Feng Zheng
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- Video Surveillance and Tracking Methods 36
- Advanced Image and Video Retrieval Techniques 28
- Human Pose and Action Recognition 26
- Advanced Neural Network Applications 24
- Multimodal Machine Learning Applications 22
- Generative Adversarial Networks and Image Synthesis 13
- Artificial Intelligence top 1%
- Domain Adaptation and Few-Shot Learning 24
- Anomaly Detection Techniques and Applications 14
- Human-Computer Interaction top 2%
- Media Technology top 2%
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
- Human-Computer Interaction 142
- Media Technology 217
- Safety, Risk, Reliability and Quality 108
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
The 25 scholars most cited alongside Feng Zheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | Video Understanding With Large Language Models: A Surveybreakdown → | 2025 | 16 |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 7 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 25 | |
| 15 | 2022 | 68 | |
| 16 | 2022 | 55 | |
| 17 | 2021 | 66 | |
| 18 | 2020 | 172 | |
| 19 | A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training. | 2018 | 8 |
| 20 | Learning cross-view binary identities for fast person re-identification | 2016 | 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), Human Pose and Action Recognition (26 papers), Domain Adaptation and Few-Shot Learning (24 papers), Advanced Neural Network Applications (24 papers), Multimodal Machine Learning Applications (22 papers), Anomaly Detection Techniques and Applications (14 papers) and Generative Adversarial Networks and Image Synthesis (13 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.