Suohai Fan
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Sociology and Political Science top 10%
- Genetics
- Electrical and Electronic Engineering
- Co-authors
- Li MaHong‐Jian LaiLu ChenYe ChenCong LiChang‐Dong WangLing HuangPhilip S. Yu
- Topics
- Evolutionary Game Theory and Cooperation (21 papers)Evolution and Genetic Dynamics (12 papers)Rings, Modules, and Algebras (8 papers)
- Cited by
- Discrete Mathematics and CombinatoricsComputational Theory and MathematicsArtificial Intelligence
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Suohai Fan
52 papers receiving 728 citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 241
- Computational Theory and Mathematics 207
- Sociology and Political Science 201
- Genetics 105
- Electrical and Electronic Engineering 91
Countries citing papers authored by Suohai Fan
This map shows the geographic impact of Suohai Fan'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 Suohai Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suohai Fan more than expected).
Fields of papers citing papers by Suohai Fan
This network shows the impact of papers produced by Suohai Fan. 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 Suohai Fan. The network helps show where Suohai Fan may publish in the future.
Co-authorship network of co-authors of Suohai Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Suohai Fan. A scholar is included among the top collaborators of Suohai Fan 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 Suohai Fan. Suohai Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 15 | |
| 6 | 31 | |
| 7 | 20 | |
| 8 | 172 | |
| 9 | Improved DBSCAN clustering algorithm based on dynamic neighbor | 2 |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 19 | |
| 14 | 6 | |
| 15 | 24 | |
| 16 | A New Image Digital Watermarking Algorithm Based on SVD | 0 |
| 17 | 1 | |
| 18 | Some results on weakly distance-transitive graphs | 1 |
| 19 | 40 | |
| 20 | 2 |
About Suohai Fan
Suohai Fan is a scholar working on Discrete Mathematics and Combinatorics, Algebra and Number Theory and Computational Theory and Mathematics, having authored 53 papers that have together received 752 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (21 papers), Evolution and Genetic Dynamics (12 papers) and Rings, Modules, and Algebras (8 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (75 citations), Computational Theory and Mathematics (207 citations) and Artificial Intelligence (241 citations). Suohai Fan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Li Ma, Hong‐Jian Lai, Lu Chen, Ye Chen, Cong Li, Chang‐Dong Wang, Ling Huang, Philip S. Yu, Zhiqi Lin and Run‐Zhu Fan. Their work appears in journals such as BMC Bioinformatics, IEEE Transactions on Cybernetics and Applied Soft Computing.
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.