Jun-Yan He
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Gastroenterology top 10%
- Gastrointestinal Bleeding Diagnosis and Treatment
Papers in
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- Human Pose and Action Recognition 4
- Multimodal Machine Learning Applications 3
- Video Surveillance and Tracking Methods 3
- Advanced Neural Network Applications 2
- Generative Adversarial Networks and Image Synthesis 2
- Advanced Image and Video Retrieval Techniques 2
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- Anomaly Detection Techniques and Applications 4
- Co-authors
- Xiao Wu (11 shared papers)Yu–Gang Jiang (3 shared papers)Qiang Peng (5 shared papers)Zhi-Qi Cheng (8 shared papers)Ramesh Jain (1 shared paper)Bo Zhao (3 shared papers)Qi Dai (2 shared papers)Jun-Xiu Li (1 shared paper)
- Journals
- Neurocomputing (3 papers)IEEE Transactions on Image Processing (2 papers)IEEE Transactions on Multimedia (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Pattern Recognition (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun-Yan He
15 papers receiving 463 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 316
- Gastroenterology 65
- Artificial Intelligence 155
- Human-Computer Interaction 22
- Safety, Risk, Reliability and Quality 28
Countries citing papers authored by Jun-Yan He
This map shows the geographic impact of Jun-Yan 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-Yan 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-Yan He more than expected).
Fields of papers citing papers by Jun-Yan He
This network shows the impact of papers produced by Jun-Yan 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-Yan He. The network helps show where Jun-Yan He may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-Yan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 112 | |
| 2 | 2020 | 98 | |
| 3 | 2019 | 67 | |
| 4 | 2015 | 41 | |
| 5 | 2019 | 32 | |
| 6 | 2021 | 30 | |
| 7 | 2023 | 22 | |
| 8 | 2017 | 21 | |
| 9 | 2019 | 19 | |
| 10 | 2023 | 15 | |
| 11 | 2020 | 11 | |
| 12 | 2021 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Jun-Yan He
Jun-Yan He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Civil and Structural Engineering and Safety, Risk, Reliability and Quality, having authored 18 papers that have together received 479 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Anomaly Detection Techniques and Applications (4 papers), Multimodal Machine Learning Applications (3 papers), Video Surveillance and Tracking Methods (3 papers), Advanced Neural Network Applications (2 papers), Hand Gesture Recognition Systems (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (316 citations), Gastroenterology (65 citations), Artificial Intelligence (155 citations), Human-Computer Interaction (22 citations) and Safety, Risk, Reliability and Quality (28 citations). Jun-Yan He has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiao Wu, Yu–Gang Jiang, Qiang Peng, Zhi-Qi Cheng, Ramesh Jain, Bo Zhao, Qi Dai, Jun-Xiu Li, Alexander G. Hauptmann and Chong‐Wah Ngo. Their work appears in journals such as Neurocomputing, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, IEEE Transactions on Intelligent Transportation Systems and Pattern Recognition.
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.