Leyi Wei
Impact in
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
- Molecular Biology top 0.5%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- vaccines and immunoinformatics approaches
- RNA modifications and cancer
Papers in
-
- Machine Learning in Bioinformatics 86
- RNA and protein synthesis mechanisms 43
- Genomics and Phylogenetic Studies 25
- vaccines and immunoinformatics approaches 25
- Protein Structure and Dynamics 18
- RNA modifications and cancer 15
-
- Computational Drug Discovery Methods 33
- Co-authors
- Ran Su (62 shared papers)Quan Zou (50 shared papers)Pengwei Xing (6 shared papers)Balachandran Manavalan (18 shared papers)Jijun Tang (6 shared papers)Qiangguo Jin (14 shared papers)Gwang Lee (5 shared papers)Shaherin Basith (5 shared papers)
In The Last Decade
Leyi Wei
167 papers receiving 9.0k citations
Leyi Wei's Hit Papers
Peers
Comparison fields: 5 of 164
- Microbiology 802
- Molecular Biology 6.7k
- Computational Theory and Mathematics 1.2k
- Cancer Research 718
- Radiology, Nuclear Medicine and Imaging 682
Countries citing papers authored by Leyi Wei
This map shows the geographic impact of Leyi Wei'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 Leyi Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leyi Wei more than expected).
Fields of papers citing papers by Leyi Wei
This network shows the impact of papers produced by Leyi Wei. 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 Leyi Wei. The network helps show where Leyi Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Leyi Wei, 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 178 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DUNet: A deformable network for retinal vessel segmentation Hit paper breakdown → | 2019 | 639 |
| 2 | Gene2vec: gene subsequence embedding for prediction of mammalian N 6 -methyladenosine sites from mRNA Hit paper breakdown → | 2018 | 440 |
| 3 | ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides Hit paper breakdown → | 2018 | 379 |
| 4 | 2016 | 231 | |
| 5 | 2018 | 229 | |
| 6 | 2017 | 214 | |
| 7 | 2013 | 210 | |
| 8 | 2019 | 202 | |
| 9 | 2019 | 198 | |
| 10 | 2017 | 197 | |
| 11 | 2017 | 188 | |
| 12 | 2017 | 187 | |
| 13 | 2018 | 165 | |
| 14 | 2017 | 164 | |
| 15 | 2019 | 159 | |
| 16 | 2018 | 157 | |
| 17 | 2019 | 152 | |
| 18 | 2019 | 148 | |
| 19 | 2018 | 144 | |
| 20 | 2018 | 133 |
About Leyi Wei
Leyi Wei is a scholar working on Molecular Biology, Computational Theory and Mathematics, Microbiology, Artificial Intelligence and Cancer Research, having authored 178 papers that have together received 9.1k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (86 papers), RNA and protein synthesis mechanisms (43 papers), Computational Drug Discovery Methods (33 papers), Genomics and Phylogenetic Studies (25 papers), vaccines and immunoinformatics approaches (25 papers), Antimicrobial Peptides and Activities (18 papers), Protein Structure and Dynamics (18 papers) and RNA modifications and cancer (15 papers). The work is most often cited by research in Microbiology (802 citations), Molecular Biology (6.7k citations), Computational Theory and Mathematics (1.2k citations), Cancer Research (718 citations) and Radiology, Nuclear Medicine and Imaging (682 citations). Leyi Wei has collaborated with scholars based in China, Macao and Australia. Frequent co-authors include Ran Su, Quan Zou, Pengwei Xing, Balachandran Manavalan, Jijun Tang, Qiangguo Jin, Gwang Lee, Shaherin Basith, Zhaopeng Meng and Tae Hwan Shin. Their work appears in journals such as Briefings in Bioinformatics, Bioinformatics, Journal of Chemical Information and Modeling, Computers in Biology and Medicine 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.