Minxia Luo
Impact in
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- Multi-Criteria Decision Making
- Artificial Intelligence top 2%
- Machine Learning and ELM
- Fuzzy Logic and Control Systems
- Neural Networks and Applications
Papers in
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- Multi-Criteria Decision Making 30
- Fuzzy and Soft Set Theory 5
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- Fuzzy Logic and Control Systems 28
- Neural Networks and Applications 4
- Machine Learning and ELM 4
- Co-authors
- Kai Zhang (4 shared papers)Xiaoping Lai (2 shared papers)Jiuwen Cao (2 shared papers)Chun Yin (1 shared paper)Yue Zhang (1 shared paper)Xiaoling Zhou (2 shared papers)Wenling Li (4 shared papers)Chi‐Man Vong (1 shared paper)
In The Last Decade
Minxia Luo
47 papers receiving 997 citations
Peers
Comparison fields: 5 of 101
- Management Science and Operations Research 400
- Artificial Intelligence 549
- Statistics and Probability 126
- Computational Theory and Mathematics 207
- Computer Vision and Pattern Recognition 132
Countries citing papers authored by Minxia Luo
This map shows the geographic impact of Minxia Luo'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 Minxia Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minxia Luo more than expected).
Fields of papers citing papers by Minxia Luo
This network shows the impact of papers produced by Minxia Luo. 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 Minxia Luo. The network helps show where Minxia Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Minxia Luo, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 193 | |
| 2 | 2016 | 183 | |
| 3 | 2018 | 95 | |
| 4 | 2013 | 76 | |
| 5 | 2020 | 62 | |
| 6 | 2016 | 59 | |
| 7 | 2015 | 32 | |
| 8 | 2018 | 26 | |
| 9 | 2015 | 23 | |
| 10 | 2021 | 22 | |
| 11 | 2013 | 21 | |
| 12 | 2023 | 21 | |
| 13 | 2021 | 19 | |
| 14 | 2016 | 17 | |
| 15 | 2017 | 16 | |
| 16 | 2021 | 16 | |
| 17 | 2023 | 15 | |
| 18 | 2020 | 11 | |
| 19 | 2018 | 10 | |
| 20 | 2022 | 10 |
About Minxia Luo
Minxia Luo is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computational Theory and Mathematics, Statistics and Probability and Molecular Biology, having authored 49 papers that have together received 1.0k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (30 papers), Fuzzy Logic and Control Systems (28 papers), Rough Sets and Fuzzy Logic (22 papers), Fuzzy Systems and Optimization (13 papers), Advanced Algebra and Logic (12 papers), Fuzzy and Soft Set Theory (5 papers), Neural Networks and Applications (4 papers) and Machine Learning and ELM (4 papers). The work is most often cited by research in Management Science and Operations Research (400 citations), Artificial Intelligence (549 citations), Statistics and Probability (126 citations), Computational Theory and Mathematics (207 citations) and Computer Vision and Pattern Recognition (132 citations). Minxia Luo has collaborated with scholars based in China, Canada and Macao. Frequent co-authors include Kai Zhang, Xiaoping Lai, Jiuwen Cao, Chun Yin, Yue Zhang, Xiaoling Zhou, Wenling Li, Chi‐Man Vong, Guofeng Zhang and Sheng-Gang Li. Their work appears in journals such as Engineering Applications of Artificial Intelligence, International Journal of Approximate Reasoning, Soft Computing, Journal of Intelligent & Fuzzy Systems and Symmetry.
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.