Yejun Xu
Impact in
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- Multi-Criteria Decision Making
- Computational Theory and Mathematics top 0.2%
- Rough Sets and Fuzzy Logic
Papers in
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- Multi-Criteria Decision Making 128
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- Bayesian Modeling and Causal Inference 40
- Cognitive Science and Mapping 13
- Co-authors
- Francisco Herrera (15 shared papers)Huimin Wang (16 shared papers)Enrique Herrera‐Viedma (20 shared papers)Huimin Wang (14 shared papers)Xia Liu (14 shared papers)Xiaowei Wen (8 shared papers)Wancheng Zhang (4 shared papers)DA Qing-li (5 shared papers)
- Journals
- Information Sciences (13 papers)Applied Soft Computing (13 papers)Computers & Industrial Engineering (8 papers)Knowledge-Based Systems (8 papers)Information Fusion (7 papers)
- Partner nations
- ChinaSpainSaudi Arabia
In The Last Decade
Yejun Xu
155 papers receiving 5.8k citations
Yejun Xu's Hit Papers
Peers
Comparison fields: 5 of 117
- Management Science and Operations Research 4.7k
- Computational Theory and Mathematics 1.7k
- Statistics and Probability 762
- Artificial Intelligence 2.2k
- Control and Systems Engineering 1.1k
Countries citing papers authored by Yejun Xu
This map shows the geographic impact of Yejun Xu'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 Yejun Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yejun Xu more than expected).
Fields of papers citing papers by Yejun Xu
This network shows the impact of papers produced by Yejun Xu. 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 Yejun Xu. The network helps show where Yejun Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yejun Xu, 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 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 227 | |
| 2 | Consensus of large-scale group decision making in social network: the minimum cost model based on robust optimization Hit paper breakdown → | 2020 | 215 |
| 3 | 2015 | 207 | |
| 4 | 2017 | 179 | |
| 5 | 2019 | 177 | |
| 6 | 2018 | 176 | |
| 7 | 2011 | 155 | |
| 8 | 2011 | 150 | |
| 9 | 2019 | 149 | |
| 10 | 2016 | 141 | |
| 11 | Lattice implication algebras | 1993 | 139 |
| 12 | 2018 | 130 | |
| 13 | 2013 | 123 | |
| 14 | 2012 | 110 | |
| 15 | 2013 | 106 | |
| 16 | 2021 | 105 | |
| 17 | 2012 | 100 | |
| 18 | 2011 | 96 | |
| 19 | 2009 | 83 | |
| 20 | 2010 | 79 |
About Yejun Xu
Yejun Xu is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering and Statistics and Probability, having authored 161 papers that have together received 5.9k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (128 papers), Rough Sets and Fuzzy Logic (46 papers), Bayesian Modeling and Causal Inference (40 papers), Optimization and Mathematical Programming (29 papers), Fuzzy Systems and Optimization (21 papers), Data Management and Algorithms (16 papers), Advanced Algebra and Logic (13 papers) and Cognitive Science and Mapping (13 papers). The work is most often cited by research in Management Science and Operations Research (4.7k citations), Computational Theory and Mathematics (1.7k citations), Statistics and Probability (762 citations), Artificial Intelligence (2.2k citations) and Control and Systems Engineering (1.1k citations). Yejun Xu has collaborated with scholars based in China, Spain and Saudi Arabia. Frequent co-authors include Francisco Herrera, Huimin Wang, Enrique Herrera‐Viedma, Huimin Wang, Xia Liu, Xiaowei Wen, Wancheng Zhang, DA Qing-li, Francisco Javier Cabrerizo and Yanling Lu. Their work appears in journals such as Information Sciences, Applied Soft Computing, Computers & Industrial Engineering, Knowledge-Based Systems 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.