Gao-Feng Yu
Impact in
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- Multi-Criteria Decision Making
- Statistics and Probability top 5%
- Fuzzy Systems and Optimization
Papers in
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- Multi-Criteria Decision Making 14
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- Optimization and Mathematical Programming 6
- Co-authors
- Deng-Feng Li (4 shared papers)Wei Fei (2 shared papers)Fuqi Liang (1 shared paper)Quande Qin (1 shared paper)Li Li (1 shared paper)Yu‐Wang Chen (1 shared paper)Jian Wu (4 shared papers)Mingshuo Cao (2 shared papers)
- Journals
- Computers & Industrial Engineering (3 papers)Information Sciences (2 papers)Information Fusion (2 papers)Technological and Economic Development of Economy (2 papers)IEEE Transactions on Fuzzy Systems (1 paper)
- Partner nations
- ChinaUnited KingdomSaudi Arabia
In The Last Decade
Gao-Feng Yu
16 papers receiving 616 citations
Peers
Comparison fields: 5 of 76
- Management Science and Operations Research 454
- Statistics and Probability 71
- Ecological Modeling 32
- Computational Theory and Mathematics 96
- Control and Systems Engineering 131
Countries citing papers authored by Gao-Feng Yu
This map shows the geographic impact of Gao-Feng 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 Gao-Feng Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gao-Feng Yu more than expected).
Fields of papers citing papers by Gao-Feng Yu
This network shows the impact of papers produced by Gao-Feng 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 Gao-Feng Yu. The network helps show where Gao-Feng Yu may publish in the future.
Co-authors
The 18 scholars most cited alongside Gao-Feng 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 136 | |
| 2 | 2018 | 102 | |
| 3 | 2018 | 84 | |
| 4 | 2020 | 71 | |
| 5 | 2023 | 64 | |
| 6 | 2021 | 53 | |
| 7 | 2023 | 29 | |
| 8 | 2022 | 21 | |
| 9 | 2014 | 18 | |
| 10 | 2020 | 16 | |
| 11 | 2020 | 16 | |
| 12 | 2024 | 14 | |
| 13 | 2020 | 9 | |
| 14 | 2021 | 2 | |
| 15 | 2009 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 |
About Gao-Feng Yu
Gao-Feng Yu is a scholar working on Management Science and Operations Research, Control and Systems Engineering, Computational Theory and Mathematics, Statistics and Probability and Computer Networks and Communications, having authored 18 papers that have together received 637 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (14 papers), Optimization and Mathematical Programming (6 papers), Fuzzy Systems and Optimization (3 papers), Complex Network Analysis Techniques (2 papers), Evaluation Methods in Various Fields (2 papers), Opinion Dynamics and Social Influence (2 papers), Rough Sets and Fuzzy Logic (2 papers) and Cognitive Science and Mapping (2 papers). The work is most often cited by research in Management Science and Operations Research (454 citations), Statistics and Probability (71 citations), Ecological Modeling (32 citations), Computational Theory and Mathematics (96 citations) and Control and Systems Engineering (131 citations). Gao-Feng Yu has collaborated with scholars based in China, United Kingdom and Saudi Arabia. Frequent co-authors include Deng-Feng Li, Wei Fei, Fuqi Liang, Quande Qin, Li Li, Yu‐Wang Chen, Jian Wu, Mingshuo Cao, Deng‐Feng Li and Guangxu Li. Their work appears in journals such as Computers & Industrial Engineering, Information Sciences, Information Fusion, Technological and Economic Development of Economy 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.