Feihong Wu
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
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- Computational Drug Discovery Methods
Papers in
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- Lung Cancer Diagnosis and Treatment 3
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- Machine Learning in Bioinformatics 4
- Protein Structure and Dynamics 3
- RNA and protein synthesis mechanisms 3
- Co-authors
- Vasant Honavar (5 shared papers)Drena Dobbs (5 shared papers)Changhui Yan (2 shared papers)Robert L. Jernigan (2 shared papers)Michael Terribilini (2 shared papers)Chuansheng Zheng (12 shared papers)Fan Yang (6 shared papers)Dingxi Liu (1 shared paper)
- Journals
- European Radiology (2 papers)Academic Radiology (1 paper)Engineering Applications of Artificial Intelligence (1 paper)BMC Bioinformatics (1 paper)Journal of Vascular Surgery (1 paper)
- Partner nations
- ChinaUnited StatesQatar
In The Last Decade
Feihong Wu
26 papers receiving 409 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 238
- Computational Theory and Mathematics 49
- Health Informatics 4
- Geriatrics and Gerontology 8
- Radiology, Nuclear Medicine and Imaging 46
Countries citing papers authored by Feihong Wu
This map shows the geographic impact of Feihong Wu'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 Feihong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feihong Wu more than expected).
Fields of papers citing papers by Feihong Wu
This network shows the impact of papers produced by Feihong Wu. 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 Feihong Wu. The network helps show where Feihong Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Feihong Wu, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 122 | |
| 2 | 2006 | 121 | |
| 3 | 2020 | 24 | |
| 4 | 2021 | 17 | |
| 5 | 2022 | 15 | |
| 6 | 2015 | 15 | |
| 7 | 2021 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2020 | 12 | |
| 10 | 2006 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2007 | 5 | |
| 15 | 2016 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2024 | 3 | |
| 18 | 2007 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2022 | 2 |
About Feihong Wu
Feihong Wu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Physiology, Neurology and Infectious Diseases, having authored 28 papers that have together received 414 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (4 papers), Nutrition and Health in Aging (4 papers), Long-Term Effects of COVID-19 (3 papers), Protein Structure and Dynamics (3 papers), COVID-19 Clinical Research Studies (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), RNA and protein synthesis mechanisms (3 papers) and Frailty in Older Adults (3 papers). The work is most often cited by research in Molecular Biology (238 citations), Computational Theory and Mathematics (49 citations), Health Informatics (4 citations), Geriatrics and Gerontology (8 citations) and Radiology, Nuclear Medicine and Imaging (46 citations). Feihong Wu has collaborated with scholars based in China, United States and Qatar. Frequent co-authors include Vasant Honavar, Drena Dobbs, Changhui Yan, Robert L. Jernigan, Michael Terribilini, Chuansheng Zheng, Fan Yang, Dingxi Liu, Xiangchuang Kong and Wenjun Wu. Their work appears in journals such as European Radiology, Academic Radiology, Engineering Applications of Artificial Intelligence, BMC Bioinformatics and Journal of Vascular Surgery.
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.