Chuming Lin
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Video Analysis and Summarization
- Advanced Image Processing Techniques
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
Papers in
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- Advanced Vision and Imaging 6
- Advanced Image Processing Techniques 4
- Human Pose and Action Recognition 3
- Advanced Image and Video Retrieval Techniques 3
- Video Surveillance and Tracking Methods 3
- Multimodal Machine Learning Applications 3
- Visual Attention and Saliency Detection 2
- Image Enhancement Techniques 1
- Co-authors
- Donghao Luo (5 shared papers)Ying Tai (4 shared papers)Chengjie Wang (4 shared papers)Jilin Li (2 shared papers)Yabiao Wang (2 shared papers)Feiyue Huang (2 shared papers)Weimin Tan (6 shared papers)Bo Yan (6 shared papers)
- Journals
- Neurocomputing (2 papers)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)IEEE Transactions on Broadcasting (1 paper)IEEE Transactions on Multimedia (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (3 papers)
- Partner nations
- China
In The Last Decade
Chuming Lin
13 papers receiving 467 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 451
- Artificial Intelligence 235
- Media Technology 40
- Biomedical Engineering 61
- Signal Processing 15
Countries citing papers authored by Chuming Lin
This map shows the geographic impact of Chuming Lin'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 Chuming Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuming Lin more than expected).
Fields of papers citing papers by Chuming Lin
This network shows the impact of papers produced by Chuming Lin. 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 Chuming Lin. The network helps show where Chuming Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chuming Lin, 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 | 2021 | 201 | |
| 2 | 2020 | 140 | |
| 3 | 2019 | 39 | |
| 4 | 2018 | 28 | |
| 5 | 2019 | 23 | |
| 6 | 2017 | 11 | |
| 7 | 2022 | 11 | |
| 8 | 2020 | 8 | |
| 9 | 2019 | 8 | |
| 10 | 2023 | 3 | |
| 11 | 2025 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2025 | 0 |
About Chuming Lin
Chuming Lin is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Control and Systems Engineering and Media Technology, having authored 14 papers that have together received 476 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Advanced Image Processing Techniques (4 papers), Human Pose and Action Recognition (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Video Surveillance and Tracking Methods (3 papers), Multimodal Machine Learning Applications (3 papers), Visual Attention and Saliency Detection (2 papers) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (451 citations), Artificial Intelligence (235 citations), Media Technology (40 citations), Biomedical Engineering (61 citations) and Signal Processing (15 citations). Chuming Lin has collaborated with scholars based in China. Frequent co-authors include Donghao Luo, Ying Tai, Chengjie Wang, Jilin Li, Yabiao Wang, Feiyue Huang, Weimin Tan, Bo Yan, Chengming Xu and Yanwei Fu. Their work appears in journals such as Neurocomputing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Broadcasting, IEEE Transactions on Multimedia and Proceedings of the AAAI Conference on Artificial Intelligence.
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.