Daniel Yeung
Impact in
- Computational Theory and Mathematics top 0.5%
- Rough Sets and Fuzzy Logic
- Advanced Algebra and Logic
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- Fuzzy and Soft Set Theory
- Multi-Criteria Decision Making
Papers in
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- Neural Networks and Applications 30
- Machine Learning and ELM 8
- Anomaly Detection Techniques and Applications 7
- Fuzzy Logic and Control Systems 7
- Adversarial Robustness in Machine Learning 5
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- Face and Expression Recognition 11
- Co-authors
- Eric C.C. Tsang (24 shared papers)Xizhao Wang (16 shared papers)Degang Chen (6 shared papers)Wing W. Y. Ng (9 shared papers)Xiaoqin Zeng (6 shared papers)Defeng Wang (4 shared papers)Wen‐Xiu Zhang (1 shared paper)Suyun Zhao (2 shared papers)
In The Last Decade
Daniel Yeung
65 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 126
- Computational Theory and Mathematics 869
- Management Science and Operations Research 661
- Artificial Intelligence 770
- Computer Vision and Pattern Recognition 364
- Signal Processing 191
Countries citing papers authored by Daniel Yeung
This map shows the geographic impact of Daniel Yeung'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 Daniel Yeung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Yeung more than expected).
Fields of papers citing papers by Daniel Yeung
This network shows the impact of papers produced by Daniel Yeung. 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 Daniel Yeung. The network helps show where Daniel Yeung may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Yeung, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 468 | |
| 2 | 2007 | 167 | |
| 3 | 2005 | 156 | |
| 4 | 2007 | 152 | |
| 5 | 2008 | 110 | |
| 6 | 2009 | 85 | |
| 7 | 2001 | 74 | |
| 8 | 2005 | 71 | |
| 9 | 2008 | 71 | |
| 10 | 2005 | 59 | |
| 11 | 2017 | 56 | |
| 12 | 2007 | 53 | |
| 13 | 2007 | 51 | |
| 14 | 2003 | 47 | |
| 15 | 2001 | 30 | |
| 16 | 2007 | 19 | |
| 17 | 2021 | 16 | |
| 18 | 2005 | 15 | |
| 19 | 2005 | 14 | |
| 20 | 2006 | 13 |
About Daniel Yeung
Daniel Yeung is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computational Theory and Mathematics and Computer Networks and Communications, having authored 69 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural Networks and Applications (30 papers), Face and Expression Recognition (11 papers), Machine Learning and ELM (8 papers), Rough Sets and Fuzzy Logic (8 papers), Anomaly Detection Techniques and Applications (7 papers), Fuzzy Logic and Control Systems (7 papers), Data Mining Algorithms and Applications (6 papers) and Adversarial Robustness in Machine Learning (5 papers). The work is most often cited by research in Computational Theory and Mathematics (869 citations), Management Science and Operations Research (661 citations), Artificial Intelligence (770 citations), Computer Vision and Pattern Recognition (364 citations) and Signal Processing (191 citations). Daniel Yeung has collaborated with scholars based in Hong Kong, China and Taiwan. Frequent co-authors include Eric C.C. Tsang, Xizhao Wang, Degang Chen, Wing W. Y. Ng, Xiaoqin Zeng, Defeng Wang, Wen‐Xiu Zhang, Suyun Zhao, Sankar K. Pal and Tharam S. Dillon. Their work appears in journals such as Neurocomputing, Pattern Recognition, Soft Computing, Information Sciences and International Journal of Neural Systems.
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.