Su He
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- Quantum chaos and dynamical systems 7
- Nonlinear Waves and Solitons 3
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- Advanced Neural Network Applications 2
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- Quantum Mechanics and Non-Hermitian Physics 11
- Media Technology top 5%
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- Spectral Theory in Mathematical Physics 2
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- Domain Adaptation and Few-Shot Learning 2
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- Coal Combustion and Slurry Processing 2
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- Spectroscopy and Chemometric Analyses 2
- Co-authors
- Chun‐Sheng JiaMingzhu LuoGuozhong ZhangJianming ZhanZhijie HuangYing XuTao ChenChunfei Wu
- Cited by
- Statistical and Nonlinear PhysicsComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Journals
- Journal of Physics A Mathematical and Theoretical (2 papers)Image and Vision Computing (1 paper)Journal of the Energy Institute (1 paper)
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Su He
29 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Statistical and Nonlinear Physics 298
- Computer Vision and Pattern Recognition 367
- Industrial and Manufacturing Engineering 129
- Atomic and Molecular Physics, and Optics 363
- Media Technology 79
Countries citing papers authored by Su He
This map shows the geographic impact of Su 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 Su He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su He more than expected).
Fields of papers citing papers by Su He
This network shows the impact of papers produced by Su 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 Su He. The network helps show where Su He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Su 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 13 | |
| 5 | 2024 | 0 | |
| 6 | Efficient Multi-Scale Attention Module with Cross-Spatial Learningbreakdown → | 2023 | 718 |
| 7 | 2022 | 1 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 57 | |
| 10 | 2022 | 8 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 29 | |
| 14 | 2017 | 0 | |
| 15 | 2016 | 8 | |
| 16 | 2013 | 38 | |
| 17 | 2010 | 64 | |
| 18 | 2008 | 91 | |
| 19 | 2008 | 18 | |
| 20 | 2000 | 44 |
About Su He
Su He is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Ecological Modeling, Mathematical Physics and Analytical Chemistry, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quantum Mechanics and Non-Hermitian Physics (11 papers), Quantum chaos and dynamical systems (7 papers), Nonlinear Waves and Solitons (3 papers), Spectral Theory in Mathematical Physics (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Coal Combustion and Slurry Processing (2 papers), Advanced Neural Network Applications (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (298 citations), Computer Vision and Pattern Recognition (367 citations), Industrial and Manufacturing Engineering (129 citations), Atomic and Molecular Physics, and Optics (363 citations) and Media Technology (79 citations). Su He has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Chun‐Sheng Jia, Mingzhu Luo, Guozhong Zhang, Jianming Zhan, Zhijie Huang, Ying Xu, Tao Chen, Chunfei Wu, Yu Sun and Shuzhuang Sun. Their work appears in journals such as Journal of Physics A Mathematical and Theoretical, Image and Vision Computing, Journal of the Energy Institute, Energies and Foods.
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.