Junwu Weng
Impact in
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
Papers in
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- Human Pose and Action Recognition 6
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- Anomaly Detection Techniques and Applications 5
- Machine Learning and Data Classification 1
- Co-authors
- Junsong Yuan (4 shared papers)Yujun Cai (1 shared paper)Liuhao Ge (1 shared paper)Chaoqun Weng (2 shared papers)Jue Wang (4 shared papers)Zicheng Liu (1 shared paper)Xudong Jiang (1 shared paper)Wei‐Long Zheng (1 shared paper)
- Journals
- IEEE Transactions on Circuits and Systems for Video Technology (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)University of Birmingham Research Portal (University of Birmingham) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Junwu Weng
9 papers receiving 407 citations
Peers
Comparison fields: 5 of 48
- Human-Computer Interaction 173
- Computer Vision and Pattern Recognition 361
- Control and Systems Engineering 110
- Artificial Intelligence 114
- Biomedical Engineering 105
Countries citing papers authored by Junwu Weng
This map shows the geographic impact of Junwu Weng'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 Junwu Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwu Weng more than expected).
Fields of papers citing papers by Junwu Weng
This network shows the impact of papers produced by Junwu Weng. 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 Junwu Weng. The network helps show where Junwu Weng may publish in the future.
Co-authors
The 25 scholars most cited alongside Junwu Weng, 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 | 2018 | 193 | |
| 2 | 2017 | 87 | |
| 3 | 2018 | 34 | |
| 4 | 2022 | 32 | |
| 5 | 2020 | 31 | |
| 6 | 2023 | 21 | |
| 7 | 2024 | 13 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 3 |
About Junwu Weng
Junwu Weng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Computational Mechanics and Biomedical Engineering, having authored 9 papers that have together received 420 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Anomaly Detection Techniques and Applications (5 papers), Human Motion and Animation (3 papers), Gait Recognition and Analysis (2 papers), Computer Graphics and Visualization Techniques (1 paper), Machine Learning and Data Classification (1 paper), 3D Shape Modeling and Analysis (1 paper) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Human-Computer Interaction (173 citations), Computer Vision and Pattern Recognition (361 citations), Control and Systems Engineering (110 citations), Artificial Intelligence (114 citations) and Biomedical Engineering (105 citations). Junwu Weng has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Junsong Yuan, Yujun Cai, Liuhao Ge, Chaoqun Weng, Jue Wang, Zicheng Liu, Xudong Jiang, Wei‐Long Zheng, Jiaxu Zhang and Tianyu Yang. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), University of Birmingham Research Portal (University of Birmingham) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.