Ke Yan
- Molecular Biology top 10%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Media Technology top 2%
- Microbiology top 2%
- Topics
- Machine Learning in Bioinformatics (23 papers)RNA and protein synthesis mechanisms (12 papers)Protein Structure and Dynamics (10 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ke Yan
37 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 801
- Computer Vision and Pattern Recognition 601
- Artificial Intelligence 398
- Media Technology 177
- Microbiology 166
Countries citing papers authored by Ke Yan
This map shows the geographic impact of Ke Yan'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 Ke Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Yan more than expected).
Fields of papers citing papers by Ke Yan
This network shows the impact of papers produced by Ke Yan. 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 Ke Yan. The network helps show where Ke Yan may publish in the future.
Co-authorship network of co-authors of Ke Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Ke Yan. A scholar is included among the top collaborators of Ke Yan 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 Ke Yan. Ke Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 14 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 74 | |
| 8 | 28 | |
| 9 | sAMPpred-GAT: prediction of antimicrobial peptide by graph attention network and predicted peptide structurebreakdown → | 138 |
| 10 | 15 | |
| 11 | 49 | |
| 12 | 4 | |
| 13 | 12 | |
| 14 | 29 | |
| 15 | 128 | |
| 16 | 36 | |
| 17 | 2 | |
| 18 | 6 | |
| 19 | 3 | |
| 20 | 47 |
About Ke Yan
Ke Yan is a scholar working on Microbiology, Media Technology and Molecular Biology, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (23 papers), RNA and protein synthesis mechanisms (12 papers) and Protein Structure and Dynamics (10 papers). The work is most often cited by research in Computational Mathematics (30 citations), Computer Vision and Pattern Recognition (601 citations) and Microbiology (166 citations). Ke Yan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bin Liu, Jie Wen, Yong Xu, Lunke Fei, Xiaozhao Fang, Hongwu Lv, Yichen Guo, Chenchen Li, Jinrong Cui and Yan Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Analytical Biochemistry.
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.