Ran He
Impact in
- Signal Processing top 2%
- Blind Source Separation Techniques
- Speech and Audio Processing
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- Face and Expression Recognition
- Image and Signal Denoising Methods
- Face recognition and analysis
Papers in
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- Face and Expression Recognition 3
- Image and Signal Denoising Methods 3
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- Advanced Clustering Algorithms Research 1
- Co-authors
- Wei‐Shi Zheng (5 shared papers)Bao-Gang Hu (9 shared papers)Xiangwei Kong (2 shared papers)Tieniu Tan (1 shared paper)Zhenan Sun (1 shared paper)Xiao–Tong Yuan (4 shared papers)Liang Wang (1 shared paper)Yanqing Guo (1 shared paper)
- Journals
- Neurocomputing (1 paper)IEEE Transactions on Image Processing (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)National Science Review (1 paper)Journal of Materials Chemistry C (1 paper)
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Ran He
15 papers receiving 887 citations
Ran He's Hit Papers
Peers
Comparison fields: 5 of 99
- Signal Processing 274
- Computer Vision and Pattern Recognition 457
- Computational Mathematics 11
- Computational Mechanics 349
- Media Technology 110
Countries citing papers authored by Ran He
This map shows the geographic impact of Ran 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 Ran He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran He more than expected).
Fields of papers citing papers by Ran He
This network shows the impact of papers produced by Ran 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 Ran He. The network helps show where Ran He may publish in the future.
Co-authors
The 21 scholars most cited alongside Ran 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 | 2011 | 271 | |
| 2 | 2014 | 266 | |
| 3 | 2011 | 100 | |
| 4 | 2005 | 64 | |
| 5 | 2010 | 42 | |
| 6 | 2014 | 41 | |
| 7 | 2010 | 38 | |
| 8 | 2010 | 33 | |
| 9 | Generative artificial intelligence: a historical perspective Hit paper breakdown → | 2025 | 25 |
| 10 | 2024 | 6 | |
| 11 | 2012 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2016 | 3 |
About Ran He
Ran He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Signal Processing and Computational Theory and Mathematics, having authored 15 papers that have together received 907 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (4 papers), Face and Expression Recognition (3 papers), Blind Source Separation Techniques (3 papers), Image and Signal Denoising Methods (3 papers), Computability, Logic, AI Algorithms (2 papers), Advanced Clustering Algorithms Research (1 paper), Porphyrin and Phthalocyanine Chemistry (1 paper) and Benford’s Law and Fraud Detection (1 paper). The work is most often cited by research in Signal Processing (274 citations), Computer Vision and Pattern Recognition (457 citations), Computational Mathematics (11 citations), Computational Mechanics (349 citations) and Media Technology (110 citations). Ran He has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Wei‐Shi Zheng, Bao-Gang Hu, Xiangwei Kong, Tieniu Tan, Zhenan Sun, Xiao–Tong Yuan, Liang Wang, Yanqing Guo, Tieniu Tan and Jie Cao. Their work appears in journals such as Neurocomputing, IEEE Transactions on Image Processing, IEEE Transactions on Knowledge and Data Engineering, National Science Review and Journal of Materials Chemistry C.
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.