Fan Min
- Computational Theory and Mathematics top 0.2%
- Rough Sets and Fuzzy Logic 74
- Information Systems top 0.5%
- Data Mining Algorithms and Applications 49
- Recommender Systems and Techniques 21
- Artificial Intelligence top 0.5%
- Text and Document Classification Technologies 26
- Imbalanced Data Classification Techniques 21
- Signal Processing top 2%
- Data Management and Algorithms 19
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- Image Retrieval and Classification Techniques 22
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- Seismic Imaging and Inversion Techniques 18
- Journals
- Information Sciences (19 papers)Applied Intelligence (13 papers)International Journal of Machine Learning and Cybernetics (13 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Fan Min
268 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 170
- Computational Theory and Mathematics 1.5k
- Information Systems 1.2k
- Artificial Intelligence 1.6k
- Management Science and Operations Research 425
- Signal Processing 358
Countries citing papers authored by Fan Min
This map shows the geographic impact of Fan Min'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 Fan Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Min more than expected).
Fields of papers citing papers by Fan Min
This network shows the impact of papers produced by Fan Min. 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 Fan Min. The network helps show where Fan Min may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fan Min, 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 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2024 | 0 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 14 | |
| 17 | 2023 | 7 | |
| 18 | 2023 | 16 | |
| 19 | 2019 | 13 | |
| 20 | Weighted reduction and its application in automatic correction of Chinese part-of-speech tagging | 2007 | 1 |
About Fan Min
Fan Min is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Signal Processing, having authored 317 papers that have together received 4.2k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (74 papers), Data Mining Algorithms and Applications (49 papers), Text and Document Classification Technologies (26 papers), Image Retrieval and Classification Techniques (22 papers), Imbalanced Data Classification Techniques (21 papers), Recommender Systems and Techniques (21 papers), Data Management and Algorithms (19 papers) and Seismic Imaging and Inversion Techniques (18 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Information Systems (1.2k citations) and Artificial Intelligence (1.6k citations). Fan Min has collaborated with scholars based in China, United States and Italy. Frequent co-authors include William Zhu, Heng‐Ru Zhang, Hideaki Shibata, Zhiheng Zhang, Yuhua Qian, Qihe Liu, Qinghua Hu, Yu Fang, Min Wang and Qingxin Zhu. Their work appears in journals such as Information Sciences, Applied Intelligence, International Journal of Machine Learning and Cybernetics, Knowledge-Based Systems and International Journal of Approximate Reasoning.
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.