Wanjun Chen
Impact in
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- Human Pose and Action Recognition
- Face and Expression Recognition
- Software top 10%
- Spreadsheets and End-User Computing
Papers in
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- Human Pose and Action Recognition 6
- Image Enhancement Techniques 2
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- Anomaly Detection Techniques and Applications 2
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Erhu Zhang (4 shared papers)Guangfeng Lin (5 shared papers)Guoliang Fan (1 shared paper)Yepang Liu (1 shared paper)Honghui Xu (1 shared paper)Shing-Chi Cheung (1 shared paper)Jianwei Zheng (1 shared paper)Chang Xu (1 shared paper)
In The Last Decade
Wanjun Chen
22 papers receiving 317 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 203
- Software 28
- Media Technology 49
- Human-Computer Interaction 25
- Artificial Intelligence 125
Countries citing papers authored by Wanjun Chen
This map shows the geographic impact of Wanjun 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 Wanjun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanjun Chen more than expected).
Fields of papers citing papers by Wanjun Chen
This network shows the impact of papers produced by Wanjun 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 Wanjun Chen. The network helps show where Wanjun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanjun 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 90 | |
| 2 | 2019 | 62 | |
| 3 | 2023 | 34 | |
| 4 | 2016 | 29 | |
| 5 | 2018 | 17 | |
| 6 | 2016 | 13 | |
| 7 | 2006 | 10 | |
| 8 | 2016 | 10 | |
| 9 | 2020 | 9 | |
| 10 | 2021 | 8 | |
| 11 | 2024 | 8 | |
| 12 | 2011 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2019 | 6 | |
| 15 | 2024 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2023 | 3 | |
| 19 | Clustering with Joint Laplacian Regularization and Adaptive Feature Learning | 2019 | 2 |
| 20 | 2018 | 2 |
About Wanjun Chen
Wanjun Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Biomedical Engineering and Computer Networks and Communications, having authored 23 papers that have together received 331 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Gait Recognition and Analysis (4 papers), Service-Oriented Architecture and Web Services (3 papers), Web Data Mining and Analysis (3 papers), Color Science and Applications (2 papers), Image Enhancement Techniques (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (203 citations), Software (28 citations), Media Technology (49 citations), Human-Computer Interaction (25 citations) and Artificial Intelligence (125 citations). Wanjun Chen has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Erhu Zhang, Guangfeng Lin, Guoliang Fan, Yepang Liu, Honghui Xu, Shing-Chi Cheung, Jianwei Zheng, Chang Xu, Yajun Chen and Erhu Zhang. Their work appears in journals such as Neurocomputing, Engineering Applications of Artificial Intelligence, IEEE Transactions on Geoscience and Remote Sensing, ACS Applied Nano Materials and IEEE Access.
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.