Lezheng Yu
Impact in
- Molecular Biology top 10%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- vaccines and immunoinformatics approaches
- Biochemical and Structural Characterization
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- Computational Drug Discovery Methods
Papers in
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- Machine Learning in Bioinformatics 18
- Genomics and Phylogenetic Studies 13
- RNA and protein synthesis mechanisms 9
- Protein Structure and Dynamics 5
- Bioinformatics and Genomic Networks 3
- vaccines and immunoinformatics approaches 2
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- Computational Drug Discovery Methods 2
- Co-authors
- Menglong Li (14 shared papers)Yanzhi Guo (9 shared papers)Zhining Wen (2 shared papers)Jiesi Luo (13 shared papers)Yizhou Li (9 shared papers)Li V. Yang (2 shared papers)Yuhong Zeng (2 shared papers)Runyu Jing (13 shared papers)
In The Last Decade
Lezheng Yu
25 papers receiving 1.1k citations
Lezheng Yu's Hit Papers
Peers
Comparison fields: 5 of 68
- Molecular Biology 1.0k
- Computational Theory and Mathematics 234
- Microbiology 34
- Biophysics 13
- Endocrinology 11
Countries citing papers authored by Lezheng Yu
This map shows the geographic impact of Lezheng Yu'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 Lezheng Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lezheng Yu more than expected).
Fields of papers citing papers by Lezheng Yu
This network shows the impact of papers produced by Lezheng Yu. 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 Lezheng Yu. The network helps show where Lezheng Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lezheng Yu, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Using support vector machine combined with auto covariance to predict protein–protein interactions from protein sequences Hit paper breakdown → | 2008 | 531 |
| 2 | 2009 | 183 | |
| 3 | 2010 | 109 | |
| 4 | 2020 | 71 | |
| 5 | 2011 | 39 | |
| 6 | 2022 | 35 | |
| 7 | 2010 | 32 | |
| 8 | 2010 | 23 | |
| 9 | 2011 | 20 | |
| 10 | 2013 | 14 | |
| 11 | 2021 | 13 | |
| 12 | 2018 | 13 | |
| 13 | 2021 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2011 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2009 | 4 |
About Lezheng Yu
Lezheng Yu is a scholar working on Molecular Biology, Computational Theory and Mathematics, Genetics, Endocrinology and Epidemiology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (18 papers), Genomics and Phylogenetic Studies (13 papers), RNA and protein synthesis mechanisms (9 papers), Protein Structure and Dynamics (5 papers), Bioinformatics and Genomic Networks (3 papers), Vibrio bacteria research studies (2 papers), Computational Drug Discovery Methods (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Computational Theory and Mathematics (234 citations), Microbiology (34 citations), Biophysics (13 citations) and Endocrinology (11 citations). Lezheng Yu has collaborated with scholars based in China and Poland. Frequent co-authors include Menglong Li, Yanzhi Guo, Zhining Wen, Jiesi Luo, Yizhou Li, Li V. Yang, Yuhong Zeng, Runyu Jing, Rong-quan Xiao and Fengjuan Liu. Their work appears in journals such as Frontiers in Microbiology, Chemometrics and Intelligent Laboratory Systems, Journal of Theoretical Biology, iScience and ACS Omega.
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.