Sen He
Impact in
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- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Face recognition and analysis
Papers in
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- Advanced Neural Network Applications 6
- Generative Adversarial Networks and Image Synthesis 5
- Multimodal Machine Learning Applications 5
- Advanced Image and Video Retrieval Techniques 5
- Visual Attention and Saliency Detection 4
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- Cloud Computing and Resource Management 5
- Co-authors
- Tao Xiang (9 shared papers)Yi-Zhe Song (7 shared papers)Zhihe Lu (2 shared papers)Li Zhang (1 shared paper)Xiatian Zhu (1 shared paper)Tianyuan Yu (1 shared paper)Konstantinos Vougioukas (1 shared paper)Wei Wang (6 shared papers)
- Journals
- Energies (2 papers)IEEE Systems Journal (1 paper)Frontiers in Medicine (1 paper)Fire (1 paper)Sustainability (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Sen He
39 papers receiving 560 citations
Sen He's Hit Papers
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 341
- Computer Graphics and Computer-Aided Design 40
- Artificial Intelligence 210
- Software 21
- Media Technology 37
Countries citing papers authored by Sen He
This map shows the geographic impact of Sen 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 Sen He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen He more than expected).
Fields of papers citing papers by Sen He
This network shows the impact of papers produced by Sen 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 Sen He. The network helps show where Sen He may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 155 | |
| 2 | 2022 | 90 | |
| 3 | Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation Hit paper breakdown → | 2024 | 77 |
| 4 | 2022 | 54 | |
| 5 | 2019 | 43 | |
| 6 | 2018 | 18 | |
| 7 | 2023 | 17 | |
| 8 | 2024 | 14 | |
| 9 | 2022 | 12 | |
| 10 | 2020 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2019 | 7 | |
| 13 | 2025 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2018 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2019 | 4 | |
| 20 | 2021 | 4 |
About Sen He
Sen He is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture, having authored 49 papers that have together received 571 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Cloud Computing and Resource Management (5 papers), Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Visual Attention and Saliency Detection (4 papers) and Software System Performance and Reliability (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (341 citations), Computer Graphics and Computer-Aided Design (40 citations), Artificial Intelligence (210 citations), Software (21 citations) and Media Technology (37 citations). Sen He has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tao Xiang, Yi-Zhe Song, Zhihe Lu, Li Zhang, Xiatian Zhu, Tianyuan Yu, Konstantinos Vougioukas, Wei Wang, Maciej Zięba and Maja Pantić. Their work appears in journals such as Energies, IEEE Systems Journal, Frontiers in Medicine, Fire and Sustainability.
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.