Yudong Chen
Impact in
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- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
Papers in
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- Advanced Image and Video Retrieval Techniques 10
- Face and Expression Recognition 8
- Video Surveillance and Tracking Methods 5
- Image Retrieval and Classification Techniques 5
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- Time Series Analysis and Forecasting 3
- Blind Source Separation Techniques 2
- Co-authors
- Zhihui Lai (6 shared papers)Wai Keung Wong (4 shared papers)Zhihui Lai (5 shared papers)Qinghua Hu (2 shared papers)Linlin Shen (3 shared papers)Jie Zhou (3 shared papers)Zhihui Lai (1 shared paper)Hailing Wang (2 shared papers)
In The Last Decade
Yudong Chen
28 papers receiving 388 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 254
- Computational Mathematics 3
- Media Technology 44
- Artificial Intelligence 93
- Computational Mechanics 54
Countries citing papers authored by Yudong Chen
This map shows the geographic impact of Yudong Chen'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 Yudong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yudong Chen more than expected).
Fields of papers citing papers by Yudong Chen
This network shows the impact of papers produced by Yudong Chen. 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 Yudong Chen. The network helps show where Yudong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yudong Chen, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 47 | |
| 2 | 2019 | 45 | |
| 3 | 2018 | 45 | |
| 4 | 2019 | 35 | |
| 5 | 2018 | 34 | |
| 6 | 2020 | 22 | |
| 7 | 2021 | 22 | |
| 8 | 2018 | 21 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 12 | |
| 11 | 2009 | 11 | |
| 12 | 2018 | 10 | |
| 13 | 2006 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2025 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2023 | 6 | |
| 18 | 2016 | 6 | |
| 19 | 2018 | 5 | |
| 20 | 2024 | 5 |
About Yudong Chen
Yudong Chen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computational Mechanics, Biomedical Engineering and Control and Systems Engineering, having authored 29 papers that have together received 391 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Face and Expression Recognition (8 papers), Sparse and Compressive Sensing Techniques (6 papers), Video Surveillance and Tracking Methods (5 papers), Image Retrieval and Classification Techniques (5 papers), Fault Detection and Control Systems (3 papers), Time Series Analysis and Forecasting (3 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (254 citations), Computational Mathematics (3 citations), Media Technology (44 citations), Artificial Intelligence (93 citations) and Computational Mechanics (54 citations). Yudong Chen has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Zhihui Lai, Wai Keung Wong, Zhihui Lai, Qinghua Hu, Linlin Shen, Jie Zhou, Zhihui Lai, Hailing Wang, Haitao Zhao and Yujuan Ding. Their work appears in journals such as IEEE Transactions on Multimedia, Neural Networks, Scientific Reports, Science China Information Sciences and Neurocomputing.
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.