Xiaowei Wen

950 citations
30 papers · 749 · h-index 13

Impact in

Papers in

Xiaowei Wen

28 papers receiving 738 citations

Peers

Xiaowei Wen
Comparison fields: 5 of 99
  • Management Science and Operations Research 306
  • Marketing 79
  • Strategy and Management 89
  • Computational Theory and Mathematics 90
  • Artificial Intelligence 158
Replace Ritanjali Majhi with:
Ritanjali Majhi India
Faxin Cheng China
Orrin Cooper United States
Pu Ji China
Jie Cao China
Riccardo Massari Italy
Changyuan Gao China
Sigifredo Laengle Chile
Wanru Wang China
Sándor Bozóki Hungary
Xiaowei Wen relative to Ritanjali Majhi India Ritanjali Majhi's profile →
Citations per field
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Ritanjali Majhi · 1×
Citations per year

Countries citing papers authored by Xiaowei Wen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaowei Wen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaowei Wen Line = papers co-authored together Xiaowei Wen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017226
2 2017156
3 201852
4 202046
5 201742
6 201630
7 202228
8 202024
9 202318
10 201916
11 202113
12 202112
13 201812
14 201512
15 20179
16 20247
17 20247
18 20226
19 20255
20 20225

About Xiaowei Wen

Xiaowei Wen is a scholar working on Food Science, Management Science and Operations Research, Sociology and Political Science, Strategy and Management and Marketing, having authored 30 papers that have together received 749 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (8 papers), Food Safety and Hygiene (7 papers), Food Supply Chain Traceability (4 papers), Digital Marketing and Social Media (3 papers), Organic Food and Agriculture (3 papers), Bayesian Modeling and Causal Inference (3 papers), Rough Sets and Fuzzy Logic (3 papers) and Risk Perception and Management (3 papers). The work is most often cited by research in Management Science and Operations Research (306 citations), Marketing (79 citations), Strategy and Management (89 citations), Computational Theory and Mathematics (90 citations) and Artificial Intelligence (158 citations). Xiaowei Wen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yejun Xu, Wancheng Zhang, You-hua Chen, Pu‐yan Nie, Bo Wang, May Chu, Hao Sun, Huimin Wang, Enrique Herrera‐Viedma and Xiaotong Zhu. Their work appears in journals such as International Journal of Environmental Research and Public Health, Foods, Sustainability, Journal of Cleaner Production and Applied Soft Computing.

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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