Jun He
Impact in
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Computational Mathematics top 5%
Papers in
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- Context-Aware Activity Recognition Systems 16
- Advanced Neural Network Applications 5
- Advanced Image and Video Retrieval Techniques 5
- Human Pose and Action Recognition 5
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- Topic Modeling 7
- Anomaly Detection Techniques and Applications 7
- Co-authors
- Lei Zhang (17 shared papers)Fuhong Min (5 shared papers)Kun Wang (3 shared papers)Yin Tang (6 shared papers)Laura Balzano (3 shared papers)Qi Teng (5 shared papers)Hao Wu (13 shared papers)Arthur Szlam (1 shared paper)
- Journals
- IEEE Sensors Journal (6 papers)IEEE Transactions on Instrumentation and Measurement (3 papers)Knowledge-Based Systems (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)Multimedia Systems (1 paper)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Jun He
70 papers receiving 2.2k citations
Jun He's Hit Papers
Peers
Comparison fields: 5 of 136
- Computer Vision and Pattern Recognition 1.4k
- Computational Mathematics 20
- Artificial Intelligence 636
- Computer Networks and Communications 397
- Signal Processing 159
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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 263 | |
| 2 | 2019 | 171 | |
| 3 | Multiscale Deep Feature Learning for Human Activity Recognition Using Wearable Sensors Hit paper breakdown → | 2022 | 166 |
| 4 | 2021 | 151 | |
| 5 | 2020 | 136 | |
| 6 | 2020 | 122 | |
| 7 | 2018 | 116 | |
| 8 | 2012 | 100 | |
| 9 | 2021 | 99 | |
| 10 | 2022 | 92 | |
| 11 | 2021 | 86 | |
| 12 | 2022 | 63 | |
| 13 | 2018 | 50 | |
| 14 | 2014 | 49 | |
| 15 | 2014 | 44 | |
| 16 | 2012 | 42 | |
| 17 | 2022 | 42 | |
| 18 | 2021 | 41 | |
| 19 | 2021 | 38 | |
| 20 | 2014 | 37 |
About Jun He
Jun He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Biomedical Engineering and Information Systems, having authored 80 papers that have together received 2.3k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (16 papers), IoT and Edge/Fog Computing (10 papers), Non-Invasive Vital Sign Monitoring (8 papers), Topic Modeling (7 papers), Anomaly Detection Techniques and Applications (7 papers), Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Computational Mathematics (20 citations), Artificial Intelligence (636 citations), Computer Networks and Communications (397 citations) and Signal Processing (159 citations). Jun He has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Lei Zhang, Fuhong Min, Kun Wang, Yin Tang, Laura Balzano, Qi Teng, Hao Wu, Arthur Szlam, Wenbin Gao and Wenbo Huang. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Instrumentation and Measurement, Knowledge-Based Systems, IEEE Journal of Biomedical and Health Informatics and Multimedia Systems.
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.