Pong C. Yuen
- Computer Vision and Pattern Recognition top 0.05%
- Signal Processing top 0.2%
- Artificial Intelligence top 0.5%
- Biomedical Engineering top 5%
- Media Technology top 0.5%
- Topics
- Face and Expression Recognition (63 papers)Face recognition and analysis (51 papers)Biometric Identification and Security (37 papers)
- Journals
- BioinformaticsIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Industrial Electronics
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Pong C. Yuen
221 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Computer Vision and Pattern Recognition 6.6k
- Signal Processing 2.0k
- Artificial Intelligence 1.7k
- Biomedical Engineering 902
- Media Technology 800
Countries citing papers authored by Pong C. Yuen
This map shows the geographic impact of Pong C. Yuen'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 Pong C. Yuen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pong C. Yuen more than expected).
Fields of papers citing papers by Pong C. Yuen
This network shows the impact of papers produced by Pong C. Yuen. 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 Pong C. Yuen. The network helps show where Pong C. Yuen may publish in the future.
Co-authorship network of co-authors of Pong C. Yuen
This figure shows the co-authorship network connecting the top 25 collaborators of Pong C. Yuen. A scholar is included among the top collaborators of Pong C. Yuen 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 Pong C. Yuen. Pong C. Yuen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 22 | |
| 4 | 12 | |
| 5 | 38 | |
| 6 | 17 | |
| 7 | 39 | |
| 8 | 47 | |
| 9 | Federated Face Anti-spoofing. | 3 |
| 10 | 118 | |
| 11 | 131 | |
| 12 | 129 | |
| 13 | Face Image Reconstruction from Deep Templates. | 9 |
| 14 | On the Reconstruction of Deep Face Templates | 1 |
| 15 | Robust joint discriminative feature learning for visual tracking | 65 |
| 16 | 55 | |
| 17 | Ulcer detection in wireless capsule endoscopy images | 24 |
| 18 | 98 | |
| 19 | 156 | |
| 20 | Extraction of shoreline features by neural nets and image processing | 56 |
About Pong C. Yuen
Pong C. Yuen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 227 papers that have together received 8.7k indexed citations. Recurring topics across this work include Face and Expression Recognition (63 papers), Face recognition and analysis (51 papers) and Biometric Identification and Security (37 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.6k citations), Signal Processing (2.0k citations) and Media Technology (800 citations). Pong C. Yuen has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Xiangyuan Lan, Mang Ye, J. Andy, Jiawei Li, Guocan Feng, Jianhuang Lai, Rui Shao, Shengping Zhang, Shih‐Fu Chang and Rama Chellappa. Their work appears in journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Industrial Electronics.
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.