Ke Sun
Impact in
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- Advanced Image and Video Retrieval Techniques
Papers in
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- Integrated Energy Systems Optimization 7
- Advanced MEMS and NEMS Technologies 6
- Electric Power System Optimization 4
- Optimal Power Flow Distribution 4
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- Neural Networks and Applications 4
- Co-authors
- Frank Nielsen (6 shared papers)Xinxin Li (12 shared papers)Yinghui Li (2 shared papers)Heng Yang (9 shared papers)Jie Tang (2 shared papers)Dengqing Cao (2 shared papers)Zhijing Wu (1 shared paper)Yi Sun (1 shared paper)
In The Last Decade
Ke Sun
53 papers receiving 301 citations
Peers
Comparison fields: 5 of 92
- Energy Engineering and Power Technology 8
- Computer Vision and Pattern Recognition 51
- Control and Systems Engineering 44
- Electrical and Electronic Engineering 103
- Statistics and Probability 14
Countries citing papers authored by Ke Sun
This map shows the geographic impact of Ke Sun'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 Ke Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Sun more than expected).
Fields of papers citing papers by Ke Sun
This network shows the impact of papers produced by Ke Sun. 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 Ke Sun. The network helps show where Ke Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Sun, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 28 | |
| 2 | 2024 | 23 | |
| 3 | 2021 | 18 | |
| 4 | An Information Geometry of Statistical Manifold Learning | 2014 | 17 |
| 5 | 2023 | 16 | |
| 6 | 2023 | 14 | |
| 7 | 2021 | 13 | |
| 8 | 2024 | 13 | |
| 9 | 2024 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2025 | 7 | |
| 15 | 2023 | 6 | |
| 16 | Space-time local embeddings | 2015 | 6 |
| 17 | 2023 | 6 | |
| 18 | 2017 | 6 | |
| 19 | Relative fisher information and natural gradient for learning large modular models | 2017 | 5 |
| 20 | 2020 | 5 |
About Ke Sun
Ke Sun is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 64 papers that have together received 313 indexed citations. Recurring topics across this work include Integrated Energy Systems Optimization (7 papers), Advanced MEMS and NEMS Technologies (6 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Electric Power System Optimization (4 papers), Microgrid Control and Optimization (4 papers), Neural Networks and Applications (4 papers), Optimal Power Flow Distribution (4 papers) and Model Reduction and Neural Networks (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (8 citations), Computer Vision and Pattern Recognition (51 citations), Control and Systems Engineering (44 citations), Electrical and Electronic Engineering (103 citations) and Statistics and Probability (14 citations). Ke Sun has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Frank Nielsen, Xinxin Li, Yinghui Li, Heng Yang, Jie Tang, Dengqing Cao, Zhijing Wu, Yi Sun, Yifei Zhong and Jianzhong Chen. Their work appears in journals such as Energies, Journal of Micromechanics and Microengineering, Scientific Reports, Journal of Intelligent & Fuzzy Systems and Power System Technology.
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.