Neng Dong
Impact in
-
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Face recognition and analysis
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
Papers in
-
- Video Surveillance and Tracking Methods 9
- Face recognition and analysis 4
- Advanced Image and Video Retrieval Techniques 3
- Multimodal Machine Learning Applications 3
- Human Pose and Action Recognition 2
-
- Gait Recognition and Analysis 2
- Co-authors
- Shuanglin Yan (7 shared papers)Jinhui Tang (6 shared papers)Liyan Zhang (3 shared papers)Dapeng Tao (2 shared papers)Guanqiu Qi (1 shared paper)Zhengtao Yu (1 shared paper)Huafeng Li (3 shared papers)Hao Tang (1 shared paper)
In The Last Decade
Neng Dong
8 papers receiving 310 citations
Neng Dong's Hit Papers
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 260
- Media Technology 17
- Biomedical Engineering 78
- Transportation 11
- Artificial Intelligence 49
Countries citing papers authored by Neng Dong
This map shows the geographic impact of Neng Dong'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 Neng Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neng Dong more than expected).
Fields of papers citing papers by Neng Dong
This network shows the impact of papers produced by Neng Dong. 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 Neng Dong. The network helps show where Neng Dong may publish in the future.
Co-authors
The 16 scholars most cited alongside Neng Dong, 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 | CLIP-Driven Fine-Grained Text-Image Person Re-Identification Hit paper breakdown → | 2023 | 130 |
| 2 | 2021 | 84 | |
| 3 | 2023 | 39 | |
| 4 | 2023 | 31 | |
| 5 | 2023 | 22 | |
| 6 | 2025 | 7 | |
| 7 | 2024 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 0 | |
| 10 | 2025 | 0 |
About Neng Dong
Neng Dong is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Ocean Engineering, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 10 papers that have together received 316 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Face recognition and analysis (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Multimodal Machine Learning Applications (3 papers), Gait Recognition and Analysis (2 papers), Human Pose and Action Recognition (2 papers), Fire Detection and Safety Systems (1 paper) and Automated Road and Building Extraction (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (260 citations), Media Technology (17 citations), Biomedical Engineering (78 citations), Transportation (11 citations) and Artificial Intelligence (49 citations). Neng Dong has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Shuanglin Yan, Jinhui Tang, Liyan Zhang, Dapeng Tao, Guanqiu Qi, Zhengtao Yu, Huafeng Li, Liyan Zhang, Hao Tang and Hao Tang. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Information Fusion, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia and IEEE Transactions on Information Forensics and Security.
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.