Fuyi Li
Impact in
- Microbiology top 1%
- Molecular Biology top 2%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- vaccines and immunoinformatics approaches
- RNA modifications and cancer
- Protein Structure and Dynamics
Papers in
-
- Nonlinear Partial Differential Equations 21
- Nonlinear Differential Equations Analysis 17
-
- Differential Equations and Numerical Methods 9
- Co-authors
- Jiangning SongGeoffrey I. WebbTatsuya AkutsuAndré LeierKuo‐Chen ChouTatiana T. Marquez‐LagoYuhua LiA. Ian Smith
- Journals
- Briefings in Bioinformatics (34 papers)Journal of Mathematical Analysis and Applications (13 papers)Bioinformatics (11 papers)IEEE Journal of Biomedical and Health Informatics (4 papers)Nonlinear Analysis (4 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Fuyi Li
118 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Microbiology 396
- Molecular Biology 3.8k
- Applied Mathematics 553
- Computational Theory and Mathematics 713
- Cancer Research 342
Countries citing papers authored by Fuyi Li
This map shows the geographic impact of Fuyi 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 Fuyi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuyi Li more than expected).
Fields of papers citing papers by Fuyi Li
This network shows the impact of papers produced by Fuyi 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 Fuyi Li. The network helps show where Fuyi Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fuyi 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 8 | |
| 10 | 2023 | 18 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 18 | |
| 14 | 2022 | 57 | |
| 15 | 2021 | 23 | |
| 16 | 2021 | 20 | |
| 17 | 2020 | 74 | |
| 18 | 2019 | 33 | |
| 19 | 2019 | 27 | |
| 20 | 2018 | 108 |
About Fuyi Li
Fuyi Li is a scholar working on Applied Mathematics, Numerical Analysis, Mathematical Physics, Molecular Biology and Microbiology, having authored 126 papers that have together received 4.9k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (51 papers), RNA and protein synthesis mechanisms (34 papers), Genomics and Phylogenetic Studies (29 papers), Nonlinear Partial Differential Equations (21 papers), Nonlinear Differential Equations Analysis (17 papers), vaccines and immunoinformatics approaches (13 papers), Advanced Mathematical Physics Problems (9 papers) and Differential Equations and Numerical Methods (9 papers). The work is most often cited by research in Microbiology (396 citations), Molecular Biology (3.8k citations), Applied Mathematics (553 citations), Computational Theory and Mathematics (713 citations) and Cancer Research (342 citations). Fuyi Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jiangning Song, Geoffrey I. Webb, Tatsuya Akutsu, André Leier, Kuo‐Chen Chou, Tatiana T. Marquez‐Lago, Yuhua Li, A. Ian Smith, Yanan Wang and Roger J. Daly. Their work appears in journals such as Briefings in Bioinformatics, Journal of Mathematical Analysis and Applications, Bioinformatics, IEEE Journal of Biomedical and Health Informatics and Nonlinear Analysis.
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.