Patrick P. K. Chan
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
Papers in
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- Face and Expression Recognition 23
- Advanced Image and Video Retrieval Techniques 15
- Image Retrieval and Classification Techniques 13
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- Neural Networks and Applications 20
- Adversarial Robustness in Machine Learning 12
- Anomaly Detection Techniques and Applications 11
- Co-authors
- Daniel Yeung (72 shared papers)Wing W. Y. Ng (62 shared papers)Ronnie Sircar (5 shared papers)Henry M.K. Mok (1 shared paper)Fei Zhang (6 shared papers)Battista Biggio (1 shared paper)Fabio Roli (1 shared paper)Eric C.C. Tsang (11 shared papers)
- Journals
- International Journal of Machine Learning and Cybernetics (9 papers)Information Sciences (6 papers)Neurocomputing (5 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Patrick P. K. Chan
115 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 121
- Signal Processing 332
- Computer Vision and Pattern Recognition 522
- Artificial Intelligence 634
- Media Technology 105
- Computer Networks and Communications 269
Countries citing papers authored by Patrick P. K. Chan
This map shows the geographic impact of Patrick P. K. Chan'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 Patrick P. K. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick P. K. Chan more than expected).
Fields of papers citing papers by Patrick P. K. Chan
This network shows the impact of papers produced by Patrick P. K. Chan. 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 Patrick P. K. Chan. The network helps show where Patrick P. K. Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick P. K. Chan, 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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 160 | |
| 2 | 2015 | 154 | |
| 3 | 1995 | 140 | |
| 4 | 2014 | 59 | |
| 5 | 2017 | 56 | |
| 6 | 2014 | 55 | |
| 7 | 2014 | 48 | |
| 8 | 2021 | 47 | |
| 9 | 2015 | 47 | |
| 10 | 2014 | 37 | |
| 11 | 2015 | 37 | |
| 12 | 2012 | 37 | |
| 13 | 2017 | 32 | |
| 14 | 2017 | 31 | |
| 15 | 2009 | 28 | |
| 16 | 2014 | 24 | |
| 17 | 2004 | 23 | |
| 18 | 2012 | 21 | |
| 19 | 2018 | 20 | |
| 20 | 2010 | 20 |
About Patrick P. K. Chan
Patrick P. K. Chan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Control and Systems Engineering, having authored 118 papers that have together received 1.7k indexed citations. Recurring topics across this work include Face and Expression Recognition (23 papers), Neural Networks and Applications (20 papers), Advanced Image and Video Retrieval Techniques (15 papers), Network Security and Intrusion Detection (14 papers), Image Retrieval and Classification Techniques (13 papers), Adversarial Robustness in Machine Learning (12 papers), Advanced Malware Detection Techniques (12 papers) and Anomaly Detection Techniques and Applications (11 papers). The work is most often cited by research in Signal Processing (332 citations), Computer Vision and Pattern Recognition (522 citations), Artificial Intelligence (634 citations), Media Technology (105 citations) and Computer Networks and Communications (269 citations). Patrick P. K. Chan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Daniel Yeung, Wing W. Y. Ng, Ronnie Sircar, Henry M.K. Mok, Fei Zhang, Battista Biggio, Fabio Roli, Eric C.C. Tsang, Xizhao Wang and Daniel Yeung. Their work appears in journals such as International Journal of Machine Learning and Cybernetics, Information Sciences, Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems and Frontiers in Pharmacology.
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.