Zhan Tong
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Human-Computer Interaction top 10%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Limin WangGangshan WuBin JiZhengming LiJian CaoJianxiong ZhangYang YangShijie Wang
- Topics
- Face and Expression Recognition (2 papers)Video Surveillance and Tracking Methods (2 papers)Human Pose and Action Recognition (2 papers)
- Journals
- Optik2021 IEEE/CVF International Conference on Computer Vision (ICCV)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
- Partner nations
- China
In The Last Decade
Zhan Tong
7 papers receiving 365 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 324
- Artificial Intelligence 187
- Biomedical Engineering 101
- Human-Computer Interaction 54
- Endocrinology, Diabetes and Metabolism 20
Countries citing papers authored by Zhan Tong
This map shows the geographic impact of Zhan 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 Zhan Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhan Tong more than expected).
Fields of papers citing papers by Zhan Tong
This network shows the impact of papers produced by Zhan 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 Zhan Tong. The network helps show where Zhan Tong may publish in the future.
Co-authorship network of co-authors of Zhan Tong
This figure shows the co-authorship network connecting the top 25 collaborators of Zhan Tong. A scholar is included among the top collaborators of Zhan 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 Zhan Tong. Zhan 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 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 49 | |
| 5 | TDN: Temporal Difference Networks for Efficient Action Recognitionbreakdown → | 310 |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 8 |
About Zhan Tong
Zhan Tong is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Experimental and Cognitive Psychology, having authored 8 papers that have together received 373 indexed citations. Recurring topics across this work include Face and Expression Recognition (2 papers), Video Surveillance and Tracking Methods (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (324 citations), Human-Computer Interaction (54 citations) and Artificial Intelligence (187 citations). Zhan Tong has collaborated with scholars based in China. Frequent co-authors include Limin Wang, Gangshan Wu, Bin Ji, Zhengming Li, Jian Cao, Jianxiong Zhang, Yang Yang, Shijie Wang, Yang Chen and Zhan Wu. Their work appears in journals such as Optik, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.