Jinyan Li
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Rough Sets and Fuzzy Logic
- Molecular Biology top 1%
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
Papers in
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- Gene expression and cancer classification 32
- Machine Learning in Bioinformatics 28
- Protein Structure and Dynamics 28
- Bioinformatics and Genomic Networks 25
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- Imbalanced Data Classification Techniques 21
- Co-authors
- Limsoon Wong (53 shared papers)Guozhu Dong (10 shared papers)Simon Fong (20 shared papers)Huiqing Liu (7 shared papers)Ming‐Liang Tong (10 shared papers)Guimei Liu (12 shared papers)Qian Liu (15 shared papers)Zhao‐Ping Ni (8 shared papers)
In The Last Decade
Jinyan Li
471 papers receiving 10.9k citations
Jinyan Li's Hit Papers
Peers
Comparison fields: 5 of 207
- Computational Theory and Mathematics 1.2k
- Molecular Biology 4.1k
- Artificial Intelligence 2.0k
- Information Systems 1.3k
- Signal Processing 476
Countries citing papers authored by Jinyan Li
This map shows the geographic impact of Jinyan Li'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 Jinyan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinyan Li more than expected).
Fields of papers citing papers by Jinyan Li
This network shows the impact of papers produced by Jinyan Li. 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 Jinyan Li. The network helps show where Jinyan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinyan Li, 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 496 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling Hit paper breakdown → | 2002 | 1373 |
| 2 | Efficient mining of emerging patterns Hit paper breakdown → | 1999 | 567 |
| 3 | 2016 | 383 | |
| 4 | A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns. | 2002 | 284 |
| 5 | 2016 | 277 | |
| 6 | 2018 | 234 | |
| 7 | 2020 | 191 | |
| 8 | 2020 | 152 | |
| 9 | 2015 | 136 | |
| 10 | 2022 | 132 | |
| 11 | 2002 | 111 | |
| 12 | 2018 | 96 | |
| 13 | 2003 | 92 | |
| 14 | 2015 | 92 | |
| 15 | 2019 | 91 | |
| 16 | 2002 | 89 | |
| 17 | 2011 | 89 | |
| 18 | 2007 | 84 | |
| 19 | 2001 | 77 | |
| 20 | 2016 | 75 |
About Jinyan Li
Jinyan Li is a scholar working on Molecular Biology, Artificial Intelligence, Materials Chemistry, Electrical and Electronic Engineering and Information Systems, having authored 496 papers that have together received 11.2k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (38 papers), Gene expression and cancer classification (32 papers), Machine Learning in Bioinformatics (28 papers), Protein Structure and Dynamics (28 papers), Bioinformatics and Genomic Networks (25 papers), Imbalanced Data Classification Techniques (21 papers), Computational Drug Discovery Methods (20 papers) and Rough Sets and Fuzzy Logic (18 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Molecular Biology (4.1k citations), Artificial Intelligence (2.0k citations), Information Systems (1.3k citations) and Signal Processing (476 citations). Jinyan Li has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Limsoon Wong, Guozhu Dong, Simon Fong, Huiqing Liu, Ming‐Liang Tong, Guimei Liu, Qian Liu, Zhao‐Ping Ni, Peng Chen and Yan‐Cong Chen. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, BMC Genomics, IEEE/ACM Transactions on Computational Biology and Bioinformatics and PLoS ONE.
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.