S. Chen

60.0k citations
26 papers · 1.2k indexed · 1 hit paper · h-index 12

Impact in

Papers in

S. Chen

26 papers receiving 1.2k citations

Hit Papers

Robust Image Segmentation Using FCM With Spatial Constraints Based on New Kernel-Induced Distance Measure 2004 · 873 citations
8732004202620112018250500750

Peers

S. Chen
Comparison fields: 5 of 116
  • Media Technology 394
  • Computer Vision and Pattern Recognition 667
  • Modeling and Simulation 83
  • Neurology 95
  • Numerical Analysis 48
Replace Luminița Moraru with:
Luminița Moraru Romania
Tomeu Coll Spain
Abderrahim Elmoataz France
Guillaume Obozinski Switzerland
Olivier Lézoray France
Beijing Chen China
Hongqing Zhu China
R.A. Haddad United States
Andrew K. Chan United States
Tien D. Bui Canada
S. Chen relative to Luminița Moraru Romania Luminița Moraru's profile →
Citations per field
00.5×9.0×
Luminița Moraru · 1×
Citations per year

Countries citing papers authored by S. Chen

Since Specialization
Citations

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

Fields of papers citing papers by S. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Chen Line = papers co-authored together S. Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Robust Image Segmentation Using FCM With Spatial Constraints Based on New Kernel-Induced Distance Measure
Hit paper breakdown →
2004873
2 2007102
3 201638
4 201537
5 197225
6 201824
7 201622
8 201419
9 201417
10 202114
11 199713
12 200813
13 201311
14 201210
15 20189
16 20195
17 20173
18 20212
19 20062
20 20172

About S. Chen

S. Chen is a scholar working on Modeling and Simulation, Numerical Analysis, Hardware and Architecture, Mechanics of Materials and Statistical and Nonlinear Physics, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (10 papers), Numerical methods in engineering (5 papers), Caching and Content Delivery (3 papers), Thermoelastic and Magnetoelastic Phenomena (2 papers), Stochastic processes and financial applications (2 papers), Financial Risk and Volatility Modeling (2 papers), Differential Equations and Numerical Methods (2 papers) and Aquaculture disease management and microbiota (2 papers). The work is most often cited by research in Media Technology (394 citations), Computer Vision and Pattern Recognition (667 citations), Modeling and Simulation (83 citations), Neurology (95 citations) and Numerical Analysis (48 citations). S. Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include David Zhang, Xiaoyun Jiang, Zhe Zhang, Xueli Li, Min Yuan, W. W. Buechner, Xiaolong Gao, Chu Wang, J. Rapaport and H.A. Enge. Their work appears in journals such as Computers & Mathematics with Applications, Aquaculture, Applied Mathematical Modelling, Computational Mechanics and Journal of High Energy Physics.

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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