Sumin Yu
Impact in
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- Multi-Criteria Decision Making
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- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
Papers in
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- Multi-Criteria Decision Making 20
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- Cognitive Science and Mapping 7
- Sentiment Analysis and Opinion Mining 4
- Co-authors
- Jian‐qiang Wang (10 shared papers)Zhijiao Du (26 shared papers)Jing Wang (7 shared papers)Hanyang Luo (14 shared papers)Xudong Lin (6 shared papers)Lin Li (1 shared paper)Xuanhua Xu (3 shared papers)Xudong Lin (8 shared papers)
In The Last Decade
Sumin Yu
39 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 86
- Management Science and Operations Research 865
- Statistical and Nonlinear Physics 219
- Marketing 127
- Statistics and Probability 108
- Artificial Intelligence 441
Countries citing papers authored by Sumin Yu
This map shows the geographic impact of Sumin Yu'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 Sumin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumin Yu more than expected).
Fields of papers citing papers by Sumin Yu
This network shows the impact of papers produced by Sumin Yu. 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 Sumin Yu. The network helps show where Sumin Yu may publish in the future.
Co-authors
The 23 scholars most cited alongside Sumin Yu, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 149 | |
| 2 | 2017 | 148 | |
| 3 | 2016 | 145 | |
| 4 | 2020 | 122 | |
| 5 | 2021 | 98 | |
| 6 | 2021 | 84 | |
| 7 | 2021 | 80 | |
| 8 | 2020 | 67 | |
| 9 | 2018 | 60 | |
| 10 | 2017 | 48 | |
| 11 | 2015 | 45 | |
| 12 | 2021 | 39 | |
| 13 | 2020 | 39 | |
| 14 | 2022 | 38 | |
| 15 | 2022 | 30 | |
| 16 | 2021 | 30 | |
| 17 | 2020 | 29 | |
| 18 | 2023 | 28 | |
| 19 | 2015 | 22 | |
| 20 | 2022 | 18 |
About Sumin Yu
Sumin Yu is a scholar working on Management Science and Operations Research, Artificial Intelligence, Sociology and Political Science, Statistical and Nonlinear Physics and Marketing, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (20 papers), Digital Marketing and Social Media (7 papers), Cognitive Science and Mapping (7 papers), Opinion Dynamics and Social Influence (7 papers), Complex Network Analysis Techniques (6 papers), Optimization and Mathematical Programming (5 papers), Digital Platforms and Economics (4 papers) and Sentiment Analysis and Opinion Mining (4 papers). The work is most often cited by research in Management Science and Operations Research (865 citations), Statistical and Nonlinear Physics (219 citations), Marketing (127 citations), Statistics and Probability (108 citations) and Artificial Intelligence (441 citations). Sumin Yu has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Jian‐qiang Wang, Zhijiao Du, Jing Wang, Hanyang Luo, Xudong Lin, Lin Li, Xuanhua Xu, Xudong Lin, Hong‐yu Zhang and Huan Zhou. Their work appears in journals such as Journal of theoretical and applied electronic commerce research, Computers & Industrial Engineering, Knowledge-Based Systems, International Transactions in Operational Research and Information Fusion.
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.