Patrick P. K. Chan

2.5k total citations
118 papers, 1.7k citations indexed

About

Patrick P. K. Chan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Patrick P. K. Chan has authored 118 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computer Vision and Pattern Recognition, 50 papers in Artificial Intelligence and 19 papers in Signal Processing. Recurrent topics in Patrick P. K. Chan's work include Face and Expression Recognition (23 papers), Neural Networks and Applications (20 papers) and Advanced Image and Video Retrieval Techniques (15 papers). Patrick P. K. Chan is often cited by papers focused on Face and Expression Recognition (23 papers), Neural Networks and Applications (20 papers) and Advanced Image and Video Retrieval Techniques (15 papers). Patrick P. K. Chan collaborates with scholars based in China, Hong Kong and United States. Patrick P. K. Chan's co-authors include Daniel Yeung, Wing W. Y. Ng, Ronnie Sircar, Henry M.K. Mok, Fei Zhang, Fabio Roli, Battista Biggio, Eric C.C. Tsang, Xizhao Wang and Daniel Yeung and has published in prestigious journals such as Pattern Recognition, Information Sciences and IEEE Transactions on Cybernetics.

In The Last Decade

Patrick P. K. Chan

115 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Patrick P. K. Chan China 21 634 522 332 269 245 118 1.7k
Sotirios Chatzis Cyprus 24 704 1.1× 416 0.8× 241 0.7× 99 0.4× 236 1.0× 86 1.8k
Shie-Jue Lee Taiwan 21 1.0k 1.6× 330 0.6× 193 0.6× 206 0.8× 305 1.2× 120 1.8k
Byung-Ro Moon South Korea 17 869 1.4× 250 0.5× 141 0.4× 190 0.7× 163 0.7× 75 1.6k
Adriano L. I. Oliveira Brazil 23 892 1.4× 318 0.6× 174 0.5× 226 0.8× 636 2.6× 120 2.3k
Zhisong Pan China 16 558 0.9× 287 0.5× 217 0.7× 227 0.8× 100 0.4× 123 1.1k
G. Sahoo India 25 684 1.1× 217 0.4× 149 0.4× 586 2.2× 434 1.8× 119 1.7k
Ka Fai Cedric Yiu Hong Kong 23 252 0.4× 238 0.5× 329 1.0× 176 0.7× 52 0.2× 172 2.2k
Md. Rafiul Hassan Saudi Arabia 18 634 1.0× 324 0.6× 148 0.4× 148 0.6× 105 0.4× 58 1.7k
Daniel Yeung China 21 1.0k 1.6× 700 1.3× 242 0.7× 311 1.2× 214 0.9× 135 2.0k
Yi Yao China 20 378 0.6× 559 1.1× 58 0.2× 323 1.2× 249 1.0× 142 1.6k

Countries citing papers authored by Patrick P. K. Chan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Patrick P. K. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick P. K. Chan. A scholar is included among the top collaborators of Patrick P. K. Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patrick P. K. Chan. Patrick P. K. Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chan, Patrick P. K., et al.. (2025). Real-world nighttime image dehazing using contrastive and adversarial learning. Pattern Recognition. 165. 111596–111596. 4 indexed citations
2.
Chan, Patrick P. K., et al.. (2024). Impact of bariatric surgery on cytochrome P 450 enzyme activity. Frontiers in Pharmacology. 15. 1372950–1372950. 1 indexed citations
3.
Chan, Patrick P. K., et al.. (2023). Multi-proxy based deep metric learning. Information Sciences. 643. 119120–119120. 5 indexed citations
4.
Chan, Patrick P. K., et al.. (2023). Learning Disentangled Features for Person Re-identification under Clothes Changing. ACM Transactions on Multimedia Computing Communications and Applications. 19(6). 1–21. 9 indexed citations
5.
Wang, Zhijun, et al.. (2023). Effects of bariatric surgery on drug pharmacokinetics—Preclinical studies. Frontiers in Pharmacology. 14. 1133415–1133415. 4 indexed citations
6.
Chan, Patrick P. K., et al.. (2022). Unsupervised Domain Adaptation for Gesture Identification Against Electrode Shift. IEEE Transactions on Human-Machine Systems. 52(6). 1271–1280. 10 indexed citations
7.
Liu, Weiwen, Yin Zhang, Jianling Wang, et al.. (2021). Item Relationship Graph Neural Networks for E-Commerce. IEEE Transactions on Neural Networks and Learning Systems. 33(9). 4785–4799. 47 indexed citations
8.
Thoren, Katie, et al.. (2019). Identification of gamma heavy chain disease using MALDI-TOF mass spectrometry. Clinical Biochemistry. 77. 57–61. 4 indexed citations
9.
Chan, Patrick P. K., et al.. (2018). Shilling attack based on item popularity and rated item correlation against collaborative filtering. International Journal of Machine Learning and Cybernetics. 10(7). 1833–1845. 20 indexed citations
10.
Chan, Patrick P. K., et al.. (2018). Shilling Attack Detection Using Rated Item Correlation for Collaborative Filtering. 3553–3558. 4 indexed citations
11.
Ng, Wing W. Y., et al.. (2015). Asymmetric Cyclical Hashing for Large Scale Image Retrieval. IEEE Transactions on Multimedia. 17(8). 1225–1235. 37 indexed citations
12.
Zhang, Fei, Patrick P. K. Chan, & Tianqi Tang. (2015). L-GEM based robust learning against poisoning attack. 24. 175–178. 2 indexed citations
13.
Ng, Wing W. Y., Zhimin He, Daniel Yeung, & Patrick P. K. Chan. (2014). Steganalysis classifier training via minimizing sensitivity for different imaging sources. Information Sciences. 281. 211–224. 15 indexed citations
14.
Wang, Xizhao, Witold Pedrycz, Patrick P. K. Chan, & Qiang He. (2014). Machine Learning and Cybernetics. Communications in computer and information science. 37 indexed citations
15.
16.
Ng, Wing W. Y., Zhimin He, Patrick P. K. Chan, & Daniel Yeung. (2011). Blind steganalysis with high generalization capability for different image databases using L-GEM. 1768. 1690–1695. 6 indexed citations
17.
Chan, Patrick P. K., Bingzhong Jing, Wing W. Y. Ng, & Daniel Yeung. (2011). Depth estimation from a single image using defocus cues. 16. 1732–1738. 14 indexed citations
18.
Ng, Wing W. Y., et al.. (2010). Empirical comparison of forward and backward search strategies in L-GEM based feature selection with RBFNN. 17. 1524–1527. 9 indexed citations
19.
Yeung, Daniel, et al.. (2007). Bankruptcy Prediction Using Multiple Intelligent Agent System via a Localized Generalization Error Approach. Digital Commons - Lingnan (Lingnan University). 1–6. 3 indexed citations
20.
Chan, Patrick P. K., et al.. (2006). Experimental Comparison Between Implicit and Explicit MCSs Construction Methods. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 2096. 2218–2221. 2 indexed citations

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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