Chao Tong
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Lianyong QiZonghua GuXiaolong XuShaohua WanJianwei NiuZhigao ZhengJoel J. P. C. RodriguesTingting Yang
- Topics
- Complex Network Analysis Techniques (10 papers)Opinion Dynamics and Social Influence (8 papers)Video Surveillance and Tracking Methods (4 papers)
In The Last Decade
Chao Tong
57 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 535
- Artificial Intelligence 343
- Computer Networks and Communications 209
- Electrical and Electronic Engineering 174
- Biomedical Engineering 167
Countries citing papers authored by Chao Tong
This map shows the geographic impact of Chao 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 Chao Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Tong more than expected).
Fields of papers citing papers by Chao Tong
This network shows the impact of papers produced by Chao 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 Chao Tong. The network helps show where Chao Tong may publish in the future.
Co-authorship network of co-authors of Chao Tong
This figure shows the co-authorship network connecting the top 25 collaborators of Chao Tong. A scholar is included among the top collaborators of Chao 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 Chao Tong. Chao 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 | 2 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 32 | |
| 11 | 6 | |
| 12 | 44 | |
| 13 | 27 | |
| 14 | 77 | |
| 15 | 40 | |
| 16 | 1 | |
| 17 | 10 | |
| 18 | Patterns and a generator of social networks: From the perspective of non-giant connected components | 1 |
| 19 | 2 | |
| 20 | Research and Implementation of Wireless Sensor Network Protocol Analyzer | 3 |
About Chao Tong
Chao Tong is a scholar working on Acoustics and Ultrasonics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Opinion Dynamics and Social Influence (8 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (535 citations), Health Informatics (15 citations) and Artificial Intelligence (343 citations). Chao Tong has collaborated with scholars based in China, Canada and Russia. Frequent co-authors include Lianyong Qi, Zonghua Gu, Xiaolong Xu, Shaohua Wan, Jianwei Niu, Zhigao Zheng, Joel J. P. C. Rodrigues, Tingting Yang, Xiang Yin and Xiang Long. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Vehicular Technology and Computer.
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.