Ju‐Sheng Mi
- Computational Theory and Mathematics top 0.05%
- Artificial Intelligence top 0.5%
- Information Systems top 0.5%
- Management Science and Operations Research top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Yee LeungWei-Zhi WuWen‐Xiu ZhangTao FengDegang ChenJinkun ChenXibei YangPingxin Wang
- Topics
- Rough Sets and Fuzzy Logic (94 papers)Data Mining Algorithms and Applications (38 papers)Multi-Criteria Decision Making (30 papers)
- Cited by
- Computational Theory and MathematicsManagement Science and Operations ResearchInformation Systems
- Partner nations
- ChinaHong KongKazakhstan
In The Last Decade
Ju‐Sheng Mi
100 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 84
- Computational Theory and Mathematics 2.8k
- Artificial Intelligence 1.5k
- Information Systems 1.2k
- Management Science and Operations Research 1.1k
- Computer Vision and Pattern Recognition 375
Countries citing papers authored by Ju‐Sheng Mi
This map shows the geographic impact of Ju‐Sheng Mi'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 Ju‐Sheng Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju‐Sheng Mi more than expected).
Fields of papers citing papers by Ju‐Sheng Mi
This network shows the impact of papers produced by Ju‐Sheng Mi. 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 Ju‐Sheng Mi. The network helps show where Ju‐Sheng Mi may publish in the future.
Co-authorship network of co-authors of Ju‐Sheng Mi
This figure shows the co-authorship network connecting the top 25 collaborators of Ju‐Sheng Mi. A scholar is included among the top collaborators of Ju‐Sheng Mi 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 Ju‐Sheng Mi. Ju‐Sheng Mi 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 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 31 | |
| 14 | 29 | |
| 15 | 49 | |
| 16 | 68 | |
| 17 | 118 | |
| 18 | 46 | |
| 19 | The Uncertainty Measure of the Generalized Fuzzy Rough Sets | 0 |
| 20 | Knowledge Reducts Based on Variable Precision Rough Set Theory | 4 |
About Ju‐Sheng Mi
Ju‐Sheng Mi is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Signal Processing, having authored 110 papers that have together received 3.3k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (94 papers), Data Mining Algorithms and Applications (38 papers) and Multi-Criteria Decision Making (30 papers). The work is most often cited by research in Computational Theory and Mathematics (2.8k citations), Management Science and Operations Research (1.1k citations) and Information Systems (1.2k citations). Ju‐Sheng Mi has collaborated with scholars based in China, Hong Kong and Kazakhstan. Frequent co-authors include Yee Leung, Wei-Zhi Wu, Wen‐Xiu Zhang, Tao Feng, Wei-Zhi Wu, Degang Chen, Jinkun Chen, Xibei Yang, Pingxin Wang and Yaojin Lin. Their work appears in journals such as Pattern Recognition, Information Sciences and IEEE Transactions on Fuzzy Systems.
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.