Feng Han
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Functional Brain Connectivity Studies
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- Face recognition and analysis
- Face and Expression Recognition
Papers in
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- Neural Networks and Applications 8
- Anomaly Detection Techniques and Applications 7
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- Advanced Electrical Measurement Techniques 4
- Co-authors
- Yang Dan (4 shared papers)Frank Emmert‐Streib (1 shared paper)Shailesh Tripathi (1 shared paper)Zhen Yang (1 shared paper)Matthias Dehmer (1 shared paper)Natalia Caporale (1 shared paper)Yeong-Khing Ho (1 shared paper)Chin-Seng Chua (1 shared paper)
- Journals
- International Journal of Food Properties (4 papers)IEEE Transactions on Neural Networks and Learning Systems (3 papers)Foods (2 papers)Analysis and Applications (2 papers)Journal of Food Process Engineering (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Feng Han
116 papers receiving 1.8k citations
Feng Han's Hit Papers
Peers
Comparison fields: 5 of 185
- Cognitive Neuroscience 472
- Computer Vision and Pattern Recognition 278
- Cellular and Molecular Neuroscience 214
- Signal Processing 123
- Artificial Intelligence 295
Countries citing papers authored by Feng Han
This map shows the geographic impact of Feng Han'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 Feng Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Han more than expected).
Fields of papers citing papers by Feng Han
This network shows the impact of papers produced by Feng Han. 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 Feng Han. The network helps show where Feng Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Han, 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 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Introductory Review of Deep Learning for Prediction Models With Big Data Hit paper breakdown → | 2020 | 380 |
| 2 | 2008 | 185 | |
| 3 | 2002 | 182 | |
| 4 | 2005 | 124 | |
| 5 | 2007 | 93 | |
| 6 | Permutation Equivariant Graph Framelets for Heterophilous Graph Learning Hit paper breakdown → | 2024 | 90 |
| 7 | 2007 | 59 | |
| 8 | 2019 | 41 | |
| 9 | 2021 | 36 | |
| 10 | 2016 | 36 | |
| 11 | 2020 | 29 | |
| 12 | 2022 | 28 | |
| 13 | 2019 | 26 | |
| 14 | 2019 | 23 | |
| 15 | 2022 | 22 | |
| 16 | 2022 | 22 | |
| 17 | 2020 | 21 | |
| 18 | 2022 | 19 | |
| 19 | 2020 | 18 | |
| 20 | 2020 | 16 |
About Feng Han
Feng Han is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering and Mechanical Engineering, having authored 135 papers that have together received 1.9k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (10 papers), Neural Networks and Applications (8 papers), Food Drying and Modeling (7 papers), Anomaly Detection Techniques and Applications (7 papers), Advanced Numerical Analysis Techniques (7 papers), Mathematical Analysis and Transform Methods (5 papers), Advanced Electrical Measurement Techniques (4 papers) and Agricultural Engineering and Mechanization (4 papers). The work is most often cited by research in Cognitive Neuroscience (472 citations), Computer Vision and Pattern Recognition (278 citations), Cellular and Molecular Neuroscience (214 citations), Signal Processing (123 citations) and Artificial Intelligence (295 citations). Feng Han has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yang Dan, Frank Emmert‐Streib, Shailesh Tripathi, Zhen Yang, Matthias Dehmer, Natalia Caporale, Yeong-Khing Ho, Chin-Seng Chua, Wenfu Wu and Gidon Felsen. Their work appears in journals such as International Journal of Food Properties, IEEE Transactions on Neural Networks and Learning Systems, Foods, Analysis and Applications and Journal of Food Process Engineering.
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.