Suyun Zhao
- Computational Theory and Mathematics top 0.5%
- Artificial Intelligence top 5%
- Information Systems top 2%
- Management Science and Operations Research top 5%
- Computer Vision and Pattern Recognition top 10%
- Topics
- Rough Sets and Fuzzy Logic (16 papers)Data Mining Algorithms and Applications (12 papers)Privacy-Preserving Technologies in Data (7 papers)
- Cited by
- Computational Theory and MathematicsInformation SystemsManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceInformation Sciences
In The Last Decade
Suyun Zhao
31 papers receiving 880 citations
Peers
Comparison fields: 5 of 62
- Computational Theory and Mathematics 725
- Artificial Intelligence 465
- Information Systems 447
- Management Science and Operations Research 184
- Computer Vision and Pattern Recognition 136
Countries citing papers authored by Suyun Zhao
This map shows the geographic impact of Suyun Zhao'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 Suyun Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suyun Zhao more than expected).
Fields of papers citing papers by Suyun Zhao
This network shows the impact of papers produced by Suyun Zhao. 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 Suyun Zhao. The network helps show where Suyun Zhao may publish in the future.
Co-authorship network of co-authors of Suyun Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Suyun Zhao. A scholar is included among the top collaborators of Suyun Zhao 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 Suyun Zhao. Suyun Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 10 | |
| 9 | 10 | |
| 10 | 56 | |
| 11 | 21 | |
| 12 | 5 | |
| 13 | 58 | |
| 14 | 3 | |
| 15 | 163 | |
| 16 | 64 | |
| 17 | 2 | |
| 18 | 101 | |
| 19 | 2 | |
| 20 | 58 |
About Suyun Zhao
Suyun Zhao is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems, having authored 33 papers that have together received 906 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (16 papers), Data Mining Algorithms and Applications (12 papers) and Privacy-Preserving Technologies in Data (7 papers). The work is most often cited by research in Computational Theory and Mathematics (725 citations), Information Systems (447 citations) and Management Science and Operations Research (184 citations). Suyun Zhao has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Degang Chen, Eric C.C. Tsang, Cuiping Li, Xizhao Wang, Qinghua Hu, Pengfei Zhu, Lei Zhang, Hong Chen, Xiaoyong Du and Hong Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Information 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.