Yang He
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Computational Mathematics top 5%
Papers in
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- Advanced Neural Network Applications 10
- Video Surveillance and Tracking Methods 4
- Human Pose and Action Recognition 3
- Visual Attention and Saliency Detection 3
- Advanced Image and Video Retrieval Techniques 3
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- Anomaly Detection Techniques and Applications 3
- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Yi Yang (6 shared papers)Ping Liu (4 shared papers)Ziwei Wang (2 shared papers)Zhilan Hu (1 shared paper)Linchao Zhu (2 shared papers)Yuhang Ding (1 shared paper)Hanwang Zhang (1 shared paper)Yanwei Fu (1 shared paper)
In The Last Decade
Yang He
44 papers receiving 1.7k citations
Yang He's Hit Papers
Peers
Comparison fields: 5 of 112
- Computer Vision and Pattern Recognition 1.1k
- Computational Mathematics 23
- Artificial Intelligence 952
- Computer Science Applications 65
- Signal Processing 92
Countries citing papers authored by Yang He
This map shows the geographic impact of Yang 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 Yang He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang He more than expected).
Fields of papers citing papers by Yang He
This network shows the impact of papers produced by Yang 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 Yang He. The network helps show where Yang He may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration Hit paper breakdown → | 2019 | 791 |
| 2 | 2020 | 165 | |
| 3 | Structured Pruning for Deep Convolutional Neural Networks: A Survey Hit paper breakdown → | 2023 | 145 |
| 4 | 2019 | 144 | |
| 5 | 2020 | 54 | |
| 6 | 2024 | 45 | |
| 7 | 2019 | 45 | |
| 8 | 2022 | 42 | |
| 9 | 2018 | 39 | |
| 10 | 2023 | 32 | |
| 11 | 2021 | 26 | |
| 12 | 2021 | 19 | |
| 13 | 2022 | 18 | |
| 14 | 2022 | 18 | |
| 15 | 2023 | 16 | |
| 16 | 2020 | 14 | |
| 17 | Pruning Filter via Geometric Median for Deep Convolutional Neural Networks Acceleration. | 2018 | 12 |
| 18 | 2020 | 12 | |
| 19 | 2014 | 11 | |
| 20 | 2020 | 11 |
About Yang He
Yang He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 47 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Recommender Systems and Techniques (5 papers), Video Surveillance and Tracking Methods (4 papers), Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (3 papers), Visual Attention and Saliency Detection (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Computational Mathematics (23 citations), Artificial Intelligence (952 citations), Computer Science Applications (65 citations) and Signal Processing (92 citations). Yang He has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Yi Yang, Ping Liu, Ziwei Wang, Zhilan Hu, Linchao Zhu, Yuhang Ding, Hanwang Zhang, Yanwei Fu, Chenggang Yan and Guoliang Kang. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, Geomechanics and Geoengineering, Journal of Computational Physics and IEEE Transactions 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.