Dangwei Li
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Face recognition and analysis
- Multimodal Machine Learning Applications
Papers in
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- Video Surveillance and Tracking Methods 6
- Advanced Neural Network Applications 4
- Human Pose and Action Recognition 4
- Image Enhancement Techniques 2
- Face recognition and analysis 2
- Video Analysis and Summarization 1
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- Gait Recognition and Analysis 2
- Co-authors
- Xiaotang Chen (5 shared papers)Kaiqi Huang (5 shared papers)Zhang Zhang (4 shared papers)Houjing Huang (1 shared paper)Wenjie Yang (1 shared paper)Jianmin Wu (3 shared papers)Yun Zheng (3 shared papers)Siyang Sun (2 shared papers)
- Journals
- IEEE Transactions on Image Processing (1 paper)Proceedings of the 30th ACM International Conference on Multimedia (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Dangwei Li
9 papers receiving 626 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 607
- Safety, Risk, Reliability and Quality 52
- Artificial Intelligence 185
- Biomedical Engineering 136
- Ocean Engineering 47
Countries citing papers authored by Dangwei Li
This map shows the geographic impact of Dangwei Li'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 Dangwei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dangwei Li more than expected).
Fields of papers citing papers by Dangwei Li
This network shows the impact of papers produced by Dangwei Li. 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 Dangwei Li. The network helps show where Dangwei Li may publish in the future.
Co-authors
The 15 scholars most cited alongside Dangwei Li, 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 | 2018 | 222 | |
| 2 | 2015 | 173 | |
| 3 | 2018 | 126 | |
| 4 | 2018 | 91 | |
| 5 | 2022 | 12 | |
| 6 | 2020 | 9 | |
| 7 | 2019 | 4 | |
| 8 | 2021 | 2 | |
| 9 | 2022 | 1 |
About Dangwei Li
Dangwei Li is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Sociology and Political Science, Statistical and Nonlinear Physics and Signal Processing, having authored 9 papers that have together received 640 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Advanced Neural Network Applications (4 papers), Human Pose and Action Recognition (4 papers), Image Enhancement Techniques (2 papers), Face recognition and analysis (2 papers), Gait Recognition and Analysis (2 papers), Video Analysis and Summarization (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (607 citations), Safety, Risk, Reliability and Quality (52 citations), Artificial Intelligence (185 citations), Biomedical Engineering (136 citations) and Ocean Engineering (47 citations). Dangwei Li has collaborated with scholars based in China and United States. Frequent co-authors include Xiaotang Chen, Kaiqi Huang, Zhang Zhang, Houjing Huang, Wenjie Yang, Jianmin Wu, Yun Zheng, Siyang Sun, Liang Wang and Tieniu Tan. Their work appears in journals such as IEEE Transactions on Image Processing and Proceedings of the 30th ACM International Conference on Multimedia.
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.