Ke Yuan
- Molecular Biology
- Cancer Research top 10%
- Artificial Intelligence top 10%
- Oncology
- Genetics
- Co-authors
- Florian MarkowetzNiko BeerenwinkelThomas SakoparnigDaqing WangLiangcai GaoMajd ZayzafoonDonald J. BuchsbaumZhi Tang
- Topics
- Mathematics, Computing, and Information Processing (9 papers)AI in cancer detection (5 papers)Genomics and Phylogenetic Studies (4 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Ke Yuan
41 papers receiving 601 citations
Peers
Comparison fields: 5 of 120
- Molecular Biology 254
- Cancer Research 162
- Artificial Intelligence 94
- Oncology 87
- Genetics 68
Countries citing papers authored by Ke Yuan
This map shows the geographic impact of Ke Yuan'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 Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Yuan more than expected).
Fields of papers citing papers by Ke Yuan
This network shows the impact of papers produced by Ke Yuan. 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 Yuan. The network helps show where Ke Yuan may publish in the future.
Co-authorship network of co-authors of Ke Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Ke Yuan. A scholar is included among the top collaborators of Ke Yuan 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 Yuan. Ke Yuan 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 24 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 35 | |
| 16 | 1 | |
| 17 | PathologyGAN: Learning Deep Representations of Cancer Tissue | 22 |
| 18 | 53 | |
| 19 | The Math Retrieval System of ICST for NTCIR-12 MathIR Task. | 7 |
| 20 | An Improved Method of Cleaved Amplified Polymorphic Sequence (CAPS) Markers in Arabidopsis thaliana | 1 |
About Ke Yuan
Ke Yuan is a scholar working on Health Informatics, Computational Theory and Mathematics and Artificial Intelligence, having authored 52 papers that have together received 615 indexed citations. Recurring topics across this work include Mathematics, Computing, and Information Processing (9 papers), AI in cancer detection (5 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Cancer Research (162 citations), Molecular Biology (254 citations) and Oncology (87 citations). Ke Yuan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Florian Markowetz, Niko Beerenwinkel, Thomas Sakoparnig, Daqing Wang, Liangcai Gao, Majd Zayzafoon, Donald J. Buchsbaum, Zhi Tang, G P Siegal and William E. Grizzle. Their work appears in journals such as Nature, Nature Communications and Nano Letters.
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.