Li Liao
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Plant Science
- Computer Vision and Pattern Recognition
- Co-authors
- William Stafford NobleCathy WuÁlvaro GonzálezYuhang ChenQiaosheng GuoZaibiao ZhuLei HuangJianzhong Zhou
- Topics
- Machine Learning in Bioinformatics (21 papers)Protein Structure and Dynamics (15 papers)Bioinformatics and Genomic Networks (13 papers)
- Journals
- BioinformaticsPLoS ONEThe Plant Cell
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Li Liao
52 papers receiving 621 citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 429
- Computational Theory and Mathematics 93
- Artificial Intelligence 82
- Plant Science 53
- Computer Vision and Pattern Recognition 37
Countries citing papers authored by Li Liao
This map shows the geographic impact of Li Liao'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 Li Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Liao more than expected).
Fields of papers citing papers by Li Liao
This network shows the impact of papers produced by Li Liao. 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 Li Liao. The network helps show where Li Liao may publish in the future.
Co-authorship network of co-authors of Li Liao
This figure shows the co-authorship network connecting the top 25 collaborators of Li Liao. A scholar is included among the top collaborators of Li Liao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Li Liao. Li Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 7 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 32 | |
| 10 | 9 | |
| 11 | 5 | |
| 12 | Rapid detection of Cucumber green mottle mosaic virus by RT-PCR. | 1 |
| 13 | 51 | |
| 14 | Comparative Analyses of Bioactive Constituents from Forsythia suspensa and Forsythia viridissima by HPLC-DAD | 3 |
| 15 | QSRR Study on the Components of Styrax Japonicus Sieb Flowers Using Improved Molecular Electronegativity-distance Vector (I-MEDV) | 1 |
| 16 | Study on Influencing Factors of Nursing Students' Compliance of Standard Precaution | 2 |
| 17 | 7 | |
| 18 | 4 | |
| 19 | Using extended phylogenetc profiles and support vector machines for protein family classification. | 1 |
| 20 | 4 |
About Li Liao
Li Liao is a scholar working on Computational Theory and Mathematics, Molecular Biology and Geometry and Topology, having authored 58 papers that have together received 663 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (21 papers), Protein Structure and Dynamics (15 papers) and Bioinformatics and Genomic Networks (13 papers). The work is most often cited by research in Molecular Biology (429 citations), Computational Theory and Mathematics (93 citations) and Geometry and Topology (35 citations). Li Liao has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include William Stafford Noble, Cathy Wu, Álvaro González, Yuhang Chen, Qiaosheng Guo, Zaibiao Zhu, Lei Huang, Jianzhong Zhou, Qiang Zou and Jae Hong Park. Their work appears in journals such as Bioinformatics, PLoS ONE and The Plant Cell.
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.