Qun Wu

54 papers receiving 1.3k citations

Hit Papers

An integrated approach to green supplier selection based ...2019202620212023201950100150200250

Peers

Qun Wu
Comparison fields: 5 of 116
  • Management Science and Operations Research 875
  • Artificial Intelligence 254
  • Strategy and Management 240
  • Control and Systems Engineering 225
  • Statistics and Probability 167
Replace Xiaomei Mi with:
Xiaomei Mi China
Arian Hafezalkotob Iran
Matteo Brunelli Italy
Soheil Sadi‐Nezhad Iran
Deng-Feng Li China
Mustafa Kurt Türkiye
Luiz Flávio Autran Monteiro Gomes Brazil
A. Hadi‐Vencheh Iran
Hsuan-Shih Lee Taiwan
Yu-Jie Wang Taiwan
Qun Wu relative to Xiaomei Mi China Xiaomei Mi's profile →
Citations per field
00.5×
Xiaomei Mi · 1×
Citations per year

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
#WorkIndexed citations
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Analysis on source of Tyrosine and Phenylalanine as precursors of aromatic compounds in Baijiu (Chinese liquor).
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Model of product form innovation design knowledge based on users' cognition
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Determination of the severity of traffic conflict at highway intersections
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Nutrition Components and Application Effect of Biogas Fertilizer in Guichi District
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About Qun Wu

Qun Wu is a scholar working on Management Science and Operations Research, General Energy and Statistics and Probability, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (28 papers), Bayesian Modeling and Causal Inference (7 papers) and Fuzzy Systems and Optimization (6 papers). The work is most often cited by research in Management Science and Operations Research (875 citations), Statistics and Probability (167 citations) and Strategy and Management (240 citations). Qun Wu has collaborated with scholars based in China, Türkiye and United Kingdom. Frequent co-authors include Ligang Zhou, Huayou Chen, Xinwang Liu, Jindong Qin, Weizhong Wang, Muhammet Deveci, Peng Wu, Dragan Pamučar, Abbas Mardani and Xiao Han. Their work appears in journals such as Journal of Business Research, International Journal of Hydrogen Energy and Expert Systems with Applications.

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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