower, which can be attributed to their structure and the availability of active adsorption sites. The shape of the adsorption isotherm curves is also quite similar across the entire concentration range. Based on the data obtained regarding the adsorption efficiency of Cd(II) and Co(II), which are among the most challenging cations to remove using adsorption methods, the synthesized goethite and ferrihydrite can be recommended as cost-effective and efficient materials for the purification of natural waters contaminated with heavy metals.
Q4
Assessing the Presence of Metals in Surface Waters: A Case Study Conducted in Algeria Using a Combination of Artificial Neural Networks and Multiple Indices
Hadjer Keria, Zoubiri A., Bensaci E., Said Z.B., Guelil A.
Elevated concentrations of heavy metals in wetlands can contaminate surface water, posing hazards to human health and ecological balance. Given increasing urbanization and activities in places like Algeria, it is crucial to closely monitor and effectively control heavy metal pollution in surface water. This study proposes the use of artificial neural networks (ANN) and various indicators to comprehensively assess metal contamination in Algerian surface waters and its implications for public health. Sixteen water samples were collected for the composition analysis and source identification. Measurements indicated that several areas exceed the World Health Organization (WHO) limits for four metals. Methods such as the heavy metal evaluation index (HEI) and heavy metal pollution index (HPI) were employed to assess pollution levels. Results showed that over 99% of samples exhibited significant pollution according to HPI, with 60% showing elevated pollution levels by HEI, highlighting substantial contamination risks. Principal component analysis (PCA) revealed that the first two components accounted for 93.540% of total variation, with subsequent components contributing 6.459% or less. PCA 1 and PCA 2, representing 49.084 and 44.456% of variability, respectively, were identified as primary components, while PCA 3 and PCA 4 each contributed less than 5.015 and 1.444% to total variance. The study demonstrated minimal error values and R2 values exceeding 0.5 during the testing of heavy metal models, indicating robust performance. Overall, this study underscores the prevalence of elevated metal levels in water bodies, providing comprehensive insights into heavy metal contamination in Algerian basins to assist environmental management decisions and protect public health.
Q4
Effect of Solar Activity Cycles on the Dnipro Water Quality Parameters
Kulishenko O.Y., Klymenko N.A., Nevinna L.V.
The historical development of viewpoints on the effect of solar activity on climatic phenomena is analyzed as possible mediators in the generation of water quality changes. The quality of water delivered to the water treatment facilities of the Dnipro Water Supply Station (DWSS) in Kiev after the Kyiv Reservoir is studied. It is shown that such parameters as color and oxidability are caused by organic substances, the presence of which in water correlates with solar activity in a certain way. Using cross-correlation and wavelet analyses, the existence of a moderate correlations between solar activity and turbidity, iron and manganese content, permanganate oxidability, and total organic carbon content is shown. These parameters are likely to be varied due to climatic conditions and water supply source hydrology changes, inclusively, in the balance of water inflow to the Kyiv Reservoir.
Q4
Preparation of New Carbonaceous Adsorbents Based on Agricultural Waste and Its Application to the Elimination of Crystal Violet Dye from Water Media
Boumessaidia Selmane, Nourrdine C., Eddine K.H., Ouerida M., Abdelkader O.
In this work, the Washingtonia palm stems were used as a novel precursor to product biochar (BCW) and activated carbon (CAW). The resulting CAW and BCW samples were characterized by N2 adsorption−desorption, scanning electron microscopy (SEM) and pH of zero-charge point (pHPZC). The results show a very large specific surface area and pore volume for CAW (SBET = 1032 m2/g, V = 1.1 cm3/g) compared to BCW (SBET = 357 m2/g, V = 0.27 cm3/g). The SEM images show a more or less regular porous shape for both samples. The obtained values of pHPZC were 5.2 and 6 for CAW and BCW samples, respectively. The ionic strength from 0 to 1.0 M greatly affects the adsorption capacity of Crystal Violet (CV) on BCW unlike that for CAW. The adsorption process occurred quickly and the kinetic data were well described by the pseudo first order (PFO), pseudo second order (PSO), Elovich and Avrami models. The maximum adsorption capacity of CV on CAW and BCW calculated from the Langmuir model was 328 and 93 mg/g respectively at 35°C. The values of the average free energy determined by the Dubinin–Radushkevich model are less than 8 kJ/mol, indicative of physisorption. The thermodynamic study at different solution temperatures (15, 25, and 35°C) shows that the adsorption process occurred spontaneously (∆G° < 0) and was exothermic for CAW and BCW (∆H° = –28.66 and –38.46 kJ/mol, respectively).
Q4
The Potential of Acid Hydrolysis as Pre-Treatment for Improved Nutrient Recovery from Domestic Wastewater
Carla Mae Pausta, Devendra Saroj
Domestic wastewaters have a significant concentration of nutrients that can be utilised as alternative sources of phosphorus and nitrogen for agriculture applications. Chemical precipitation is one of the processes found to be an efficient way for nutrient recovery from various wastewater feedstock. However, not all nutrients are in a form that can be readily recovered. Therefore, a pre-treatment process may be necessary for an efficient recovery of nitrogen and phosphorus. In this research, acid hydrolysis was performed as pre-treatment to release phosphorus from synthetic septage into soluble forms for the subsequent precipitation as struvite (MgNH4PO4·6H2O) which is known as a slow-release fertiliser for application in agriculture. Results show that acid hydrolysis increases the phosphate concentration (PO4-P) to 148.07 ± 1.78 from 61.50 ± 0.07 mg/L, showing the potential of hydrolysis as pre-treatment to efficiently recover nutrients in the form of struvite. The result can inform further research to develop efficient processes for the recovery of nutrients from domestic wastewater.
Q4
Floating Amphiphilic Biomass-Based Material Obtained by Plasma Processing for Enhanced Wastewater Remediation
Nehemie Miloh, Tarkwa J., Sop-Tamo B., Mbafou C.F., Kouotou P.M., Acayanka E., Kamgang G.Y.
A self-floating amphiphilic biosorbent (SFAB) was prepared by dispersing the plasma-modified water hyacinth (WH) (Eichhornia crassipes) fibers on the beeswax support. The synthesis process takes advantage of the functionalising properties of plasma with polar groups (–OH, –CO, –COOH) and the binding effect of beeswax. The characteristics of the obtained biosorbent exhibited significant changes in surface chemistry and roughness confirmed by scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), and energy dispersive X-ray spectroscopy (EDX). The resulting functionalised material offers appropriate anchoring sites for pollutants leading to a biomaterial with hydrophilic and lipophilic properties. The removal performance of the SFAB outperforms the natural biomass fibers taking alone, with an uptake capacity of 20.83 mg/g for merbromin (MB) (50 mg/L) and 19.90 mg/g for Green Naphthol B (GNB) (50 mg/L), based on the successfully fitted general-order kinetic model. The effects of some key adsorption parameters were optimised, and the equilibrium data (298–323 K) were best fitted by the Liu isotherm reaching 47.20 and 36.40 mg/g of uptake amounts for MB and GNB, respectively at 298 K. The removal mechanism is governed by π–π interplay, hydrophobic interaction, and hydrogen bonding effects.
Q4
The Study of the Photocatalytic Degradation of Orange II Dye with Wastewater Using New Pyrochlore Solid Solutions Bi1.5Sb1.5Zn1–xCuxO7 as Photocatalysts
Zouaoui Kheira, Mayouf S., Bennabi S., Fadia M., Cherifa M.D.
In this present work, photocatalysts based on a new pyrochlore-type solid solution were prepared using the ceramic method at 1000°C. X-ray diffraction (XRD) analysis shows the existence of a solid solution with pyrochlore structure Bi1.5Sb1.5Zn1–xCuxO7 (0 ≤ x ≤ 1). Scanning Electron Microscope (SEM) images exhibited a slight difference in the external morphology of the samples. The UV-diffuse measurement revealed a change in the absorbance from the UV part for the zinc-rich compound to the visible part for the copper-rich compound. The Energy band gap values were between 3.15 and 1.84 eV. The photocatalytic activity of these prepared mixed oxides was studied for the photo-degradation of the dye Orange II (ORII) as an organic pollutant, in the presence of hydrogen peroxide (H2O2) as an oxidising agent, under sunlight irradiation, by varying different parameters such as the catalysts mass, the oxidant volume, the concentration of the pollutant and the pH. The experimental results obtained by UV-visible spectroscopy revealed that the removal efficiency of ORII increased with increasing the irradiation time for all tested photocatalysts. The pseudo-first-order kinetic model gave the best fit, with the highest correlation coefficients (R2 = 0.99). The results of this study revealed the potential and various advantages of these new efficient photocatalysts.
Q4
Determination of Trace Cobalt in Water Samples by Ionic Liquid-Dispersive Liquid–Liquid Microextraction and Graphite Furnace Atomic Absorption Spectrometry
Yaqi Liu, Han Q., Huo Y., Yang X.
A new method for the determination of ultra-trace cobalt by ionic liquid-dispersive liquid-liquid microextraction (IL-DLLME) and graphite furnace atomic absorption spectrometry (GFAAS) was developed. The trace cobalt was extracted by DLLME using the homemade reagent 2-(5-bromo-2-pyridylazo)-5-dimethylaminobenzenamine (5-Br-PADMA) as chelating agent, the ionic liquid 1-hexyl-3-methylimidazolium hexafluorophosphate ([C6mim][PF6]) as extractant, and acetonitrile (CH3CN) as dispersing agent, and then determined by GFAAS. The factors affecting the cobalt extraction efficiency: the type and volume of extraction solvent and dispersive solvent, the concentration and dosage of chelating agent, and the pH of the solution, were explored using the one-way rotation method. Under the optimized conditions, the cobalt concentration showed excellent linearity in the range of 0.05–1.50 ng/mL with the detection limit of 0.026 ng/mL; the relative standard deviation (RSD) for the determination of the cobalt standard solution with the mass concentration of 1.0 ng/mL was 4.83% (n = 9). From the slope of the linear regression equation for the determination of cobalt obtained after extraction compared with that before extraction, the enrichment factor of the method was found to be 62, and the spiked recoveries were in the range of 94.0–104.4%. The method is characterized by low detection limit, high sensitivity, and environment friendliness as well as convenient and rapid operation for the determination of trace cobalt in water samples. The results of this method are satisfactory.
Q4
Optimized Dewaxed Honeycomb Powder as a Promising and Eco-Friendly Alternative for the Removal of Malachite Green through Fixed Bed Column
Roshni Kumari, Khan M.A., Mahto M., Qaiyum M.A., Mohanta J., Dey B., Samal P.P., Sambasivaiah B., Dey S.
A fixed-bed column study for the removal of malachite green (MG) from the aqueous phase was demonstrated using strategically dewaxed honeycomb powder (HCP). The removal efficiency was tested at several working parameters of the column, in particular, the column bed height, initial dye concentration, working pH, and the flow rate. Breakthrough curves have been plotted using the throughput volume versus concentration ratio for different parameters to identify the pathway of uptake. Thomas and bed depth service time (BDST) kinetic models have been applied to obtain the rate constants and the uptake capacity. The BDST model suggests an adsorption capacity of 196.28 mg L–1. The column performance was seen to vary with solution pH and was found favourable at higher pH values. The adsorption rate decreases with increasing flow rate but increases with increasing concentration of the dye. Easy regeneration ensures multi-cycle operations. The mechanism of dye adsorption by HCP has been proposed as a blend of electrostatic attraction and weak forces. Henceforth, the use of HCP for the removal of MG in column mode may be extrapolated to serve as a promising agent in the treatment of dye-containing water and wastewater.
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2500
3000
3500
4000
|
|
Elsevier
3623 citations, 36.68%
|
|
IOP Publishing
1179 citations, 11.94%
|
|
Springer Nature
1103 citations, 11.17%
|
|
MDPI
891 citations, 9.02%
|
|
Wiley
803 citations, 8.13%
|
|
American Chemical Society (ACS)
525 citations, 5.32%
|
|
Royal Society of Chemistry (RSC)
222 citations, 2.25%
|
|
Taylor & Francis
205 citations, 2.08%
|
|
Institute of Electrical and Electronics Engineers (IEEE)
203 citations, 2.06%
|
|
Optica Publishing Group
200 citations, 2.02%
|
|
AIP Publishing
112 citations, 1.13%
|
|
SAGE
71 citations, 0.72%
|
|
Laser Institute of America
64 citations, 0.65%
|
|
SPIE-Intl Soc Optical Eng
46 citations, 0.47%
|
|
Frontiers Media S.A.
45 citations, 0.46%
|
|
ASME International
34 citations, 0.34%
|
|
Walter de Gruyter
27 citations, 0.27%
|
|
American Physical Society (APS)
24 citations, 0.24%
|
|
Emerald
23 citations, 0.23%
|
|
Research Square Platform LLC
23 citations, 0.23%
|
|
Shanghai Institute of Optics and Fine Mechanics
22 citations, 0.22%
|
|
EDP Sciences
21 citations, 0.21%
|
|
The Electrochemical Society
20 citations, 0.2%
|
|
American Association for the Advancement of Science (AAAS)
18 citations, 0.18%
|
|
Science in China Press
18 citations, 0.18%
|
|
Tsinghua University Press
14 citations, 0.14%
|
|
Opto-Electronic Advances
14 citations, 0.14%
|
|
Cambridge University Press
11 citations, 0.11%
|
|
World Scientific
11 citations, 0.11%
|
|
Hindawi Limited
11 citations, 0.11%
|
|
Trans Tech Publications
10 citations, 0.1%
|
|
Mary Ann Liebert
9 citations, 0.09%
|
|
IntechOpen
9 citations, 0.09%
|
|
IGI Global
8 citations, 0.08%
|
|
Oxford University Press
7 citations, 0.07%
|
|
Pleiades Publishing
7 citations, 0.07%
|
|
The Korean Society of Precision Engineering
6 citations, 0.06%
|
|
American Vacuum Society
6 citations, 0.06%
|
|
OAE Publishing Inc.
6 citations, 0.06%
|
|
Proceedings of the National Academy of Sciences (PNAS)
4 citations, 0.04%
|
|
Nonferrous Metals Society of China
4 citations, 0.04%
|
|
Chinese Ceramic Society
4 citations, 0.04%
|
|
Acta Physica Sinica, Chinese Physical Society and Institute of Physics, Chinese Academy of Sciences
4 citations, 0.04%
|
|
Institution of Engineering and Technology (IET)
3 citations, 0.03%
|
|
King Saud University
3 citations, 0.03%
|
|
Korean Society of Mechanical Engineers
3 citations, 0.03%
|
|
Japan Society of Applied Physics
3 citations, 0.03%
|
|
Association for Computing Machinery (ACM)
3 citations, 0.03%
|
|
The Technical Association of Photopolymers, Japan
3 citations, 0.03%
|
|
Begell House
2 citations, 0.02%
|
|
Japan Society of Mechanical Engineers
2 citations, 0.02%
|
|
The Royal Society
2 citations, 0.02%
|
|
Public Library of Science (PLoS)
2 citations, 0.02%
|
|
Polymer Society of Korea
2 citations, 0.02%
|
|
Allerton Press
2 citations, 0.02%
|
|
The Russian Academy of Sciences
2 citations, 0.02%
|
|
National University of Science & Technology (MISiS)
2 citations, 0.02%
|
|
SAE International
2 citations, 0.02%
|
|
The Japan Society for Precision Engineering
2 citations, 0.02%
|
|
Ovid Technologies (Wolters Kluwer Health)
1 citation, 0.01%
|
|
American Institute of Mathematical Sciences (AIMS)
1 citation, 0.01%
|
|
Society for Industrial and Applied Mathematics (SIAM)
1 citation, 0.01%
|
|
American Scientific Publishers
1 citation, 0.01%
|
|
Korean Society of Industrial Engineering Chemistry
1 citation, 0.01%
|
|
Iron and Steel Institute of Japan
1 citation, 0.01%
|
|
Society of Rheology
1 citation, 0.01%
|
|
American Institute of Aeronautics and Astronautics (AIAA)
1 citation, 0.01%
|
|
Japan Institute of Metals
1 citation, 0.01%
|
|
Sociedad Espanola de Ceramica y Vidrio
1 citation, 0.01%
|
|
Belarusian National Technical University
1 citation, 0.01%
|
|
Bialystok University of Technology
1 citation, 0.01%
|
|
Beilstein-Institut
1 citation, 0.01%
|
|
Alexandria University
1 citation, 0.01%
|
|
Thomas Telford
1 citation, 0.01%
|
|
The Korean Vacuum Society
1 citation, 0.01%
|
|
National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka) (Publications)
1 citation, 0.01%
|
|
The Surface Finishing Society of Japan
1 citation, 0.01%
|
|
JMIR Publications
1 citation, 0.01%
|
|
Centre for Evaluation in Education and Science (CEON/CEES)
1 citation, 0.01%
|
|
ASTM International
1 citation, 0.01%
|
|
Bauman Moscow State Technical University
1 citation, 0.01%
|
|
The Korean Fiber Society
1 citation, 0.01%
|
|
The Laser Society of Japan
1 citation, 0.01%
|
|
Southwest State University
1 citation, 0.01%
|
|
Tech Science Press
1 citation, 0.01%
|
|
Hans Publishers
1 citation, 0.01%
|
|
Editora Edgard Blucher, Ltda.
1 citation, 0.01%
|
|
Institute of Strength Physics and Materials Science SB RAS
1 citation, 0.01%
|
|
Show all (58 more) | |
500
1000
1500
2000
2500
3000
3500
4000
|
Publishing organizations
5
10
15
20
25
|
|
Huazhong University of Science and Technology
25 publications, 6.22%
|
|
Harbin Institute of Technology
20 publications, 4.98%
|
|
Dalian University of Technology
20 publications, 4.98%
|
|
Xi'an Jiaotong University
15 publications, 3.73%
|
|
Southern University of Science and Technology
15 publications, 3.73%
|
|
Hunan University
14 publications, 3.48%
|
|
City University of Hong Kong
13 publications, 3.23%
|
|
Zhejiang University
11 publications, 2.74%
|
|
Hong Kong Polytechnic University
11 publications, 2.74%
|
|
Tsinghua University
10 publications, 2.49%
|
|
RIKEN-Institute of Physical and Chemical Research
9 publications, 2.24%
|
|
Shanghai Jiao Tong University
8 publications, 1.99%
|
|
South China University of Technology
8 publications, 1.99%
|
|
Tianjin University
8 publications, 1.99%
|
|
University of Science and Technology of China
8 publications, 1.99%
|
|
University of Nebraska–Lincoln
7 publications, 1.74%
|
|
Beijing Institute of Technology
6 publications, 1.49%
|
|
Fudan University
6 publications, 1.49%
|
|
Central South University
6 publications, 1.49%
|
|
Nanjing University of Aeronautics and Astronautics
6 publications, 1.49%
|
|
Wuhan University
6 publications, 1.49%
|
|
Shenzhen University
6 publications, 1.49%
|
|
Nanyang Technological University
6 publications, 1.49%
|
|
University of Manchester
6 publications, 1.49%
|
|
University College Dublin
6 publications, 1.49%
|
|
Jilin University
5 publications, 1.24%
|
|
Nanjing University of Science and Technology
5 publications, 1.24%
|
|
University of Wollongong
5 publications, 1.24%
|
|
Osaka University
5 publications, 1.24%
|
|
Singapore University of Technology and Design
5 publications, 1.24%
|
|
University of New South Wales
4 publications, 1%
|
|
University of Southern California
4 publications, 1%
|
|
National University of Singapore
4 publications, 1%
|
|
Huaqiao University
4 publications, 1%
|
|
Chinese University of Hong Kong
4 publications, 1%
|
|
Shandong University
4 publications, 1%
|
|
Keio University
4 publications, 1%
|
|
Ruhr University Bochum
4 publications, 1%
|
|
Purdue University
4 publications, 1%
|
|
Peking University
3 publications, 0.75%
|
|
University of Electronic Science and Technology of China
3 publications, 0.75%
|
|
Karlsruhe Institute of Technology
3 publications, 0.75%
|
|
Southeast University
3 publications, 0.75%
|
|
Wuhan University of Technology
3 publications, 0.75%
|
|
Northeastern University
3 publications, 0.75%
|
|
Shanghai University of Engineering Science
3 publications, 0.75%
|
|
Soochow University (Suzhou)
3 publications, 0.75%
|
|
Qingdao University of Technology
3 publications, 0.75%
|
|
Iowa State University
3 publications, 0.75%
|
|
University of Queensland
3 publications, 0.75%
|
|
Washington State University
3 publications, 0.75%
|
|
Sungkyunkwan University
3 publications, 0.75%
|
|
University of Hong Kong
3 publications, 0.75%
|
|
Zhengzhou University
3 publications, 0.75%
|
|
Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences
3 publications, 0.75%
|
|
China University of Science and Technology
3 publications, 0.75%
|
|
Agency for Science, Technology and Research
3 publications, 0.75%
|
|
University of Erlangen–Nuremberg
3 publications, 0.75%
|
|
University of Cyprus
2 publications, 0.5%
|
|
Technion – Israel Institute of Technology
2 publications, 0.5%
|
|
Hebrew University of Jerusalem
2 publications, 0.5%
|
|
Beihang University
2 publications, 0.5%
|
|
Northwestern Polytechnical University
2 publications, 0.5%
|
|
Katholieke Universiteit Leuven
2 publications, 0.5%
|
|
University of Bordeaux
2 publications, 0.5%
|
|
Nanjing University
2 publications, 0.5%
|
|
Australian National University
2 publications, 0.5%
|
|
Sun Yat-sen University
2 publications, 0.5%
|
|
Xidian University
2 publications, 0.5%
|
|
Xiamen University
2 publications, 0.5%
|
|
Taiyuan University of Technology
2 publications, 0.5%
|
|
Imperial College London
2 publications, 0.5%
|
|
Suzhou University of Science and Technology
2 publications, 0.5%
|
|
Aarhus University
2 publications, 0.5%
|
|
Jiangsu University of Science and Technology
2 publications, 0.5%
|
|
Jiangsu University
2 publications, 0.5%
|
|
Massachusetts Institute of Technology
2 publications, 0.5%
|
|
Guizhou University
2 publications, 0.5%
|
|
Xi'an University of Technology
2 publications, 0.5%
|
|
Qingdao University
2 publications, 0.5%
|
|
Qilu University of Technology
2 publications, 0.5%
|
|
Tokyo Institute of Technology
2 publications, 0.5%
|
|
Pennsylvania State University
2 publications, 0.5%
|
|
Deakin University
2 publications, 0.5%
|
|
Edith Cowan University
2 publications, 0.5%
|
|
Tokyo University of Agriculture and Technology
2 publications, 0.5%
|
|
Princeton University
2 publications, 0.5%
|
|
Auburn University
2 publications, 0.5%
|
|
Hangzhou Dianzi University
2 publications, 0.5%
|
|
Jiangxi University of Science and Technology
2 publications, 0.5%
|
|
Macau University of Science and Technology
2 publications, 0.5%
|
|
Swansea University
2 publications, 0.5%
|
|
Kanagawa University
2 publications, 0.5%
|
|
University of Toronto
2 publications, 0.5%
|
|
University of Connecticut
2 publications, 0.5%
|
|
National Physical Laboratory
2 publications, 0.5%
|
|
Lomonosov Moscow State University
1 publication, 0.25%
|
|
King Saud University
1 publication, 0.25%
|
|
King Fahd University of Petroleum and Minerals
1 publication, 0.25%
|
|
Northern Border University
1 publication, 0.25%
|
|
Show all (70 more) | |
5
10
15
20
25
|
Publishing organizations in 5 years
5
10
15
20
25
|
|
Huazhong University of Science and Technology
23 publications, 6.12%
|
|
Harbin Institute of Technology
17 publications, 4.52%
|
|
Xi'an Jiaotong University
15 publications, 3.99%
|
|
Dalian University of Technology
13 publications, 3.46%
|
|
Southern University of Science and Technology
13 publications, 3.46%
|
|
City University of Hong Kong
13 publications, 3.46%
|
|
Hunan University
13 publications, 3.46%
|
|
Zhejiang University
11 publications, 2.93%
|
|
Tsinghua University
10 publications, 2.66%
|
|
Hong Kong Polytechnic University
10 publications, 2.66%
|
|
Shanghai Jiao Tong University
8 publications, 2.13%
|
|
South China University of Technology
8 publications, 2.13%
|
|
University of Science and Technology of China
8 publications, 2.13%
|
|
RIKEN-Institute of Physical and Chemical Research
7 publications, 1.86%
|
|
Fudan University
6 publications, 1.6%
|
|
Central South University
6 publications, 1.6%
|
|
Wuhan University
6 publications, 1.6%
|
|
Shenzhen University
6 publications, 1.6%
|
|
Nanyang Technological University
6 publications, 1.6%
|
|
University of Manchester
6 publications, 1.6%
|
|
Jilin University
5 publications, 1.33%
|
|
Nanjing University of Science and Technology
5 publications, 1.33%
|
|
Tianjin University
5 publications, 1.33%
|
|
Singapore University of Technology and Design
5 publications, 1.33%
|
|
Beijing Institute of Technology
4 publications, 1.06%
|
|
Nanjing University of Aeronautics and Astronautics
4 publications, 1.06%
|
|
University of Southern California
4 publications, 1.06%
|
|
National University of Singapore
4 publications, 1.06%
|
|
Huaqiao University
4 publications, 1.06%
|
|
University of Wollongong
4 publications, 1.06%
|
|
Chinese University of Hong Kong
4 publications, 1.06%
|
|
Shandong University
4 publications, 1.06%
|
|
Purdue University
4 publications, 1.06%
|
|
Peking University
3 publications, 0.8%
|
|
University of Electronic Science and Technology of China
3 publications, 0.8%
|
|
Karlsruhe Institute of Technology
3 publications, 0.8%
|
|
Southeast University
3 publications, 0.8%
|
|
Wuhan University of Technology
3 publications, 0.8%
|
|
Northeastern University
3 publications, 0.8%
|
|
Shanghai University of Engineering Science
3 publications, 0.8%
|
|
Soochow University (Suzhou)
3 publications, 0.8%
|
|
Qingdao University of Technology
3 publications, 0.8%
|
|
Iowa State University
3 publications, 0.8%
|
|
University of Queensland
3 publications, 0.8%
|
|
Washington State University
3 publications, 0.8%
|
|
Sungkyunkwan University
3 publications, 0.8%
|
|
University of Hong Kong
3 publications, 0.8%
|
|
Zhengzhou University
3 publications, 0.8%
|
|
Keio University
3 publications, 0.8%
|
|
Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences
3 publications, 0.8%
|
|
China University of Science and Technology
3 publications, 0.8%
|
|
Agency for Science, Technology and Research
3 publications, 0.8%
|
|
Ruhr University Bochum
3 publications, 0.8%
|
|
University College Dublin
3 publications, 0.8%
|
|
University of Cyprus
2 publications, 0.53%
|
|
Technion – Israel Institute of Technology
2 publications, 0.53%
|
|
Hebrew University of Jerusalem
2 publications, 0.53%
|
|
Beihang University
2 publications, 0.53%
|
|
Northwestern Polytechnical University
2 publications, 0.53%
|
|
Katholieke Universiteit Leuven
2 publications, 0.53%
|
|
Nanjing University
2 publications, 0.53%
|
|
Australian National University
2 publications, 0.53%
|
|
Sun Yat-sen University
2 publications, 0.53%
|
|
University of New South Wales
2 publications, 0.53%
|
|
Xidian University
2 publications, 0.53%
|
|
Xiamen University
2 publications, 0.53%
|
|
Taiyuan University of Technology
2 publications, 0.53%
|
|
Imperial College London
2 publications, 0.53%
|
|
Suzhou University of Science and Technology
2 publications, 0.53%
|
|
Aarhus University
2 publications, 0.53%
|
|
Jiangsu University of Science and Technology
2 publications, 0.53%
|
|
Jiangsu University
2 publications, 0.53%
|
|
Massachusetts Institute of Technology
2 publications, 0.53%
|
|
Guizhou University
2 publications, 0.53%
|
|
Xi'an University of Technology
2 publications, 0.53%
|
|
Qingdao University
2 publications, 0.53%
|
|
Qilu University of Technology
2 publications, 0.53%
|
|
Pennsylvania State University
2 publications, 0.53%
|
|
Deakin University
2 publications, 0.53%
|
|
Edith Cowan University
2 publications, 0.53%
|
|
Tokyo University of Agriculture and Technology
2 publications, 0.53%
|
|
Princeton University
2 publications, 0.53%
|
|
Hangzhou Dianzi University
2 publications, 0.53%
|
|
Osaka University
2 publications, 0.53%
|
|
Jiangxi University of Science and Technology
2 publications, 0.53%
|
|
Macau University of Science and Technology
2 publications, 0.53%
|
|
Swansea University
2 publications, 0.53%
|
|
Kanagawa University
2 publications, 0.53%
|
|
University of Nebraska–Lincoln
2 publications, 0.53%
|
|
Lomonosov Moscow State University
1 publication, 0.27%
|
|
King Saud University
1 publication, 0.27%
|
|
King Fahd University of Petroleum and Minerals
1 publication, 0.27%
|
|
Northern Border University
1 publication, 0.27%
|
|
University of Sharjah
1 publication, 0.27%
|
|
University of Lahore
1 publication, 0.27%
|
|
Beijing Normal University
1 publication, 0.27%
|
|
University of Chinese Academy of Sciences
1 publication, 0.27%
|
|
Tongji University
1 publication, 0.27%
|
|
Sichuan University
1 publication, 0.27%
|
|
I. K. Gujral Punjab Technical University
1 publication, 0.27%
|
|
Show all (70 more) | |
5
10
15
20
25
|
Publishing countries
50
100
150
200
250
|
|
China
|
China, 238, 59.2%
China
238 publications, 59.2%
|
USA
|
USA, 43, 10.7%
USA
43 publications, 10.7%
|
Japan
|
Japan, 25, 6.22%
Japan
25 publications, 6.22%
|
United Kingdom
|
United Kingdom, 22, 5.47%
United Kingdom
22 publications, 5.47%
|
Australia
|
Australia, 19, 4.73%
Australia
19 publications, 4.73%
|
Singapore
|
Singapore, 17, 4.23%
Singapore
17 publications, 4.23%
|
Germany
|
Germany, 14, 3.48%
Germany
14 publications, 3.48%
|
France
|
France, 7, 1.74%
France
7 publications, 1.74%
|
Canada
|
Canada, 6, 1.49%
Canada
6 publications, 1.49%
|
Ireland
|
Ireland, 5, 1.24%
Ireland
5 publications, 1.24%
|
Republic of Korea
|
Republic of Korea, 5, 1.24%
Republic of Korea
5 publications, 1.24%
|
Saudi Arabia
|
Saudi Arabia, 3, 0.75%
Saudi Arabia
3 publications, 0.75%
|
Belgium
|
Belgium, 2, 0.5%
Belgium
2 publications, 0.5%
|
Israel
|
Israel, 2, 0.5%
Israel
2 publications, 0.5%
|
India
|
India, 2, 0.5%
India
2 publications, 0.5%
|
Italy
|
Italy, 2, 0.5%
Italy
2 publications, 0.5%
|
Cyprus
|
Cyprus, 2, 0.5%
Cyprus
2 publications, 0.5%
|
Russia
|
Russia, 1, 0.25%
Russia
1 publication, 0.25%
|
Portugal
|
Portugal, 1, 0.25%
Portugal
1 publication, 0.25%
|
Denmark
|
Denmark, 1, 0.25%
Denmark
1 publication, 0.25%
|
Spain
|
Spain, 1, 0.25%
Spain
1 publication, 0.25%
|
Malaysia
|
Malaysia, 1, 0.25%
Malaysia
1 publication, 0.25%
|
Netherlands
|
Netherlands, 1, 0.25%
Netherlands
1 publication, 0.25%
|
UAE
|
UAE, 1, 0.25%
UAE
1 publication, 0.25%
|
Pakistan
|
Pakistan, 1, 0.25%
Pakistan
1 publication, 0.25%
|
Switzerland
|
Switzerland, 1, 0.25%
Switzerland
1 publication, 0.25%
|
50
100
150
200
250
|
Publishing countries in 5 years
50
100
150
200
250
|
|
China
|
China, 221, 58.78%
China
221 publications, 58.78%
|
USA
|
USA, 31, 8.24%
USA
31 publications, 8.24%
|
United Kingdom
|
United Kingdom, 21, 5.59%
United Kingdom
21 publications, 5.59%
|
Japan
|
Japan, 17, 4.52%
Japan
17 publications, 4.52%
|
Australia
|
Australia, 16, 4.26%
Australia
16 publications, 4.26%
|
Singapore
|
Singapore, 16, 4.26%
Singapore
16 publications, 4.26%
|
Germany
|
Germany, 11, 2.93%
Germany
11 publications, 2.93%
|
France
|
France, 5, 1.33%
France
5 publications, 1.33%
|
Canada
|
Canada, 5, 1.33%
Canada
5 publications, 1.33%
|
Republic of Korea
|
Republic of Korea, 5, 1.33%
Republic of Korea
5 publications, 1.33%
|
Saudi Arabia
|
Saudi Arabia, 3, 0.8%
Saudi Arabia
3 publications, 0.8%
|
Belgium
|
Belgium, 2, 0.53%
Belgium
2 publications, 0.53%
|
Israel
|
Israel, 2, 0.53%
Israel
2 publications, 0.53%
|
India
|
India, 2, 0.53%
India
2 publications, 0.53%
|
Ireland
|
Ireland, 2, 0.53%
Ireland
2 publications, 0.53%
|
Italy
|
Italy, 2, 0.53%
Italy
2 publications, 0.53%
|
Cyprus
|
Cyprus, 2, 0.53%
Cyprus
2 publications, 0.53%
|
Russia
|
Russia, 1, 0.27%
Russia
1 publication, 0.27%
|
Portugal
|
Portugal, 1, 0.27%
Portugal
1 publication, 0.27%
|
Denmark
|
Denmark, 1, 0.27%
Denmark
1 publication, 0.27%
|
Spain
|
Spain, 1, 0.27%
Spain
1 publication, 0.27%
|
Malaysia
|
Malaysia, 1, 0.27%
Malaysia
1 publication, 0.27%
|
Netherlands
|
Netherlands, 1, 0.27%
Netherlands
1 publication, 0.27%
|
UAE
|
UAE, 1, 0.27%
UAE
1 publication, 0.27%
|
Pakistan
|
Pakistan, 1, 0.27%
Pakistan
1 publication, 0.27%
|
Switzerland
|
Switzerland, 1, 0.27%
Switzerland
1 publication, 0.27%
|
50
100
150
200
250
|