Su‐Shing Chen
Impact in
- Conservation top 1%
- Digital and Traditional Archives Management
Papers in
-
- Intelligent Tutoring Systems and Adaptive Learning 9
- Neural Networks and Applications 5
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- Advanced Vision and Imaging 9
- Co-authors
- Hongchi Shi (13 shared papers)Yi Shang (11 shared papers)Sio-Iong Ao (15 shared papers)Mahyar A. Amouzegar (14 shared papers)Wen-Ran Zhang (4 shared papers)Patrick Eberlein (2 shared papers)V. S. Subrahmanian (1 shared paper)Kutluhan Erol (1 shared paper)
- Journals
- International Journal of Intelligent Systems (7 papers)Journal of Visual Communication and Image Representation (2 papers)International Journal of Information Technology & Decision Making (2 papers)Chemical Communications (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Su‐Shing Chen
109 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 146
- Computer Science Applications 57
- Conservation 48
- Artificial Intelligence 308
- Complementary and alternative medicine 73
- Computer Vision and Pattern Recognition 171
Countries citing papers authored by Su‐Shing Chen
This map shows the geographic impact of Su‐Shing 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‐Shing 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‐Shing Chen more than expected).
Fields of papers citing papers by Su‐Shing Chen
This network shows the impact of papers produced by Su‐Shing 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‐Shing Chen. The network helps show where Su‐Shing Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Su‐Shing Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 143 | |
| 2 | 1996 | 108 | |
| 3 | 2001 | 82 | |
| 4 | 2019 | 77 | |
| 5 | 2001 | 67 | |
| 6 | 2006 | 54 | |
| 7 | 2001 | 53 | |
| 8 | 2015 | 52 | |
| 9 | 2009 | 51 | |
| 10 | 1980 | 48 | |
| 11 | 2015 | 43 | |
| 12 | 2018 | 42 | |
| 13 | 1993 | 38 | |
| 14 | 2009 | 33 | |
| 15 | 2016 | 28 | |
| 16 | 1986 | 26 | |
| 17 | 2009 | 26 | |
| 18 | 2018 | 23 | |
| 19 | 2017 | 18 | |
| 20 | 2005 | 17 |
About Su‐Shing Chen
Su‐Shing Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Science Applications and Molecular Biology, having authored 117 papers that have together received 1.5k indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (9 papers), Advanced Vision and Imaging (9 papers), Biomedical Text Mining and Ontologies (7 papers), Library Science and Information (6 papers), Gene Regulatory Network Analysis (6 papers), Neural Networks and Applications (5 papers), Advanced Algebra and Geometry (5 papers) and Geometric and Algebraic Topology (4 papers). The work is most often cited by research in Computer Science Applications (57 citations), Conservation (48 citations), Artificial Intelligence (308 citations), Complementary and alternative medicine (73 citations) and Computer Vision and Pattern Recognition (171 citations). Su‐Shing Chen has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Hongchi Shi, Yi Shang, Sio-Iong Ao, Mahyar A. Amouzegar, Wen-Ran Zhang, Patrick Eberlein, V. S. Subrahmanian, Kutluhan Erol, Sibel Adalı and K. Selçuk Candan. Their work appears in journals such as International Journal of Intelligent Systems, Journal of Visual Communication and Image Representation, International Journal of Information Technology & Decision Making, Chemical Communications and BMC Bioinformatics.
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.