Fei He
Impact in
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- Power System Reliability and Maintenance
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- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
Papers in
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- Machine Learning in Bioinformatics 14
- Biomedical Text Mining and Ontologies 8
- Protein Structure and Dynamics 7
- Fungal and yeast genetics research 6
- Genomics and Phylogenetic Studies 5
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- Face and Expression Recognition 5
- Co-authors
- Dong Xu (21 shared papers)Duolin Wang (8 shared papers)Gang Wang (1 shared paper)Xuemin Zhang (1 shared paper)Shengyu Wu (1 shared paper)Shengwei Mei (1 shared paper)Dongpeng Liu (2 shared papers)Jingyi Li (1 shared paper)
- Journals
- PLoS ONE (3 papers)IEEE Access (3 papers)Computational and Structural Biotechnology Journal (3 papers)Biomolecules (2 papers)BMC Genomics (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fei He
81 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 143
- Safety, Risk, Reliability and Quality 91
- Molecular Biology 546
- Signal Processing 84
- Cancer Research 65
- Computer Vision and Pattern Recognition 89
Countries citing papers authored by Fei He
This map shows the geographic impact of Fei 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 Fei He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei He more than expected).
Fields of papers citing papers by Fei He
This network shows the impact of papers produced by Fei 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 Fei He. The network helps show where Fei He may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 197 | |
| 2 | 2009 | 190 | |
| 3 | 2019 | 107 | |
| 4 | 2018 | 50 | |
| 5 | 2022 | 45 | |
| 6 | 2022 | 36 | |
| 7 | 2017 | 36 | |
| 8 | 2018 | 32 | |
| 9 | 2022 | 26 | |
| 10 | 2010 | 25 | |
| 11 | 2019 | 24 | |
| 12 | 2012 | 23 | |
| 13 | 2017 | 20 | |
| 14 | 2018 | 20 | |
| 15 | 2023 | 18 | |
| 16 | 2020 | 17 | |
| 17 | 2024 | 17 | |
| 18 | 2023 | 16 | |
| 19 | 2015 | 16 | |
| 20 | 2019 | 14 |
About Fei He
Fei He is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics and Signal Processing, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (14 papers), Computational Drug Discovery Methods (8 papers), Biomedical Text Mining and Ontologies (8 papers), Protein Structure and Dynamics (7 papers), Biometric Identification and Security (6 papers), Fungal and yeast genetics research (6 papers), Face and Expression Recognition (5 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (91 citations), Molecular Biology (546 citations), Signal Processing (84 citations), Cancer Research (65 citations) and Computer Vision and Pattern Recognition (89 citations). Fei He has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dong Xu, Duolin Wang, Gang Wang, Xuemin Zhang, Shengyu Wu, Shengwei Mei, Dongpeng Liu, Jingyi Li, Yuexu Jiang and Juexin Wang. Their work appears in journals such as PLoS ONE, IEEE Access, Computational and Structural Biotechnology Journal, Biomolecules and BMC Genomics.
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.