Ju‐Sheng Mi

4.4k total citations
110 papers, 3.3k citations indexed

About

Ju‐Sheng Mi is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Ju‐Sheng Mi has authored 110 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Computational Theory and Mathematics, 52 papers in Artificial Intelligence and 40 papers in Information Systems. Recurrent topics in Ju‐Sheng Mi's work include Rough Sets and Fuzzy Logic (94 papers), Data Mining Algorithms and Applications (38 papers) and Multi-Criteria Decision Making (30 papers). Ju‐Sheng Mi is often cited by papers focused on Rough Sets and Fuzzy Logic (94 papers), Data Mining Algorithms and Applications (38 papers) and Multi-Criteria Decision Making (30 papers). Ju‐Sheng Mi collaborates with scholars based in China, Hong Kong and Kazakhstan. Ju‐Sheng Mi's 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 and has published in prestigious journals such as Pattern Recognition, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Ju‐Sheng Mi

100 papers receiving 3.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ju‐Sheng Mi China	30	2.8k	1.5k	1.2k	1.1k	375	110	3.3k
Xibei Yang China	38	3.1k 1.1×	2.1k 1.4×	1.6k 1.2×	978 0.9×	716 1.9×	192	4.4k
Wei-Zhi Wu China	32	3.4k 1.2×	1.4k 1.0×	1.4k 1.2×	1.5k 1.4×	350 0.9×	92	3.7k
Jinhai Li China	32	3.0k 1.1×	2.0k 1.4×	1.4k 1.1×	842 0.8×	519 1.4×	128	3.7k
Wen‐Xiu Zhang China	31	3.1k 1.1×	1.3k 0.9×	1.3k 1.0×	1.4k 1.3×	253 0.7×	104	3.5k
Mingwen Shao China	26	1.6k 0.6×	1.1k 0.7×	891 0.7×	458 0.4×	750 2.0×	147	2.5k
Bao Qing Hu China	35	2.6k 0.9×	1.0k 0.7×	710 0.6×	1.9k 1.7×	173 0.5×	123	3.4k
Dominik Ślȩzak Poland	22	999 0.4×	814 0.6×	743 0.6×	375 0.3×	196 0.5×	136	1.8k
Degang Chen China	46	6.3k 2.3×	3.4k 2.3×	3.2k 2.6×	2.2k 2.0×	1.1k 2.8×	184	7.5k
Marzena Kryszkiewicz Poland	11	1.4k 0.5×	771 0.5×	895 0.7×	397 0.4×	99 0.3×	35	1.7k
Zongxia Xie China	16	913 0.3×	766 0.5×	526 0.4×	273 0.3×	260 0.7×	44	1.6k

Countries citing papers authored by Ju‐Sheng Mi

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Mi, Ju‐Sheng, et al.. (2025). Reductions of concept lattices based on Boolean formal contexts. International Journal of Approximate Reasoning. 179. 109372–109372.

Zhu, Kang, et al.. (2025). Optimal scale combination selection for dynamic generalized multi-scale interval-valued ordered data. Knowledge-Based Systems. 331. 114702–114702.

Mi, Ju‐Sheng, et al.. (2025). Zoom method for association rules in multi-granularity formal context. Soft Computing. 29(2). 613–627.

Yang, Hongbo, et al.. (2025). Privacy preservation and fairness constraints for few-shot learning based on Lagrange duality. International Journal of Machine Learning and Cybernetics. 16(7-8). 4961–4979.

Sun, Yingying, Ju‐Sheng Mi, & Chenxia Jin. (2024). Entropy-based concept drift detection in information systems. Knowledge-Based Systems. 290. 111596–111596. 3 indexed citations

Shao, Mingwen, et al.. (2024). Mining positive and negative rules via one-sided fuzzy three-way concept lattices. Fuzzy Sets and Systems. 479. 108842–108842. 5 indexed citations

Mi, Ju‐Sheng, et al.. (2024). Three-way concept lattice based on Boolean formal context. International Journal of Approximate Reasoning. 175. 109286–109286. 1 indexed citations

Mi, Ju‐Sheng, et al.. (2024). Intuitive-K-prototypes: A mixed data clustering algorithm with intuitionistic distribution centroid. Pattern Recognition. 158. 111062–111062.

Mi, Ju‐Sheng, et al.. (2024). Information granule optimization and co-training based on kernel method. Applied Soft Computing. 158. 111584–111584. 1 indexed citations

10.

Liu, Jin, et al.. (2023). A novel method for generating a canonical basis for decision implications based on object-induced three-way operators. Knowledge-Based Systems. 283. 111161–111161. 4 indexed citations

11.

Mi, Ju‐Sheng, et al.. (2023). Adaptive intuitionistic fuzzy neighborhood classifier. International Journal of Machine Learning and Cybernetics. 15(5). 1855–1871. 4 indexed citations

12.

Mi, Ju‐Sheng, et al.. (2019). Optimal granulation selection for similarity measure-based multigranulation intuitionistic fuzzy decision-theoretic rough sets. Journal of Intelligent & Fuzzy Systems. 36(3). 2495–2509. 7 indexed citations

13.

Chen, Jinkun, et al.. (2018). A fast attribute reduction method for large formal decision contexts. International Journal of Approximate Reasoning. 106. 1–17. 31 indexed citations

14.

Pang, Bin, Ju‐Sheng Mi, & Zhen-Yu Xiu. (2018). L-fuzzifying approximation operators in fuzzy rough sets. Information Sciences. 480. 14–33. 29 indexed citations

15.

Feng, Tao, et al.. (2017). Uncertainty and reduction of variable precision multigranulation fuzzy rough sets based on three-way decisions. International Journal of Approximate Reasoning. 85. 36–58. 49 indexed citations

16.

Hu, Qinghua, Shiguang Zhang, Zongxia Xie, Ju‐Sheng Mi, & Jie Wan. (2014). Noise model based ν-support vector regression with its application to short-term wind speed forecasting. Neural Networks. 57. 1–11. 68 indexed citations

17.

Feng, Tao, et al.. (2011). The reduction and fusion of fuzzy covering systems based on the evidence theory. International Journal of Approximate Reasoning. 53(1). 87–103. 118 indexed citations

18.

Leung, Yee, et al.. (2007). A rough set approach to the discovery of classification rules in spatial data. International Journal of Geographical Information Systems. 21(9). 1033–1058. 46 indexed citations

19.

Mi, Ju‐Sheng. (2007). The Uncertainty Measure of the Generalized Fuzzy Rough Sets. Mohu xitong yu shuxue.

20.

Mi, Ju‐Sheng & Wei-Zhi Wu. (2004). Knowledge Reducts Based on Variable Precision Rough Set Theory. Systems Engineering - Theory & Practice. 4 indexed citations

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.

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