Jun He
Impact in
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- Emotion and Mood Recognition
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- Probabilistic and Robust Engineering Design
Papers in
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- Face and Expression Recognition 21
- Face recognition and analysis 20
- Human Pose and Action Recognition 17
- Video Surveillance and Tracking Methods 12
- Co-authors
- Bo Sun (57 shared papers)Lejun Yu (41 shared papers)Jinghai Gong (4 shared papers)Liandong Li (7 shared papers)Jie Li (2 shared papers)Hongyan Liu (7 shared papers)Shengbin Gao (1 shared paper)Zhaoxin Fan (4 shared papers)
- Journals
- Structural Safety (3 papers)Earthquake Engineering and Engineering Vibration (2 papers)Neurocomputing (2 papers)Neural Networks (2 papers)Natural Hazards (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jun He
154 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 135
- Experimental and Cognitive Psychology 413
- Statistics, Probability and Uncertainty 226
- Computer Vision and Pattern Recognition 553
- Human-Computer Interaction 100
- Signal Processing 155
Countries citing papers authored by Jun He
This map shows the geographic impact of Jun He'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 Jun He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun He more than expected).
Fields of papers citing papers by Jun He
This network shows the impact of papers produced by Jun He. 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 Jun He. The network helps show where Jun He may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun He, 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 174 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 80 | |
| 2 | 2020 | 77 | |
| 3 | 2002 | 71 | |
| 4 | 2023 | 64 | |
| 5 | 2022 | 59 | |
| 6 | 2016 | 57 | |
| 7 | 2017 | 54 | |
| 8 | 2010 | 52 | |
| 9 | 2016 | 43 | |
| 10 | 2021 | 42 | |
| 11 | 2017 | 38 | |
| 12 | 2015 | 37 | |
| 13 | 2018 | 35 | |
| 14 | 2015 | 35 | |
| 15 | 2016 | 32 | |
| 16 | 2017 | 30 | |
| 17 | 2017 | 28 | |
| 18 | 2017 | 28 | |
| 19 | 2014 | 27 | |
| 20 | 2012 | 27 |
About Jun He
Jun He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology, Signal Processing and Civil and Structural Engineering, having authored 174 papers that have together received 1.6k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (26 papers), Face and Expression Recognition (21 papers), Face recognition and analysis (20 papers), Human Pose and Action Recognition (17 papers), Probabilistic and Robust Engineering Design (13 papers), Video Surveillance and Tracking Methods (12 papers), Speech and Audio Processing (11 papers) and Music and Audio Processing (9 papers). The work is most often cited by research in Experimental and Cognitive Psychology (413 citations), Statistics, Probability and Uncertainty (226 citations), Computer Vision and Pattern Recognition (553 citations), Human-Computer Interaction (100 citations) and Signal Processing (155 citations). Jun He has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Bo Sun, Lejun Yu, Jinghai Gong, Liandong Li, Jie Li, Hongyan Liu, Shengbin Gao, Zhaoxin Fan, Xiaoyong Du and Xiaohua Yang. Their work appears in journals such as Structural Safety, Earthquake Engineering and Engineering Vibration, Neurocomputing, Neural Networks and Natural Hazards.
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.