Shu‐Ping Wan
Impact in
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- Multi-Criteria Decision Making
- Statistics and Probability top 0.2%
- Fuzzy Systems and Optimization
Papers in
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- Multi-Criteria Decision Making 128
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- Optimization and Mathematical Programming 71
- Co-authors
- Jiu-Ying Dong (105 shared papers)Feng Wang (14 shared papers)Deng‐Feng Li (6 shared papers)Deng-Feng Li (4 shared papers)Gai-li Xu (11 shared papers)Shyi‐Ming Chen (6 shared papers)Wen-Chang Zou (9 shared papers)Yan Jia (3 shared papers)
In The Last Decade
Shu‐Ping Wan
174 papers receiving 5.6k citations
Shu‐Ping Wan's Hit Papers
Peers
Comparison fields: 5 of 144
- Management Science and Operations Research 4.7k
- Statistics and Probability 1.1k
- Control and Systems Engineering 2.0k
- Computational Theory and Mathematics 1.0k
- Artificial Intelligence 1.3k
Countries citing papers authored by Shu‐Ping Wan
This map shows the geographic impact of Shu‐Ping Wan'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 Shu‐Ping Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Ping Wan more than expected).
Fields of papers citing papers by Shu‐Ping Wan
This network shows the impact of papers produced by Shu‐Ping Wan. 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 Shu‐Ping Wan. The network helps show where Shu‐Ping Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shu‐Ping Wan, 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 186 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 206 | |
| 2 | Fuzzy best-worst method based on triangular fuzzy numbers for multi-criteria decision-making Hit paper breakdown → | 2020 | 195 |
| 3 | 2016 | 176 | |
| 4 | 2012 | 161 | |
| 5 | 2013 | 144 | |
| 6 | 2012 | 120 | |
| 7 | 2015 | 119 | |
| 8 | 2013 | 118 | |
| 9 | 2019 | 115 | |
| 10 | 2015 | 114 | |
| 11 | 2015 | 105 | |
| 12 | 2017 | 97 | |
| 13 | 2013 | 95 | |
| 14 | 2013 | 90 | |
| 15 | 2021 | 88 | |
| 16 | 2015 | 88 | |
| 17 | 2015 | 85 | |
| 18 | 2017 | 79 | |
| 19 | 2016 | 79 | |
| 20 | 2018 | 77 |
About Shu‐Ping Wan
Shu‐Ping Wan is a scholar working on Management Science and Operations Research, Control and Systems Engineering, Statistics and Probability, Artificial Intelligence and Computational Theory and Mathematics, having authored 186 papers that have together received 5.7k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (128 papers), Optimization and Mathematical Programming (71 papers), Fuzzy Systems and Optimization (50 papers), Rough Sets and Fuzzy Logic (23 papers), Cognitive Science and Mapping (21 papers), Advanced Measurement and Detection Methods (17 papers), Bayesian Modeling and Causal Inference (17 papers) and Advanced Decision-Making Techniques (16 papers). The work is most often cited by research in Management Science and Operations Research (4.7k citations), Statistics and Probability (1.1k citations), Control and Systems Engineering (2.0k citations), Computational Theory and Mathematics (1.0k citations) and Artificial Intelligence (1.3k citations). Shu‐Ping Wan has collaborated with scholars based in China, Taiwan and Spain. Frequent co-authors include Jiu-Ying Dong, Feng Wang, Deng‐Feng Li, Deng-Feng Li, Gai-li Xu, Shyi‐Ming Chen, Wen-Chang Zou, Yan Jia, Luis Martı́nez and Xiaobing Mao. Their work appears in journals such as Information Sciences, Applied Soft Computing, Expert Systems with Applications, Knowledge-Based Systems and IEEE Transactions on Fuzzy Systems.
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.