Yumin Chen
- Computational Theory and Mathematics top 0.5%
- Rough Sets and Fuzzy Logic 36
- Artificial Intelligence top 1%
- Text and Document Classification Technologies 8
- Anomaly Detection Techniques and Applications 7
- Advanced Computational Techniques and Applications 6
- Information Systems top 2%
- Data Mining Algorithms and Applications 17
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- Neural Networks Stability and Synchronization 8
- Nonlinear Dynamics and Pattern Formation 6
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- stochastic dynamics and bifurcation 6
- Co-authors
- Duoqian MiaoRuizhi WangJian WuQingxin ZhuYing MaKeshou WuYu XueZhiqiang Zeng
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceApplied Microbiology and Biotechnology
In The Last Decade
Yumin Chen
110 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 160
- Computational Theory and Mathematics 655
- Artificial Intelligence 835
- Applied Microbiology and Biotechnology 46
- Information Systems 358
- Computer Vision and Pattern Recognition 316
Countries citing papers authored by Yumin Chen
This map shows the geographic impact of Yumin Chen'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 Yumin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yumin Chen more than expected).
Fields of papers citing papers by Yumin Chen
This network shows the impact of papers produced by Yumin Chen. 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 Yumin Chen. The network helps show where Yumin Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yumin Chen, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 23 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 11 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 18 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 3 | |
| 15 | 2022 | 39 | |
| 16 | 2022 | 4 | |
| 17 | 2020 | 6 | |
| 18 | 2019 | 3 | |
| 19 | 2018 | 2 | |
| 20 | 2017 | 98 |
About Yumin Chen
Yumin Chen is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Safety, Risk, Reliability and Quality, having authored 125 papers that have together received 2.2k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (36 papers), Data Mining Algorithms and Applications (17 papers), Neural Networks Stability and Synchronization (8 papers), Text and Document Classification Technologies (8 papers), Anomaly Detection Techniques and Applications (7 papers), Nonlinear Dynamics and Pattern Formation (6 papers), stochastic dynamics and bifurcation (6 papers) and Advanced Computational Techniques and Applications (6 papers). The work is most often cited by research in Computational Theory and Mathematics (655 citations), Artificial Intelligence (835 citations), Applied Microbiology and Biotechnology (46 citations), Information Systems (358 citations) and Computer Vision and Pattern Recognition (316 citations). Yumin Chen has collaborated with scholars based in China, Taiwan and Canada. Frequent co-authors include Duoqian Miao, Ruizhi Wang, Jian Wu, Qingxin Zhu, Ying Ma, Keshou Wu, Yu Xue, Zhiqiang Zeng, Hongyun Zhang and Duoqian Miao. Their work appears in journals such as Knowledge-Based Systems, Journal of Intelligent & Fuzzy Systems, IEEE Access, Applied Soft Computing and Applied Intelligence.
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.