Tong Chen
- Experimental and Cognitive Psychology top 2%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Cognitive Neuroscience top 10%
- Topics
- Emotion and Mood Recognition (21 papers)Face and Expression Recognition (11 papers)Non-Invasive Vital Sign Monitoring (10 papers)
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- PLoS ONENeuroImageScientific Reports
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Tong Chen
88 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 143
- Experimental and Cognitive Psychology 566
- Computer Vision and Pattern Recognition 555
- Artificial Intelligence 240
- Biomedical Engineering 167
- Cognitive Neuroscience 161
Countries citing papers authored by Tong Chen
This map shows the geographic impact of Tong Chen'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 Tong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tong Chen more than expected).
Fields of papers citing papers by Tong Chen
This network shows the impact of papers produced by Tong Chen. 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 Tong Chen. The network helps show where Tong Chen may publish in the future.
Co-authorship network of co-authors of Tong Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Tong Chen. A scholar is included among the top collaborators of Tong Chen 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 Tong Chen. Tong Chen 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 | 5 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 13 | |
| 12 | 26 | |
| 13 | 91 | |
| 14 | 9 | |
| 15 | 14 | |
| 16 | Research on efficiency of aviation emergency rescue under major disasters | 3 |
| 17 | 15 | |
| 18 | Optimal Lambert two-impulse transfer using genetic algorithm | 3 |
| 19 | Optimal Lambert transfer based on adaptive simulated annealing genetic algorithm | 0 |
| 20 | 24 |
About Tong Chen
Tong Chen is a scholar working on Experimental and Cognitive Psychology, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 102 papers that have together received 1.6k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (21 papers), Face and Expression Recognition (11 papers) and Non-Invasive Vital Sign Monitoring (10 papers). The work is most often cited by research in Experimental and Cognitive Psychology (566 citations), Computer Vision and Pattern Recognition (555 citations) and Human-Computer Interaction (145 citations). Tong Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Guangyuan Liu, Chongyang Wang, Min Peng, Shigang Li, Jianfeng Li, Xiaolan Fu, Zhihao Zhang, Min Peng, Zhan Wu and Ling Lei. Their work appears in journals such as PLoS ONE, NeuroImage and Scientific Reports.
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.