Fule Liu
Impact in
- Molecular Biology top 5%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Protein Structure and Dynamics
- vaccines and immunoinformatics approaches
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
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- Machine Learning in Bioinformatics 5
- RNA and protein synthesis mechanisms 4
- Genomics and Phylogenetic Studies 3
- Protein Structure and Dynamics 1
- Biochemical and Structural Characterization 1
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- Nuclear Physics and Applications 2
- Radiation Detection and Scintillator Technologies 2
- Co-authors
- Bin Liu (7 shared papers)Longyun Fang (6 shared papers)Xiaolong Wang (6 shared papers)Kuo‐Chen Chou (4 shared papers)Junjie Chen (3 shared papers)Xiaolong Wang (1 shared paper)Kuo‐Chen Chou (1 shared paper)Bingquan Liu (1 shared paper)
- Journals
- Bioinformatics (1 paper)Research in Veterinary Science (1 paper)PLoS ONE (1 paper)Combinatorial Chemistry & High Throughput Screening (1 paper)Molecular BioSystems (1 paper)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Fule Liu
11 papers receiving 1.5k citations
Fule Liu's Hit Papers
Peers
Comparison fields: 5 of 69
- Molecular Biology 1.3k
- Cancer Research 152
- Microbiology 39
- Computational Theory and Mathematics 91
- Health Information Management 15
Countries citing papers authored by Fule Liu
This map shows the geographic impact of Fule Liu'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 Fule Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fule Liu more than expected).
Fields of papers citing papers by Fule Liu
This network shows the impact of papers produced by Fule Liu. 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 Fule Liu. The network helps show where Fule Liu may publish in the future.
Co-authors
The 24 scholars most cited alongside Fule Liu, 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 | Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences Hit paper breakdown → | 2015 | 663 |
| 2 | 2014 | 243 | |
| 3 | 2015 | 222 | |
| 4 | 2015 | 137 | |
| 5 | 2015 | 136 | |
| 6 | 2015 | 62 | |
| 7 | 2014 | 12 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 4 | |
| 10 | 2022 | 1 | |
| 11 | 2024 | 1 |
About Fule Liu
Fule Liu is a scholar working on Molecular Biology, Radiation, Cancer Research, Pulmonary and Respiratory Medicine and Epidemiology, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (5 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Phylogenetic Studies (3 papers), MicroRNA in disease regulation (2 papers), Nuclear Physics and Applications (2 papers), Radiation Detection and Scintillator Technologies (2 papers), Protein Structure and Dynamics (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Cancer Research (152 citations), Microbiology (39 citations), Computational Theory and Mathematics (91 citations) and Health Information Management (15 citations). Fule Liu has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Bin Liu, Longyun Fang, Xiaolong Wang, Kuo‐Chen Chou, Junjie Chen, Xiaolong Wang, Kuo‐Chen Chou, Bingquan Liu, Mengyun Zou and Yingjie Wang. Their work appears in journals such as Bioinformatics, Research in Veterinary Science, PLoS ONE, Combinatorial Chemistry & High Throughput Screening and Molecular BioSystems.
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.