Kaiyan Feng
- Molecular Biology top 5%
- Computational Theory and Mathematics top 1%
- Cancer Research top 10%
- Artificial Intelligence top 10%
- Infectious Diseases top 10%
- Topics
- Machine Learning in Bioinformatics (64 papers)Computational Drug Discovery Methods (28 papers)Protein Structure and Dynamics (22 papers)
- Journals
- PLoS ONEBiochemical and Biophysical Research CommunicationsInternational Journal of Molecular Sciences
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kaiyan Feng
115 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 155
- Molecular Biology 2.2k
- Computational Theory and Mathematics 586
- Cancer Research 201
- Artificial Intelligence 189
- Infectious Diseases 117
Countries citing papers authored by Kaiyan Feng
This map shows the geographic impact of Kaiyan Feng'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 Kaiyan Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiyan Feng more than expected).
Fields of papers citing papers by Kaiyan Feng
This network shows the impact of papers produced by Kaiyan Feng. 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 Kaiyan Feng. The network helps show where Kaiyan Feng may publish in the future.
Co-authorship network of co-authors of Kaiyan Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Kaiyan Feng. A scholar is included among the top collaborators of Kaiyan Feng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaiyan Feng. Kaiyan Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 20 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 16 | |
| 12 | 14 | |
| 13 | 12 | |
| 14 | 37 | |
| 15 | 22 | |
| 16 | 23 | |
| 17 | 29 | |
| 18 | 129 | |
| 19 | 26 | |
| 20 | 172 |
About Kaiyan Feng
Kaiyan Feng is a scholar working on Computational Theory and Mathematics, Molecular Biology and Cancer Research, having authored 120 papers that have together received 2.8k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (64 papers), Computational Drug Discovery Methods (28 papers) and Protein Structure and Dynamics (22 papers). The work is most often cited by research in Computational Theory and Mathematics (586 citations), Molecular Biology (2.2k citations) and Cancer Research (201 citations). Kaiyan Feng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yu‐Dong Cai, Lei Chen, Tao Huang, Kuo‐Chen Chou, Wencong Lu, Biqing Li, Le‐Le Hu, Yixue Li, Kuo‐Chen Chou and Xiangyin Kong. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.
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.