Qun Wu

1.7k total citations · 1 hit paper
61 papers, 1.3k citations indexed

About

Qun Wu is a scholar working on Management Science and Operations Research, Artificial Intelligence and Strategy and Management. According to data from OpenAlex, Qun Wu has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Management Science and Operations Research, 14 papers in Artificial Intelligence and 6 papers in Strategy and Management. Recurrent topics in Qun Wu's work include Multi-Criteria Decision Making (28 papers), Bayesian Modeling and Causal Inference (7 papers) and Fuzzy Systems and Optimization (6 papers). Qun Wu is often cited by papers focused on Multi-Criteria Decision Making (28 papers), Bayesian Modeling and Causal Inference (7 papers) and Fuzzy Systems and Optimization (6 papers). Qun Wu collaborates with scholars based in China, Türkiye and United Kingdom. Qun Wu's co-authors include Ligang Zhou, Huayou Chen, Xinwang Liu, Jindong Qin, Weizhong Wang, Muhammet Deveci, Peng Wu, Dragan Pamučar, Abbas Mardani and Xiao Han and has published in prestigious journals such as Journal of Business Research, International Journal of Hydrogen Energy and Expert Systems with Applications.

In The Last Decade

Qun Wu

54 papers receiving 1.3k citations

Hit Papers

An integrated approach to green supplier selection based ... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An integrated approach to green supplier selection based on the interval type-2 fuzzy best-worst and extended VIKOR methods
    2019 271 citations Qun Wu, Ligang Zhou et al. Information Sciences profile →

Peers

Qun Wu
Xiaomei Mi China
Arian Hafezalkotob Iran
Matteo Brunelli Italy
Soheil Sadi‐Nezhad Iran
Luiz Flávio Autran Monteiro Gomes Brazil
Deng-Feng Li China
Jianjun Zhu China
Shide Sadat Hashemi Iran
Junhua Hu China
Andrii Shekhovtsov Poland
Xiaomei Mi China
Qun Wu
Citations per year, relative to Qun Wu Qun Wu (= 1×) peers Xiaomei Mi

Countries citing papers authored by Qun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Qun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Qun Wu. A scholar is included among the top collaborators of Qun Wu 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 Qun Wu. Qun Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Li, Hao, et al.. (2025). A Bayesian Analysis Framework for Decision Making with Interval Pairwise Comparison Judgments. Decision Analysis. 22(4). 235–254. 1 indexed citations
3.
Wu, Qun, Wenan Tan, Ligang Zhou, et al.. (2025). An integrated consensus-oriented decision-making framework for exploring the barriers and applications of medical digital twins. Expert Systems with Applications. 284. 127683–127683. 1 indexed citations
4.
5.
Wang, Weizhong, Yi Wang, Yan Hu, Tinglong Zhang, & Qun Wu. (2024). Assessment of metaverse integration options in the higher education institution using interval-valued T-spherical fuzzy-WHMA-CEM-GLDS framework. Applied Soft Computing. 156. 111514–111514. 9 indexed citations
6.
Li, Jiabei, Ligang Zhou, Luis Martı́nez, Muhammet Deveci, & Qun Wu. (2024). A two-stage stochastic preference analysis on group decision making with interval additive preference relations. Expert Systems with Applications. 254. 124357–124357. 3 indexed citations
7.
Li, Hao, et al.. (2024). A Bayesian Framework for Modelling the Trust Relationships to Group Decision Making Problems. IEEE Transactions on Fuzzy Systems. 32(12). 6594–6606. 6 indexed citations
8.
Li, Jiabei, et al.. (2024). Double stochastic preference analysis on group decision making with interval additive preference relations. Computers & Industrial Engineering. 190. 110056–110056. 2 indexed citations
9.
Li, Hao, et al.. (2024). Stochastic distributed preference relation analysis based on a new uncertainty allocation model. Expert Systems with Applications. 267. 126247–126247.
10.
Wu, Qun, et al.. (2023). Flexible Adaptive Graph Embedding for Semi-supervised Dimension Reduction. Information Fusion. 99. 101872–101872. 6 indexed citations
11.
Wang, Jian, et al.. (2023). Impact of Chinese Local Government‐led Construction Land Supply Strategies on Urban Innovation and its Spatiotemporal Differences. China & World Economy. 31(5). 161–189. 3 indexed citations
12.
Liu, Xinwang, et al.. (2023). The integrated prospect theory with consensus model for risk analysis of human error factors in the clinical use of medical devices. Expert Systems with Applications. 217. 119507–119507. 25 indexed citations
13.
Wang, Weizhong, et al.. (2023). An extensible complex spherical fuzzy decision making model based selection framework for the food waste treatment method. Applied Soft Computing. 150. 111068–111068. 17 indexed citations
14.
Li, Hao, et al.. (2023). The SMAA-MABAC approach for healthcare supplier selection in belief distribution environment with uncertainties. Engineering Applications of Artificial Intelligence. 129. 107654–107654. 14 indexed citations
15.
Wang, Weizhong, Xiao Han, Weiping Ding, et al.. (2022). A Fermatean fuzzy Fine–Kinney for occupational risk evaluation using extensible MARCOS with prospect theory. Engineering Applications of Artificial Intelligence. 117. 105518–105518. 42 indexed citations
16.
Liu, Xinwang, et al.. (2022). Measuring efficiency of the high-tech industry using uncertain multi-stage nonparametric technologies. Expert Systems with Applications. 216. 119490–119490. 3 indexed citations
17.
Yan, Xu, et al.. (2018). Analysis on source of Tyrosine and Phenylalanine as precursors of aromatic compounds in Baijiu (Chinese liquor).. Shipin yu fajiao gongye. 44(10). 1–6. 4 indexed citations
18.
Wu, Qun. (2009). Model of product form innovation design knowledge based on users' cognition. Computer Integrated Manufacturing Systems.
19.
Wu, Qun. (2008). Determination of the severity of traffic conflict at highway intersections. Journal of Hefei University of Technology. 2 indexed citations
20.
Wu, Qun. (2007). Nutrition Components and Application Effect of Biogas Fertilizer in Guichi District. Anhui nongye kexue. 3 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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