Eric C.C. Tsang
Impact in
- Computational Theory and Mathematics top 0.05%
- Rough Sets and Fuzzy Logic
- Advanced Algebra and Logic
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- Multi-Criteria Decision Making
- Fuzzy and Soft Set Theory
Papers in
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- Neural Networks and Applications 28
- Fuzzy Logic and Control Systems 25
- Machine Learning and ELM 14
- Advanced Computational Techniques and Applications 14
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- Rough Sets and Fuzzy Logic 77
- Co-authors
- Degang Chen (42 shared papers)Wing W. Y. Ng (55 shared papers)Xizhao Wang (24 shared papers)Daniel Yeung (24 shared papers)Suyun Zhao (5 shared papers)Weihua Xu (19 shared papers)Defeng Wang (10 shared papers)Yanting Guo (17 shared papers)
In The Last Decade
Eric C.C. Tsang
146 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 118
- Computational Theory and Mathematics 3.1k
- Management Science and Operations Research 1.3k
- Artificial Intelligence 2.3k
- Information Systems 1.5k
- Computer Vision and Pattern Recognition 743
Countries citing papers authored by Eric C.C. Tsang
This map shows the geographic impact of Eric C.C. Tsang'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 Eric C.C. Tsang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric C.C. Tsang more than expected).
Fields of papers citing papers by Eric C.C. Tsang
This network shows the impact of papers produced by Eric C.C. Tsang. 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 Eric C.C. Tsang. The network helps show where Eric C.C. Tsang may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric C.C. Tsang, 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 160 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 468 | |
| 2 | 2005 | 339 | |
| 3 | 2008 | 254 | |
| 4 | 2009 | 180 | |
| 5 | 2007 | 167 | |
| 6 | 2005 | 156 | |
| 7 | 2007 | 152 | |
| 8 | 2016 | 131 | |
| 9 | 2008 | 110 | |
| 10 | 2017 | 105 | |
| 11 | 2001 | 102 | |
| 12 | 2009 | 101 | |
| 13 | 2021 | 88 | |
| 14 | 2002 | 86 | |
| 15 | 1997 | 86 | |
| 16 | 2008 | 71 | |
| 17 | 2021 | 70 | |
| 18 | 2009 | 68 | |
| 19 | 2015 | 64 | |
| 20 | 2016 | 61 |
About Eric C.C. Tsang
Eric C.C. Tsang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 160 papers that have together received 4.7k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (77 papers), Data Mining Algorithms and Applications (41 papers), Neural Networks and Applications (28 papers), Fuzzy Logic and Control Systems (25 papers), Multi-Criteria Decision Making (22 papers), Face and Expression Recognition (19 papers), Machine Learning and ELM (14 papers) and Advanced Computational Techniques and Applications (14 papers). The work is most often cited by research in Computational Theory and Mathematics (3.1k citations), Management Science and Operations Research (1.3k citations), Artificial Intelligence (2.3k citations), Information Systems (1.5k citations) and Computer Vision and Pattern Recognition (743 citations). Eric C.C. Tsang has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Degang Chen, Wing W. Y. Ng, Xizhao Wang, Daniel Yeung, Suyun Zhao, Weihua Xu, Defeng Wang, Yanting Guo, Junhyeong Lee and Meng Hu. Their work appears in journals such as Information Sciences, Knowledge-Based Systems, International Journal of Machine Learning and Cybernetics, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).
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.