Xiaowei Wen
Impact in
-
- Multi-Criteria Decision Making
- Marketing top 10%
- Environmental Sustainability in Business
Papers in
- Food Science 10
- Food Safety and Hygiene 7
- Food Supply Chain Traceability 4
-
- Multi-Criteria Decision Making 8
- Co-authors
- Yejun Xu (8 shared papers)Wancheng Zhang (1 shared paper)You-hua Chen (4 shared papers)Pu‐yan Nie (2 shared papers)Bo Wang (1 shared paper)Huimin Wang (1 shared paper)Hao Sun (1 shared paper)May Chu (3 shared papers)
- Journals
- International Journal of Environmental Research and Public Health (3 papers)Foods (2 papers)Applied Soft Computing (2 papers)Sustainability (2 papers)Journal of Cleaner Production (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xiaowei Wen
27 papers receiving 713 citations
Peers
Comparison fields: 5 of 100
- Management Science and Operations Research 304
- Marketing 76
- Strategy and Management 85
- Computational Theory and Mathematics 90
- Artificial Intelligence 157
Countries citing papers authored by Xiaowei Wen
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
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.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 223 | |
| 2 | 2017 | 155 | |
| 3 | 2018 | 52 | |
| 4 | 2020 | 44 | |
| 5 | 2017 | 42 | |
| 6 | 2016 | 30 | |
| 7 | 2022 | 26 | |
| 8 | 2020 | 20 | |
| 9 | 2023 | 16 | |
| 10 | 2019 | 16 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2015 | 12 | |
| 14 | 2018 | 12 | |
| 15 | 2017 | 9 | |
| 16 | 2024 | 7 | |
| 17 | 2024 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2020 | 4 |
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 724 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), Bayesian Modeling and Causal Inference (3 papers), Organic Food and Agriculture (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 (304 citations), Marketing (76 citations), Strategy and Management (85 citations), Computational Theory and Mathematics (90 citations) and Artificial Intelligence (157 citations). Xiaowei Wen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yejun Xu, Wancheng Zhang, You-hua Chen, Pu‐yan Nie, Bo Wang, Huimin Wang, Hao Sun, May Chu, Xiaotong Zhu and Enrique Herrera‐Viedma. Their work appears in journals such as International Journal of Environmental Research and Public Health, Foods, Applied Soft Computing, Sustainability and Journal of Cleaner Production.
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.