Fuyi Li

7.1k citations

127 papers · 5.1k · 3 hit papers · h-index 36

Impact in

Microbiology top 1%
- Antimicrobial Peptides and Activities
Molecular Biology top 1%
- 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

Molecular Biology 78
- Machine Learning in Bioinformatics 49
- RNA and protein synthesis mechanisms 26
- Genomics and Phylogenetic Studies 24
- vaccines and immunoinformatics approaches 11
Applied Mathematics 30
- Nonlinear Partial Differential Equations 21
- Nonlinear Differential Equations Analysis 17

Co-authors: Jiangning Song (71 shared papers)Geoffrey I. Webb (31 shared papers)Tatsuya Akutsu (24 shared papers)André Leier (18 shared papers)Kuo‐Chen Chou (9 shared papers)Tatiana T. Marquez‐Lago (15 shared papers)Yuhua Li (11 shared papers)A. Ian Smith (10 shared papers)
Journals: Briefings in Bioinformatics (35 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: China Australia United States

In The Last Decade

Fuyi Li

121 papers receiving 5.0k citations

Fuyi Li's Hit Papers

align trajectories log scale

iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data 2019 · 324 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2019 Briefings in Bioinformatics
2018 Bioinformatics
2012 Journal of Differential Equations

Peers

Countries citing papers authored by Fuyi Li

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Fuyi Li Line = papers co-authored together Fuyi Li links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences Bioinformatics ·Zhen Chen, Pei Zhao, Fuyi Li, André Leier, Tatiana T. Marquez‐Lago, Yanan Wang, Geoffrey I. Webb, A. Ian Smith, Roger J. Daly, Kuo‐Chen Chou, Jiangning Song Hit paper breakdown →	2018	532
2	iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data Briefings in Bioinformatics ·Zhen Chen, Pei Zhao, Fuyi Li, Tatiana T. Marquez‐Lago, André Leier, Jerico Revote, Yan Zhu, David Powell, Tatsuya Akutsu, Geoffrey I. Webb, Kuo‐Chen Chou, A. Ian Smith, Roger J. Daly, Jian Li, Jiangning Song Hit paper breakdown →	2019	324
3	Existence of a positive solution to Kirchhoff type problems without compactness conditions Journal of Differential Equations ·Yuhua Li, Fuyi Li, Junping Shi Hit paper breakdown →	2012	261
4	iLearnPlus:a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization Nucleic Acids Research ·Zhen Chen, Pei Zhao, Chen Li, Fuyi Li, Dongxu Xiang, Yongzi Chen, Tatsuya Akutsu, Roger J. Daly, Geoffrey I. Webb, Quanzhi Zhao, Lukasz Kurgan, Jiangning Song	2021	195
5	iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites Briefings in Bioinformatics ·Jiangning Song, Yanan Wang, Fuyi Li, Tatsuya Akutsu, Neil D. Rawlings, Geoffrey I. Webb, Kuo‐Chen Chou	2018	182
6	GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome Bioinformatics ·Fuyi Li, Chen Li, Mingjun Wang, Geoffrey I. Webb, Yang Zhang, James C. Whisstock, Jiangning Song	2015	158
7	Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome Bioinformatics ·Fuyi Li, Chen Li, Tatiana T. Marquez‐Lago, André Leier, Tatsuya Akutsu, Anthony W. Purcell, A. Ian Smith, Trevor Lithgow, Roger J. Daly, Jiangning Song, Kuo‐Chen Chou	2018	146
8	An Interpretable Prediction Model for Identifying N7-Methylguanosine Sites Based on XGBoost and SHAP Molecular Therapy — Nucleic Acids ·Yue Bi, Dongxu Xiang, Zongyuan Ge, Fuyi Li, Cangzhi Jia, Jiangning Song	2020	126
9	PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework Journal of Theoretical Biology ·Jiangning Song, Fuyi Li, Kazuhiro Takemoto, Gholamreza Haffari, Tatsuya Akutsu, Kuo‐Chen Chou, Geoffrey I. Webb	2018	124
10	A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction Briefings in Bioinformatics ·Shutao Mei, Fuyi Li, André Leier, Tatiana T. Marquez‐Lago, Kailin Giam, Nathan P. Croft, Tatsuya Akutsu, A. Ian Smith, Jian Li, Jamie Rossjohn, Anthony W. Purcell, Jiangning Song	2019	123
11	PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy Bioinformatics ·Jiangning Song, Fuyi Li, André Leier, Tatiana T. Marquez‐Lago, Tatsuya Akutsu, Gholamreza Haffari, Kuo‐Chen Chou, Geoffrey I. Webb, Robert N. Pike	2017	123
12	Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides Briefings in Bioinformatics ·Jing Xu, Fuyi Li, André Leier, Dongxu Xiang, Hsin‐Hui Shen, Tatiana T Marquez Lago, Jian Li, Dong‐Jun Yu, Jiangning Song	2021	112
13	MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters Bioinformatics ·Meng Zhang, Fuyi Li, Tatiana T. Marquez‐Lago, André Leier, Cunshuo Fan, Chee Keong Kwoh, Kuo‐Chen Chou, Jiangning Song, Cangzhi Jia	2019	112
14	Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences Briefings in Bioinformatics ·Zhen Chen, Pei Zhao, Fuyi Li, Yanan Wang, A. Ian Smith, Geoffrey I. Webb, Tatsuya Akutsu, Abdelkader Baggag, Halima Bensmail, Jiangning Song	2019	111
15	Comparative analysis and prediction of quorum-sensing peptides using feature representation learning and machine learning algorithms Briefings in Bioinformatics ·Leyi Wei, Jie Hu, Fuyi Li, Jiangning Song, Ran Su, Quan Zou	2018	108
16	Large-scale comparative assessment of computational predictors for lysine post-translational modification sites Briefings in Bioinformatics ·Zhen Chen, Xuhan Liu, Fuyi Li, Chen Li, Tatiana T. Marquez‐Lago, André Leier, Tatsuya Akutsu, Geoffrey I. Webb, Dakang Xu, (unknown), Lei Li, Kuo‐Chen Chou, Jiangning Song	2018	108
17	DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites Bioinformatics ·Fuyi Li, Jin-Xiang Chen, André Leier, Tatiana T. Marquez‐Lago, Quanzhong Liu, Yanze Wang, Jerico Revote, A. Ian Smith, Tatsuya Akutsu, Geoffrey I. Webb, Lukasz Kurgan, Jiangning Song	2019	105
18	DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites Briefings in Bioinformatics ·Quanzhong Liu, Jin-Xiang Chen, Yanze Wang, Shuqin Li, Cangzhi Jia, Jiangning Song, Fuyi Li	2020	100
19	Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods Briefings in Bioinformatics ·Fuyi Li, Yanan Wang, Chen Li, Tatiana T. Marquez‐Lago, André Leier, Neil D. Rawlings, Gholamreza Haffari, Jerico Revote, Tatsuya Akutsu, Kuo‐Chen Chou, Anthony W. Purcell, Robert N. Pike, Geoffrey I. Webb, A. Ian Smith, Trevor Lithgow, Roger J. Daly, James C. Whisstock, Jiangning Song	2018	85
20	Procleave: Predicting Protease-Specific Substrate Cleavage Sites by Combining Sequence and Structural Information Genomics Proteomics & Bioinformatics ·Fuyi Li, André Leier, (unknown), Yanan Wang, Dongxu Xiang, Tatsuya Akutsu, Geoffrey I. Webb, A. Ian Smith, Tatiana T. Marquez‐Lago, Jian Li, Jiangning Song	2020	79

About Fuyi Li

Fuyi Li is a scholar working on Molecular Biology, Applied Mathematics, Computational Theory and Mathematics, Mathematical Physics and Numerical Analysis, having authored 127 papers that have together received 5.1k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (49 papers), RNA and protein synthesis mechanisms (26 papers), Genomics and Phylogenetic Studies (24 papers), Nonlinear Partial Differential Equations (21 papers), Nonlinear Differential Equations Analysis (17 papers), vaccines and immunoinformatics approaches (11 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 (386 citations), Molecular Biology (3.7k citations), Applied Mathematics (555 citations), Computational Theory and Mathematics (689 citations) and Cancer Research (320 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.

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Fuyi Li's Hit Papers

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All Works

About Fuyi Li

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