Chao Fan
- Biomedical Engineering top 5%
- Computer Vision and Pattern Recognition top 2%
- Human-Computer Interaction top 1%
- Endocrinology, Diabetes and Metabolism top 10%
- Artificial Intelligence top 10%
- Topics
- Gait Recognition and Analysis (14 papers)Human Pose and Action Recognition (9 papers)Video Surveillance and Tracking Methods (7 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceExpert Systems with ApplicationsPattern Recognition
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chao Fan
40 papers receiving 793 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Biomedical Engineering 579
- Computer Vision and Pattern Recognition 497
- Human-Computer Interaction 240
- Endocrinology, Diabetes and Metabolism 143
- Artificial Intelligence 131
Countries citing papers authored by Chao Fan
This map shows the geographic impact of Chao Fan'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 Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Fan more than expected).
Fields of papers citing papers by Chao Fan
This network shows the impact of papers produced by Chao Fan. 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 Fan. The network helps show where Chao Fan may publish in the future.
Co-authorship network of co-authors of Chao Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Chao Fan. A scholar is included among the top collaborators of Chao Fan 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 Fan. Chao Fan 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 25 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 16 | |
| 18 | GaitPart: Temporal Part-Based Model for Gait Recognitionbreakdown → | 332 |
| 19 | A New Combinational Evaluation Method | 1 |
| 20 | 1 |
About Chao Fan
Chao Fan is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Health Informatics, having authored 49 papers that have together received 813 indexed citations. Recurring topics across this work include Gait Recognition and Analysis (14 papers), Human Pose and Action Recognition (9 papers) and Video Surveillance and Tracking Methods (7 papers). The work is most often cited by research in Human-Computer Interaction (240 citations), Computer Vision and Pattern Recognition (497 citations) and Biomedical Engineering (579 citations). Chao Fan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Saihui Hou, Yongzhen Huang, Chunshui Cao, Yunjie Peng, Jiannan Chi, Qing Li, Liu Xu, Zhiqiang He, Chuanfu Shen and Shiqi Yu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and Pattern Recognition.
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.