Su‐Chin Chen

2.5k total citations
102 papers, 1.9k citations indexed

About

Su‐Chin Chen is a scholar working on Management, Monitoring, Policy and Law, Ecology and Soil Science. According to data from OpenAlex, Su‐Chin Chen has authored 102 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Management, Monitoring, Policy and Law, 43 papers in Ecology and 27 papers in Soil Science. Recurrent topics in Su‐Chin Chen's work include Landslides and related hazards (43 papers), Hydrology and Sediment Transport Processes (41 papers) and Soil erosion and sediment transport (27 papers). Su‐Chin Chen is often cited by papers focused on Landslides and related hazards (43 papers), Hydrology and Sediment Transport Processes (41 papers) and Soil erosion and sediment transport (27 papers). Su‐Chin Chen collaborates with scholars based in Taiwan, China and Eswatini. Su‐Chin Chen's co-authors include Xiangzhou Xu, Shaohua Xu, Yan Xu, Yi‐Ming Kuo, Chun‐Yi Wu, Yan‐Zin Chang, Hsun-Chuan Chan, Samkele S. Tfwala, Chien‐Yuan Chen and Keh‐Liang Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Hydrology.

In The Last Decade

Su‐Chin Chen

96 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su‐Chin Chen Taiwan 24 642 589 493 436 434 102 1.9k
Jianting Zhu United States 32 262 0.4× 366 0.6× 409 0.8× 990 2.3× 709 1.6× 142 2.8k
Sang-Wan Kim South Korea 25 300 0.5× 378 0.6× 195 0.4× 396 0.9× 76 0.2× 98 2.7k
Andreas Papritz Switzerland 23 307 0.5× 278 0.5× 552 1.1× 304 0.7× 439 1.0× 53 2.0k
Jun Zhao China 22 123 0.2× 501 0.9× 544 1.1× 368 0.8× 110 0.3× 98 1.5k
Yosuke Yamashiki Japan 22 153 0.2× 344 0.6× 101 0.2× 816 1.9× 130 0.3× 116 1.9k
Stefano Ferraris Italy 20 146 0.2× 218 0.4× 391 0.8× 206 0.5× 283 0.7× 61 1.2k
Magaly Koch United States 24 206 0.3× 629 1.1× 145 0.3× 560 1.3× 42 0.1× 83 1.9k
Junjie Wang China 26 246 0.4× 376 0.6× 41 0.1× 422 1.0× 254 0.6× 113 2.4k
Paola Mercogliano Italy 28 305 0.5× 112 0.2× 65 0.1× 1.2k 2.7× 159 0.4× 146 2.0k
Mário Pereira Portugal 27 597 0.9× 443 0.8× 175 0.4× 2.1k 4.8× 18 0.0× 67 2.7k

Countries citing papers authored by Su‐Chin Chen

Since Specialization
Citations

This map shows the geographic impact of Su‐Chin 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 Su‐Chin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su‐Chin Chen more than expected).

Fields of papers citing papers by Su‐Chin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Chin 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 Su‐Chin Chen. The network helps show where Su‐Chin Chen may publish in the future.

Co-authorship network of co-authors of Su‐Chin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Su‐Chin Chen. A scholar is included among the top collaborators of Su‐Chin 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 Su‐Chin Chen. Su‐Chin 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.
2.
Chen, Su‐Chin, et al.. (2024). Impact of vegetation roots on erosion protection of sandbars in laboratory experiments. CATENA. 249. 108631–108631.
3.
Wu, Yu‐Hung, et al.. (2023). Nature-Based Solutions for Disaster Reduction and Improving Ecosystem Services in the Hutoubi Watershed, Taiwan. Water. 15(14). 2527–2527. 4 indexed citations
4.
Chen, Hung‐En, et al.. (2023). The Application of Wireless Underground Sensor Networks to Monitor Seepage inside an Earth Dam. Sensors. 23(8). 3795–3795. 5 indexed citations
5.
Kang, Chao, Su‐Chin Chen, Dave Chan, & Samkele S. Tfwala. (2020). Numerical modeling of large-scale dam breach experiment. Landslides. 17(12). 2737–2754. 11 indexed citations
6.
Chen, Chien‐Yuan, et al.. (2018). Thermal monitoring and analysis of the large-scale field earth-dam breach process. Environmental Monitoring and Assessment. 190(8). 483–483. 16 indexed citations
7.
Yan, Yan, et al.. (2017). Characteristics and interpretation of the seismic signal of a field-scale landslide dam failure experiment. Journal of Mountain Science. 14(2). 219–236. 16 indexed citations
8.
Chen, Chien‐Yuan, Su‐Chin Chen, & Kuan‐Hua Chen. (2016). Earth Dam Monitoring by Using Infrared Thermography Detection. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Chao, Wei‐An, et al.. (2016). Seismology-based early identification of dam-formation landquake events. Scientific Reports. 6(1). 19259–19259. 29 indexed citations
10.
Chen, Su‐Chin, et al.. (2015). Determination of Landslide and Driftwood Potentials by Fixed-wing UAV-Borne RGB and NIR images: A Case Study of Shenmu Area in Taiwan. EGUGA. 2491. 4 indexed citations
11.
Kuo, Yen‐Lien, Cheng‐Shin Jang, Hwa‐Lung Yu, Su‐Chin Chen, & Hone‐Jay Chu. (2013). Identifying nearshore groundwater and river hydrochemical variables influencing water quality of Kaoping River Estuary using dynamic factor analysis. Journal of Hydrology. 486. 39–47. 23 indexed citations
12.
Wu, Chun‐Yi & Su‐Chin Chen. (2013). Integrating spatial, temporal, and size probabilities for the annual landslide hazard maps in the Shihmen watershed, Taiwan. Natural hazards and earth system sciences. 13(9). 2353–2367. 17 indexed citations
13.
Su, Pen-Hua, et al.. (2012). Perinatal Effects of Combined Use of Heroin, Methadone, and Amphetamine during Pregnancy and Quantitative Measurement of Metabolites in Hair. Pediatrics & Neonatology. 53(2). 112–117. 8 indexed citations
14.
Chen, Su‐Chin, et al.. (2010). Flow characteristics within different configurations of submerged flexible vegetation. Journal of Hydrology. 398(1-2). 124–134. 77 indexed citations
15.
Lee, Mel S., et al.. (2009). Evaluation of differentially expressed genes by shear stress in human osteoarthritic chondrocytes in vitro.. PubMed. 32(1). 42–50. 17 indexed citations
16.
Lin, Keh‐Liang, et al.. (2008). Integration of GC/EI-MS and GC/NCI-MS for simultaneous quantitative determination of opiates, amphetamines, MDMA, ketamine, and metabolites in human hair. Journal of Chromatography B. 870(2). 192–202. 63 indexed citations
17.
Lin, Keh‐Liang, et al.. (2008). Simultaneous quantitative determination of amphetamines, ketamine, opiates and metabolites in human hair by gas chromatography/mass spectrometry. Rapid Communications in Mass Spectrometry. 22(6). 887–897. 58 indexed citations
18.
Xu, Xiangzhou, et al.. (2008). An experimental method to verify soil conservation by check dams on the Loess Plateau, China. Environmental Monitoring and Assessment. 159(1-4). 293–309. 7 indexed citations
19.
Chen, Su‐Chin, et al.. (2006). Comparison of numerical and experimental study of dam-break induced mudflow. IAHS-AISH publication. 548–555. 2 indexed citations
20.
Chen, Su‐Chin, et al.. (1995). Chaotic Phenomena of Rainfall and Runoff in Tou Chien Creek. Water resources engineering. 1703–1707.

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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