Feng Zheng
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 1%
- Biomedical Engineering top 5%
- Aerospace Engineering top 5%
- Media Technology top 2%
- Topics
- Video Surveillance and Tracking Methods (36 papers)Advanced Image and Video Retrieval Techniques (28 papers)Human Pose and Action Recognition (26 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingExpert Systems with Applications
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Feng Zheng
126 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Computer Vision and Pattern Recognition 2.7k
- Artificial Intelligence 965
- Biomedical Engineering 524
- Aerospace Engineering 247
- Media Technology 217
Countries citing papers authored by Feng Zheng
This map shows the geographic impact of Feng Zheng'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 Feng Zheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Zheng more than expected).
Fields of papers citing papers by Feng Zheng
This network shows the impact of papers produced by Feng Zheng. 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 Feng Zheng. The network helps show where Feng Zheng may publish in the future.
Co-authorship network of co-authors of Feng Zheng
This figure shows the co-authorship network connecting the top 25 collaborators of Feng Zheng. A scholar is included among the top collaborators of Feng Zheng 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 Feng Zheng. Feng Zheng 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 | Video Understanding With Large Language Models: A Surveybreakdown → | 16 |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 15 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 25 | |
| 15 | 68 | |
| 16 | 55 | |
| 17 | 66 | |
| 18 | 172 | |
| 19 | A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training. | 8 |
| 20 | Learning cross-view binary identities for fast person re-identification | 35 |
About Feng Zheng
Feng Zheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, having authored 133 papers that have together received 3.6k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (36 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Human Pose and Action Recognition (26 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.7k citations), Artificial Intelligence (965 citations) and Human-Computer Interaction (142 citations). Feng Zheng has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Ling Shao, Zhan Song, Liang Wang, Hanxuan Yang, Rongrong Ji, Jinbao Wang, Jingkuan Song, Xinyang Jiang, Xing Sun and Cheng Deng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.
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.