Lumin Xu
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
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- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 4
- Video Surveillance and Tracking Methods 3
- Advanced Image and Video Retrieval Techniques 3
- Multimodal Machine Learning Applications 1
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- Image Processing Techniques and Applications 2
- Co-authors
- Sheng Jin (4 shared papers)Ping Luo (4 shared papers)Wentao Liu (3 shared papers)Chen Qian (3 shared papers)Xiaogang Wang (2 shared papers)Wanli Ouyang (3 shared papers)Yingwei Zhang (1 shared paper)Yiqiang Chen (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)International Journal of Computer Vision (1 paper)Security and Communication Networks (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)
In The Last Decade
Lumin Xu
9 papers receiving 89 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 66
- Human-Computer Interaction 14
- Artificial Intelligence 22
- Media Technology 5
- Signal Processing 5
Countries citing papers authored by Lumin Xu
This map shows the geographic impact of Lumin Xu'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 Lumin Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lumin Xu more than expected).
Fields of papers citing papers by Lumin Xu
This network shows the impact of papers produced by Lumin Xu. 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 Lumin Xu. The network helps show where Lumin Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lumin Xu, 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 | 39 | |
| 2 | 2022 | 19 | |
| 3 | 2025 | 8 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 4 | |
| 7 | 2017 | 4 | |
| 8 | 2020 | 3 | |
| 9 | 2025 | 1 |
About Lumin Xu
Lumin Xu is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Biomedical Engineering, Signal Processing and Hardware and Architecture, having authored 9 papers that have together received 90 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Video Surveillance and Tracking Methods (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Image Processing Techniques and Applications (2 papers), Gait Recognition and Analysis (2 papers), Advanced Malware Detection Techniques (1 paper), Multimodal Machine Learning Applications (1 paper) and Physical Unclonable Functions (PUFs) and Hardware Security (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (66 citations), Human-Computer Interaction (14 citations), Artificial Intelligence (22 citations), Media Technology (5 citations) and Signal Processing (5 citations). Lumin Xu has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Sheng Jin, Ping Luo, Wentao Liu, Chen Qian, Xiaogang Wang, Wanli Ouyang, Yingwei Zhang, Yiqiang Chen, Sheng Jin and Shenqi Lai. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Security and Communication Networks 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.