Le Ou-Yang
Impact in
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Single-cell and spatial transcriptomics
- Machine Learning in Bioinformatics
- Microbial Metabolic Engineering and Bioproduction
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 45
- Gene expression and cancer classification 27
- Single-cell and spatial transcriptomics 20
- Gene Regulatory Network Analysis 16
- Machine Learning in Bioinformatics 5
- Protein Structure and Dynamics 5
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- Computational Drug Discovery Methods 12
- Co-authors
- Xiao-Fei Zhang (41 shared papers)Hong Yan (30 shared papers)Dao‐Qing Dai (13 shared papers)Min Wu (10 shared papers)Xiaoli Li (8 shared papers)Xing‐Ming Zhao (5 shared papers)Xiaohua Hu (9 shared papers)Mengyun Wu (6 shared papers)
In The Last Decade
Le Ou-Yang
94 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 821
- Computational Theory and Mathematics 204
- Computational Mathematics 7
- Cancer Research 94
- Statistical and Nonlinear Physics 54
Countries citing papers authored by Le Ou-Yang
This map shows the geographic impact of Le Ou-Yang'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 Le Ou-Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Ou-Yang more than expected).
Fields of papers citing papers by Le Ou-Yang
This network shows the impact of papers produced by Le Ou-Yang. 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 Le Ou-Yang. The network helps show where Le Ou-Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Le Ou-Yang, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 64 | |
| 2 | 2020 | 61 | |
| 3 | 2014 | 61 | |
| 4 | 2015 | 47 | |
| 5 | 2014 | 38 | |
| 6 | 2024 | 35 | |
| 7 | 2017 | 35 | |
| 8 | 2015 | 34 | |
| 9 | 2020 | 33 | |
| 10 | 2019 | 32 | |
| 11 | 2016 | 30 | |
| 12 | 2013 | 29 | |
| 13 | 2019 | 28 | |
| 14 | 2020 | 26 | |
| 15 | 2019 | 26 | |
| 16 | 2020 | 24 | |
| 17 | 2018 | 24 | |
| 18 | 2017 | 22 | |
| 19 | 2016 | 20 | |
| 20 | 2012 | 20 |
About Le Ou-Yang
Le Ou-Yang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Cancer Research and Artificial Intelligence, having authored 99 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (45 papers), Gene expression and cancer classification (27 papers), Single-cell and spatial transcriptomics (20 papers), Gene Regulatory Network Analysis (16 papers), Computational Drug Discovery Methods (12 papers), Machine Learning in Bioinformatics (5 papers), Cancer-related molecular mechanisms research (5 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Molecular Biology (821 citations), Computational Theory and Mathematics (204 citations), Computational Mathematics (7 citations), Cancer Research (94 citations) and Statistical and Nonlinear Physics (54 citations). Le Ou-Yang has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Xiao-Fei Zhang, Hong Yan, Dao‐Qing Dai, Min Wu, Xiaoli Li, Xing‐Ming Zhao, Xiaohua Hu, Mengyun Wu, Yuan Zhu and Zexuan Zhu. Their work appears in journals such as Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, BMC Bioinformatics, Briefings in Bioinformatics and IEEE Journal of Biomedical and Health Informatics.
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.