Yuwu Lu
Impact in
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- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Face recognition and analysis
- Image Retrieval and Classification Techniques
- Computational Mathematics top 5%
Papers in
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- Face and Expression Recognition 25
- Multimodal Machine Learning Applications 8
- Advanced Image and Video Retrieval Techniques 7
- Image Retrieval and Classification Techniques 6
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- Domain Adaptation and Few-Shot Learning 27
- Machine Learning and ELM 12
- Co-authors
- Zhihui Lai (28 shared papers)Yong Xu (5 shared papers)Chun Yuan (11 shared papers)Wai Keung Wong (18 shared papers)Xuelong Li (6 shared papers)David Zhang (7 shared papers)Xuelong Li (17 shared papers)Zhihui Lai (4 shared papers)
In The Last Decade
Yuwu Lu
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 832
- Computational Mathematics 23
- Media Technology 244
- Computational Mechanics 288
- Artificial Intelligence 401
Countries citing papers authored by Yuwu Lu
This map shows the geographic impact of Yuwu Lu'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 Yuwu Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuwu Lu more than expected).
Fields of papers citing papers by Yuwu Lu
This network shows the impact of papers produced by Yuwu Lu. 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 Yuwu Lu. The network helps show where Yuwu Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuwu Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 138 | |
| 2 | 2012 | 131 | |
| 3 | 2017 | 117 | |
| 4 | 2018 | 71 | |
| 5 | 2015 | 62 | |
| 6 | 2021 | 55 | |
| 7 | 2018 | 54 | |
| 8 | 2016 | 50 | |
| 9 | 2015 | 34 | |
| 10 | 2020 | 32 | |
| 11 | 2017 | 28 | |
| 12 | 2023 | 27 | |
| 13 | 2022 | 26 | |
| 14 | 2016 | 25 | |
| 15 | 2018 | 24 | |
| 16 | 2023 | 23 | |
| 17 | 2018 | 21 | |
| 18 | 2019 | 18 | |
| 19 | 2024 | 18 | |
| 20 | 2023 | 16 |
About Yuwu Lu
Yuwu Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computational Mechanics and Analytical Chemistry, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (27 papers), Face and Expression Recognition (25 papers), Remote-Sensing Image Classification (13 papers), Machine Learning and ELM (12 papers), Sparse and Compressive Sensing Techniques (10 papers), Multimodal Machine Learning Applications (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Image Retrieval and Classification Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (832 citations), Computational Mathematics (23 citations), Media Technology (244 citations), Computational Mechanics (288 citations) and Artificial Intelligence (401 citations). Yuwu Lu has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Zhihui Lai, Yong Xu, Chun Yuan, Wai Keung Wong, Xuelong Li, David Zhang, Xuelong Li, Zhihui Lai, Xiaozhao Fang and Jiajun Wen. Their work appears in journals such as IEEE Transactions on Multimedia, Pattern Recognition, IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Cybernetics.
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.