Yan Tong
- Computer Vision and Pattern Recognition top 0.5%
- Experimental and Cognitive Psychology top 1%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Human-Computer Interaction top 2%
- Topics
- Face and Expression Recognition (20 papers)Face recognition and analysis (17 papers)Emotion and Mood Recognition (15 papers)
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceNeuroImage
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yan Tong
76 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Computer Vision and Pattern Recognition 1.3k
- Experimental and Cognitive Psychology 1.0k
- Artificial Intelligence 299
- Signal Processing 213
- Human-Computer Interaction 176
Countries citing papers authored by Yan Tong
This map shows the geographic impact of Yan Tong'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 Yan Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Tong more than expected).
Fields of papers citing papers by Yan Tong
This network shows the impact of papers produced by Yan Tong. 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 Yan Tong. The network helps show where Yan Tong may publish in the future.
Co-authorship network of co-authors of Yan Tong
This figure shows the co-authorship network connecting the top 25 collaborators of Yan Tong. A scholar is included among the top collaborators of Yan Tong 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 Yan Tong. Yan Tong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 14 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 17 | |
| 13 | 7 | |
| 14 | 4 | |
| 15 | Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition | 40 |
| 16 | 41 | |
| 17 | 108 | |
| 18 | 270 | |
| 19 | 11 | |
| 20 | 23 |
About Yan Tong
Yan Tong is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Signal Processing, having authored 84 papers that have together received 1.9k indexed citations. Recurring topics across this work include Face and Expression Recognition (20 papers), Face recognition and analysis (17 papers) and Emotion and Mood Recognition (15 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.0k citations), Computer Vision and Pattern Recognition (1.3k citations) and Human-Computer Interaction (176 citations). Yan Tong has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Zibo Meng, Ping Liu, Qiang Ji, Shizhong Han, Wenhui Liao, Jie Cai, Shizhong Han, Jixu Chen, Qiang Ji and Frederick W. Wheeler. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.
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.