Junfu Pu
Impact in
- Human-Computer Interaction top 0.5%
- Hand Gesture Recognition Systems
- Gaze Tracking and Assistive Technology
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- Hearing Impairment and Communication
Papers in
-
- Human Pose and Action Recognition 11
- Advanced Image and Video Retrieval Techniques 3
- Music Technology and Sound Studies 2
- Video Analysis and Summarization 2
- Multimodal Machine Learning Applications 2
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- Hand Gesture Recognition Systems 9
- Co-authors
- Houqiang Li (10 shared papers)Wengang Zhou (10 shared papers)Hezhen Hu (3 shared papers)Hao Zhou (1 shared paper)Weizhen Qi (1 shared paper)Chao Xie (1 shared paper)Liansheng Zhuang (1 shared paper)Hang Fang (1 shared paper)
- Journals
- IEEE Transactions on Multimedia (3 papers)arXiv (Cornell University) (1 paper)Proceedings of the 30th ACM International Conference on Multimedia (1 paper)
In The Last Decade
Junfu Pu
14 papers receiving 672 citations
Peers
Comparison fields: 5 of 26
- Human-Computer Interaction 646
- Developmental and Educational Psychology 431
- Computer Vision and Pattern Recognition 439
- Biomedical Engineering 279
- Cognitive Neuroscience 40
Countries citing papers authored by Junfu Pu
This map shows the geographic impact of Junfu Pu'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 Junfu Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfu Pu more than expected).
Fields of papers citing papers by Junfu Pu
This network shows the impact of papers produced by Junfu Pu. 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 Junfu Pu. The network helps show where Junfu Pu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junfu Pu, 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 | 2019 | 181 | |
| 2 | 2021 | 124 | |
| 3 | 2016 | 117 | |
| 4 | 2018 | 101 | |
| 5 | 2020 | 78 | |
| 6 | 2019 | 20 | |
| 7 | 2019 | 18 | |
| 8 | 2023 | 15 | |
| 9 | 2017 | 14 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2017 | 0 |
About Junfu Pu
Junfu Pu is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Developmental and Educational Psychology, Biomedical Engineering and Control and Systems Engineering, having authored 15 papers that have together received 692 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (11 papers), Hand Gesture Recognition Systems (9 papers), Hearing Impairment and Communication (7 papers), Advanced Image and Video Retrieval Techniques (3 papers), Gait Recognition and Analysis (3 papers), Music Technology and Sound Studies (2 papers), Video Analysis and Summarization (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Human-Computer Interaction (646 citations), Developmental and Educational Psychology (431 citations), Computer Vision and Pattern Recognition (439 citations), Biomedical Engineering (279 citations) and Cognitive Neuroscience (40 citations). Junfu Pu has collaborated with scholars based in China, Poland and Hong Kong. Frequent co-authors include Houqiang Li, Wengang Zhou, Hezhen Hu, Hao Zhou, Weizhen Qi, Chao Xie, Liansheng Zhuang, Hang Fang, Min Wang and Qi Tian. Their work appears in journals such as IEEE Transactions on Multimedia, arXiv (Cornell University) and Proceedings of the 30th ACM International Conference on Multimedia.
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.