Zhihui Fei
Impact in
-
- Medical Coding and Health Information
- Artificial Intelligence top 5%
- Machine Learning in Healthcare
- Topic Modeling
Papers in
-
- Biomedical Text Mining and Ontologies 3
- Machine Learning in Bioinformatics 2
- Bioinformatics and Genomic Networks 2
-
- Topic Modeling 3
- Machine Learning in Healthcare 3
- Co-authors
- Min Li (9 shared papers)Jianxin Wang (7 shared papers)Fang‐Xiang Wu (8 shared papers)Min Zeng (6 shared papers)Yi Pan (5 shared papers)Yaohang Li (4 shared papers)Ying Yu (5 shared papers)Bo Huang (1 shared paper)
- Journals
- IEEE/ACM Transactions on Computational Biology and Bioinformatics (3 papers)Neurocomputing (2 papers)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Journal of Rural Studies (1 paper)BMC Systems Biology (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Zhihui Fei
11 papers receiving 484 citations
Peers
Comparison fields: 5 of 89
- Health Information Management 96
- Artificial Intelligence 208
- General Agricultural and Biological Sciences 35
- Molecular Biology 269
- Cancer Research 57
Countries citing papers authored by Zhihui Fei
This map shows the geographic impact of Zhihui Fei'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 Zhihui Fei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhihui Fei more than expected).
Fields of papers citing papers by Zhihui Fei
This network shows the impact of papers produced by Zhihui Fei. 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 Zhihui Fei. The network helps show where Zhihui Fei may publish in the future.
Co-authors
The 21 scholars most cited alongside Zhihui Fei, 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 | 2018 | 97 | |
| 2 | 2019 | 80 | |
| 3 | 2018 | 79 | |
| 4 | 2016 | 66 | |
| 5 | 2019 | 49 | |
| 6 | 2020 | 48 | |
| 7 | 2018 | 40 | |
| 8 | 2020 | 21 | |
| 9 | 2018 | 12 | |
| 10 | 2022 | 2 | |
| 11 | 2017 | 1 |
About Zhihui Fei
Zhihui Fei is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Pharmacology and Health Information Management, having authored 11 papers that have together received 495 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Biomedical Text Mining and Ontologies (3 papers), Topic Modeling (3 papers), Machine Learning in Healthcare (3 papers), Machine Learning in Bioinformatics (2 papers), Medical Coding and Health Information (2 papers), Bioinformatics and Genomic Networks (2 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Health Information Management (96 citations), Artificial Intelligence (208 citations), General Agricultural and Biological Sciences (35 citations), Molecular Biology (269 citations) and Cancer Research (57 citations). Zhihui Fei has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Min Li, Jianxin Wang, Fang‐Xiang Wu, Min Zeng, Yi Pan, Yaohang Li, Ying Yu, Bo Huang, Qun Wan and Haoying Li. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems, Journal of Rural Studies and BMC Systems Biology.
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.