Mi Zhou

1.6k total citations
64 papers, 1.2k citations indexed

About

Mi Zhou is a scholar working on Management Science and Operations Research, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Mi Zhou has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Management Science and Operations Research, 21 papers in Artificial Intelligence and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Mi Zhou's work include Multi-Criteria Decision Making (27 papers), Cognitive Science and Mapping (10 papers) and Bayesian Modeling and Causal Inference (9 papers). Mi Zhou is often cited by papers focused on Multi-Criteria Decision Making (27 papers), Cognitive Science and Mapping (10 papers) and Bayesian Modeling and Causal Inference (9 papers). Mi Zhou collaborates with scholars based in China, United Kingdom and Spain. Mi Zhou's co-authors include Jian Wu, Yu‐Wang Chen, Jianbo Yang, Xinbao Liu, Mingshuo Cao, Enrique Herrera‐Viedma, Xiaoming Wang, Bayi Cheng, Tiantian Gai and Yujia Liu and has published in prestigious journals such as European Journal of Operational Research, Optics Express and Expert Systems with Applications.

In The Last Decade

Mi Zhou

55 papers receiving 1.2k citations

Peers

Mi Zhou

MSOR

CTM

SNP

Guangxu Li China

Jianjun Zhu China

Álvaro Labella Spain

Yinghua Shen China

Sumin Yu China

Ru‐xin Nie China

Xiuwu Liao China

Mingshuo Cao China

Bowen Zhang China

Guangxu Li China

Mi Zhou

774 ×1.2

MSOR

411 ×0.9

200 ×1.0

CTM

168 ×1.2

SNP

118 ×0.9

Citations per year, relative to Mi Zhou Mi Zhou (= 1×) peers Guangxu Li

Countries citing papers authored by Mi Zhou

Since Specialization

Citations

This map shows the geographic impact of Mi Zhou'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 Mi Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Zhou more than expected).

Fields of papers citing papers by Mi Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mi Zhou. 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 Mi Zhou. The network helps show where Mi Zhou may publish in the future.

Co-authorship network of co-authors of Mi Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Mi Zhou. A scholar is included among the top collaborators of Mi Zhou 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 Mi Zhou. Mi Zhou 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

Zhou, Mi, et al.. (2025). Two-Stage Heterogeneous Noncooperative Behavior for Consensus in Large-Scale Group Decision Under Fuzzy Distributed Preference Relation. IEEE Transactions on Fuzzy Systems. 33(11). 4003–4016.

Zhou, Mi, et al.. (2025). Consensus Reaching Mechanism for Classification-Oriented Group Decision Making Under Unpredictable Uncertainty Based on Weighted Average Evidential Fusion Rule. International Journal of Information Technology & Decision Making. 1–54.

Cheng, Bayi, et al.. (2025). Optimization of batch production with learning effects and fatigue effects. Engineering Optimization. 1–23.

Gai, Tiantian, Jian Wu, Francisco Chiclana, Mi Zhou, & Witold Pedrycz. (2025). A Personality Traits-Driven Conflict Quadrant Diagram by Large Language Models for Personalized Feedback in Group Decision-Making. IEEE Transactions on Systems Man and Cybernetics Systems. 55(11). 8506–8518.

Zhou, Mi, et al.. (2025). A novel consensus reaching approach for large-scale multi-attribute emergency group decision-making under social network clustering based on graph attention mechanism. Applied Intelligence. 55(7).

Zhou, Mi, et al.. (2025). A dual path neural network based on spatial correlation and feature weighting for predicting remaining useful life of aero-engine. Engineering Applications of Artificial Intelligence. 151. 110700–110700.

Zhou, Mi, et al.. (2025). Decentralized multipartite consensus model for multi-attribute group decision making: A user experience-oriented perspective. Expert Systems with Applications. 287. 127917–127917. 2 indexed citations

Zhou, Mi, et al.. (2025). Asynchronous Consensus Evolution Mechanism for Large Group Emergency Decision Making: Risk Mitigation Strategy Selection Under Uncertainty. IEEE Transactions on Systems Man and Cybernetics Systems. 55(10). 6753–6766.

Gai, Tiantian, et al.. (2024). A personalized bidirectional feedback mechanism by combining cooperation and trust to improve group consensus in social network. Computers & Industrial Engineering. 188. 109888–109888. 28 indexed citations

10.

Pei, Feng, Yue Gao, An Yan, Mi Zhou, & Jian Wu. (2024). Conflict elimination based on opinion dynamics in fuzzy group decision-making. Expert Systems with Applications. 254. 124308–124308. 3 indexed citations

11.

Li, Jieyun, et al.. (2024). Predicting TCM patterns in PCOS patients: An exploration of feature selection methods and multi-label machine learning models. Heliyon. 10(15). e35283–e35283. 5 indexed citations

12.

Zhou, Mi, et al.. (2024). An ordinal-cardinal consensus adjustment allocation mechanism for large-scale group decision making based on the consistency of distributed preference relations under fuzzy uncertainty. Computers & Industrial Engineering. 197. 110504–110504. 8 indexed citations

13.

Zhou, Mi, et al.. (2023). An adaptive two-stage consensus reaching process based on heterogeneous judgments and social relations for large-scale group decision making. Information Sciences. 644. 119280–119280. 25 indexed citations

14.

Zhou, Mi, et al.. (2023). A large-scale group consensus reaching approach considering self-confidence with two-tuple linguistic trust/distrust relationship and its application in life cycle sustainability assessment. Information Fusion. 94. 181–199. 74 indexed citations

15.

Zhou, Mi, Xinhong Li, Bayi Cheng, Jian Wu, & Enrique Herrera‐Viedma. (2023). Group decision making based on consistency adjustment of distributed preference relations under asymmetric evaluation grades. Applied Intelligence. 54(1). 1144–1178. 5 indexed citations

16.

Cao, Mingshuo, et al.. (2022). A Comprehensive Star Rating Approach for Cruise Ships Based on Interactive Group Decision Making with Personalized Individual Semantics. Journal of Marine Science and Engineering. 10(5). 638–638. 32 indexed citations

17.

Zhou, Mi, et al.. (2022). Consistency and consensus reaching process for group decision making based on complete interval distributed preference relations under social network analysis. Information Fusion. 88. 126–145. 27 indexed citations

18.

Zhou, Mi, Meng Hu, Yu‐Wang Chen, et al.. (2021). Towards achieving consistent opinion fusion in group decision making with complete distributed preference relations. Knowledge-Based Systems. 236. 107740–107740. 22 indexed citations

19.

Zhou, Mi. (2009). A research on the gas turbine performance in the condition of fault based on the second law of thermodynamics.

20.

Zhou, Mi. (2008). Effects of Elevated O_3 Exposure on Photosynthesis and Yield in Wheat. Nongye xiandaihua yanjiu. 2 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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