Lin Sun
Impact in
- Computational Theory and Mathematics top 0.2%
- Rough Sets and Fuzzy Logic
- Computational Drug Discovery Methods
- Artificial Intelligence top 0.5%
- Text and Document Classification Technologies
- Imbalanced Data Classification Techniques
Papers in
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- Text and Document Classification Technologies 24
- Imbalanced Data Classification Techniques 11
- Advanced Computational Techniques and Applications 8
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- Rough Sets and Fuzzy Logic 49
- Co-authors
- Jiucheng Xu (72 shared papers)Weiping Ding (32 shared papers)Yuhua Qian (7 shared papers)Shiguang Zhang (18 shared papers)Yun Tian (7 shared papers)Lanying Wang (4 shared papers)Yu Chen (6 shared papers)Xiaoyu Zhang (4 shared papers)
In The Last Decade
Lin Sun
96 papers receiving 2.7k citations
Lin Sun's Hit Papers
Peers
Comparison fields: 5 of 140
- Computational Theory and Mathematics 1.5k
- Artificial Intelligence 1.5k
- Computer Vision and Pattern Recognition 750
- Information Systems 706
- Management Science and Operations Research 211
Countries citing papers authored by Lin Sun
This map shows the geographic impact of Lin Sun'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 Lin Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Sun more than expected).
Fields of papers citing papers by Lin Sun
This network shows the impact of papers produced by Lin Sun. 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 Lin Sun. The network helps show where Lin Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Sun, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 211 | |
| 2 | Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification Hit paper breakdown → | 2019 | 209 |
| 3 | Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification Hit paper breakdown → | 2021 | 156 |
| 4 | 2021 | 135 | |
| 5 | 2004 | 133 | |
| 6 | 2004 | 129 | |
| 7 | 2012 | 110 | |
| 8 | 2019 | 103 | |
| 9 | 2003 | 102 | |
| 10 | 2020 | 98 | |
| 11 | 2018 | 95 | |
| 12 | 2019 | 71 | |
| 13 | 2019 | 63 | |
| 14 | 2023 | 60 | |
| 15 | 2019 | 56 | |
| 16 | 2022 | 53 | |
| 17 | 2017 | 49 | |
| 18 | 2019 | 36 | |
| 19 | 2022 | 34 | |
| 20 | 2014 | 32 |
About Lin Sun
Lin Sun is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Information Systems and Molecular Biology, having authored 108 papers that have together received 2.8k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (49 papers), Text and Document Classification Technologies (24 papers), Data Mining Algorithms and Applications (21 papers), Face and Expression Recognition (15 papers), Image Retrieval and Classification Techniques (14 papers), Gene expression and cancer classification (13 papers), Imbalanced Data Classification Techniques (11 papers) and Advanced Computational Techniques and Applications (8 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Artificial Intelligence (1.5k citations), Computer Vision and Pattern Recognition (750 citations), Information Systems (706 citations) and Management Science and Operations Research (211 citations). Lin Sun has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Jiucheng Xu, Weiping Ding, Yuhua Qian, Shiguang Zhang, Yun Tian, Lanying Wang, Yu Chen, Xiaoyu Zhang, Tengyu Yin and Ying Xue. Their work appears in journals such as Information Sciences, IEEE Access, Bio-Medical Materials and Engineering, International Journal of Machine Learning and Cybernetics and Knowledge-Based 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.