Jui-Sheng Chen

1.1k total citations
42 papers, 934 citations indexed

About

Jui-Sheng Chen is a scholar working on Environmental Engineering, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, Jui-Sheng Chen has authored 42 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Environmental Engineering, 12 papers in Civil and Structural Engineering and 11 papers in Mechanical Engineering. Recurrent topics in Jui-Sheng Chen's work include Groundwater flow and contamination studies (27 papers), Soil and Unsaturated Flow (11 papers) and Hydraulic Fracturing and Reservoir Analysis (11 papers). Jui-Sheng Chen is often cited by papers focused on Groundwater flow and contamination studies (27 papers), Soil and Unsaturated Flow (11 papers) and Hydraulic Fracturing and Reservoir Analysis (11 papers). Jui-Sheng Chen collaborates with scholars based in Taiwan, South Korea and Canada. Jui-Sheng Chen's co-authors include Ching‐Ping Liang, Chen‐Wuing Liu, Cheng‐Shin Jang, Chuen‐Fa Ni, Sheng‐Wei Wang, Chung‐Min Liao, Yi‐Chi Chien, Yu-Hsuan Kao, Loretta Y. Li and Shao‐Yiu Hsu and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Journal of Hydrology.

In The Last Decade

Jui-Sheng Chen

42 papers receiving 913 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jui-Sheng Chen Taiwan 20 609 219 203 175 131 42 934
Zhilin Guo China 17 489 0.8× 99 0.5× 244 1.2× 227 1.3× 71 0.5× 52 934
Robert Starr United States 11 731 1.2× 207 0.9× 292 1.4× 139 0.8× 177 1.4× 17 1.1k
Thomas G. Naymik United States 7 567 0.9× 240 1.1× 207 1.0× 142 0.8× 112 0.9× 12 911
Mark A. Widdowson United States 19 909 1.5× 165 0.8× 233 1.1× 217 1.2× 113 0.9× 67 1.4k
Daniele Pedretti Italy 17 535 0.9× 214 1.0× 133 0.7× 104 0.6× 147 1.1× 54 731
R. J. Schotting Netherlands 17 439 0.7× 134 0.6× 76 0.4× 116 0.7× 144 1.1× 46 831
Kathryn M. Hess United States 9 907 1.5× 287 1.3× 316 1.6× 133 0.8× 217 1.7× 12 1.1k
W. W. McNab United States 17 649 1.1× 73 0.3× 208 1.0× 113 0.6× 239 1.8× 39 1.1k
Ekkehard Holzbecher Germany 14 362 0.6× 126 0.6× 146 0.7× 102 0.6× 145 1.1× 71 804
Arthur L. Baehr United States 18 1.0k 1.7× 438 2.0× 159 0.8× 132 0.8× 175 1.3× 36 1.4k

Countries citing papers authored by Jui-Sheng Chen

Since Specialization
Citations

This map shows the geographic impact of Jui-Sheng Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jui-Sheng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jui-Sheng Chen more than expected).

Fields of papers citing papers by Jui-Sheng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jui-Sheng Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jui-Sheng Chen. The network helps show where Jui-Sheng Chen may publish in the future.

Co-authorship network of co-authors of Jui-Sheng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jui-Sheng Chen. A scholar is included among the top collaborators of Jui-Sheng Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jui-Sheng Chen. Jui-Sheng Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
3.
Liang, Ching‐Ping, et al.. (2018). Spatial analysis of the risk to human health from exposure to arsenic contaminated groundwater: A kriging approach. The Science of The Total Environment. 627. 1048–1057. 58 indexed citations
4.
Liang, Ching‐Ping, Sheng‐Wei Wang, Yu-Hsuan Kao, & Jui-Sheng Chen. (2016). Health risk assessment of groundwater arsenic pollution in southern Taiwan. Environmental Geochemistry and Health. 38(6). 1271–1281. 54 indexed citations
5.
Chen, Jui-Sheng, Ching‐Ping Liang, Chen‐Wuing Liu, & Loretta Y. Li. (2016). An analytical model for simulating two-dimensional multispecies plume migration. Hydrology and earth system sciences. 20(2). 733–753. 27 indexed citations
6.
Liang, Ching‐Ping, et al.. (2016). Zonal management of multi-purposes groundwater utilization based on water quality and impact on the aquifer. Environmental Monitoring and Assessment. 188(7). 431–431. 11 indexed citations
7.
Liu, Chen‐Wuing, et al.. (2016). A novel method for analytically solving a radial advection-dispersion equation. Journal of Hydrology. 542. 532–540. 18 indexed citations
8.
Chen, Jui-Sheng, Shao‐Yiu Hsu, Ming‐Hsu Li, & Chen‐Wuing Liu. (2016). Assessing the performance of a permeable reactive barrier–aquifer system using a dual-domain solute transport model. Journal of Hydrology. 543. 849–860. 18 indexed citations
9.
Jang, Cheng‐Shin, et al.. (2015). Developing a reliable model for aquifer vulnerability. Stochastic Environmental Research and Risk Assessment. 30(1). 175–187. 24 indexed citations
11.
Liang, Ching‐Ping, et al.. (2012). Probabilistic health risk assessment for ingestion of seafood farmed in arsenic contaminated groundwater in Taiwan. Environmental Geochemistry and Health. 35(4). 455–464. 32 indexed citations
12.
Chen, Jui-Sheng, et al.. (2010). Development of an artificial neural network model for determination of longitudinal and transverse dispersivities in a convergent flow tracer test. Journal of Hydrology. 391(3-4). 367–376. 7 indexed citations
13.
Chen, Jui-Sheng, et al.. (2009). Effects of mechanical dispersion on the morphological evolution of a chemical dissolution front in a fluid-saturated porous medium. Journal of Hydrology. 373(1-2). 96–102. 47 indexed citations
14.
Chen, Jui-Sheng. (2006). Two-dimensional power series solution for non-axisymmetrical transport in a radially convergent tracer test with scale-dependent dispersion. Advances in Water Resources. 30(3). 430–438. 12 indexed citations
15.
Chen, Jui-Sheng, et al.. (2005). Mathematical model for formation decontamination by pumping with well bore mixing. Applied Mathematical Modelling. 30(5). 446–457. 6 indexed citations
16.
Chen, Jui-Sheng & Chen‐Wuing Liu. (2004). Interaction of reactive fronts during transport in a homogeneous porous medium with initial small non-uniformity. Journal of Contaminant Hydrology. 72(1-4). 47–66. 36 indexed citations
17.
Chen, Jui-Sheng, Chen‐Wuing Liu, & Chung‐Min Liao. (2003). Two-dimensional Laplace-transformed power series solution for solute transport in a radially convergent flow field. Advances in Water Resources. 26(10). 1113–1124. 26 indexed citations
18.
Chen, Jui-Sheng, Chen‐Wuing Liu, & Chung‐Min Liao. (2002). A novel analytical power series solution for solute transport in a radially convergent flow field. Journal of Hydrology. 266(1-2). 120–138. 32 indexed citations
19.
Liao, Chung‐Min, et al.. (2001). Modelling lumped-parameter sorption kinetics and diffusion dynamics of odour-causing VOCs to dust particles. Applied Mathematical Modelling. 25(7). 593–611. 12 indexed citations
20.
Liao, Chung‐Min, et al.. (2000). Dynamic model for predicting dust-borne odour concentrations in ventilated animal housing. Applied Mathematical Modelling. 24(2). 131–145. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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