Chenxia Wu
Impact in
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- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Multimodal Machine Learning Applications
- Video Analysis and Summarization
Papers in
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- Advanced Image and Video Retrieval Techniques 7
- Image Retrieval and Classification Techniques 4
- Face and Expression Recognition 2
- Video Surveillance and Tracking Methods 2
- Multimodal Machine Learning Applications 2
- Human Pose and Action Recognition 2
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- Anomaly Detection Techniques and Applications 2
- Co-authors
- Ashutosh Saxena (3 shared papers)Silvio Savarese (2 shared papers)Jianke Zhu (6 shared papers)Jiajun Bu (3 shared papers)Deng Cai (4 shared papers)Chun Chen (3 shared papers)Ian Lenz (1 shared paper)Chen Ling (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Cybernetics (1 paper)Journal of Environmental Psychology (1 paper)IEEE Access (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Chenxia Wu
11 papers receiving 254 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 219
- Human-Computer Interaction 22
- Artificial Intelligence 79
- Signal Processing 13
- Geology 6
Countries citing papers authored by Chenxia Wu
This map shows the geographic impact of Chenxia 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 Chenxia Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenxia Wu more than expected).
Fields of papers citing papers by Chenxia Wu
This network shows the impact of papers produced by Chenxia 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 Chenxia Wu. The network helps show where Chenxia Wu may publish in the future.
Co-authors
The 23 scholars most cited alongside Chenxia 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 75 | |
| 2 | 2012 | 73 | |
| 3 | 2014 | 47 | |
| 4 | 2020 | 18 | |
| 5 | 2017 | 17 | |
| 6 | 2012 | 12 | |
| 7 | 2012 | 9 | |
| 8 | 2012 | 7 | |
| 9 | 2014 | 4 | |
| 10 | 2013 | 4 | |
| 11 | Bilevel visual words coding for image classification | 2013 | 2 |
| 12 | 2025 | 0 |
About Chenxia Wu
Chenxia Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering and Information Systems, having authored 12 papers that have together received 268 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Image Retrieval and Classification Techniques (4 papers), Face and Expression Recognition (2 papers), Video Surveillance and Tracking Methods (2 papers), Multimodal Machine Learning Applications (2 papers), Human Pose and Action Recognition (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Remote-Sensing Image Classification (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (219 citations), Human-Computer Interaction (22 citations), Artificial Intelligence (79 citations), Signal Processing (13 citations) and Geology (6 citations). Chenxia Wu has collaborated with scholars based in China and United States. Frequent co-authors include Ashutosh Saxena, Silvio Savarese, Jianke Zhu, Jiajun Bu, Deng Cai, Chun Chen, Ian Lenz, Chen Ling, Xu Yang and Tingting Qiao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Cybernetics, Journal of Environmental Psychology, IEEE Access and IEEE Transactions on Knowledge and Data Engineering.
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.