Cong Wu
Impact in
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- Human Pose and Action Recognition
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- biodegradable polymer synthesis and properties
Papers in
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- Human Pose and Action Recognition 13
- Multimodal Machine Learning Applications 4
- Video Surveillance and Tracking Methods 2
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- Anomaly Detection Techniques and Applications 11
- Co-authors
- Xiao‐Jun Wu (11 shared papers)J. Kittler (10 shared papers)Hongxia Zhang (2 shared papers)Bingyao Deng (2 shared papers)Qingsheng Liu (2 shared papers)Tianyang Xu (7 shared papers)D Z Chen (1 shared paper)Congxin Wu (1 shared paper)
- Journals
- IEEE Transactions on Circuits and Systems for Video Technology (2 papers)Journal of Applied Polymer Science (2 papers)Neural Networks (1 paper)IEEE Transactions on Multimedia (1 paper)Journal of Agricultural and Food Chemistry (1 paper)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Cong Wu
24 papers receiving 355 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 160
- Biomaterials 65
- Process Chemistry and Technology 12
- Human-Computer Interaction 23
- Artificial Intelligence 114
Countries citing papers authored by Cong Wu
This map shows the geographic impact of Cong Wu'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 Cong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Wu more than expected).
Fields of papers citing papers by Cong Wu
This network shows the impact of papers produced by Cong Wu. 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 Cong Wu. The network helps show where Cong Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Wu, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 56 | |
| 2 | 2008 | 52 | |
| 3 | 2019 | 50 | |
| 4 | 2015 | 38 | |
| 5 | 2013 | 30 | |
| 6 | 2023 | 28 | |
| 7 | 2011 | 23 | |
| 8 | 2024 | 13 | |
| 9 | 2024 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 7 | |
| 12 | 1992 | 6 | |
| 13 | 2011 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2025 | 2 |
About Cong Wu
Cong Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomaterials, Biomedical Engineering and Polymers and Plastics, having authored 24 papers that have together received 360 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (13 papers), Anomaly Detection Techniques and Applications (11 papers), Gait Recognition and Analysis (5 papers), Multimodal Machine Learning Applications (4 papers), Polymer crystallization and properties (3 papers), biodegradable polymer synthesis and properties (3 papers), Spectroscopy and Chemometric Analyses (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (160 citations), Biomaterials (65 citations), Process Chemistry and Technology (12 citations), Human-Computer Interaction (23 citations) and Artificial Intelligence (114 citations). Cong Wu has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Xiao‐Jun Wu, J. Kittler, Hongxia Zhang, Bingyao Deng, Qingsheng Liu, Tianyang Xu, D Z Chen, Congxin Wu, Qinghua Hu and Changzhong Wang. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Journal of Applied Polymer Science, Neural Networks, IEEE Transactions on Multimedia and Journal of Agricultural and Food Chemistry.
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.