Xiaoli Lin
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
Papers in
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- Computational Drug Discovery Methods 23
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- Protein Structure and Dynamics 20
- Bioinformatics and Genomic Networks 14
- Machine Learning in Bioinformatics 12
- RNA and protein synthesis mechanisms 5
- Co-authors
- Xiaolong Zhang (32 shared papers)Xin Xu (3 shared papers)Desmond Lam (1 shared paper)Shuo Zhang (1 shared paper)Qianqian Huang (2 shared papers)Qing Ye (2 shared papers)Nan Mu (1 shared paper)Tingting Li (1 shared paper)
In The Last Decade
Xiaoli Lin
67 papers receiving 496 citations
Peers
Comparison fields: 5 of 109
- Computational Theory and Mathematics 146
- Molecular Biology 237
- Health Informatics 3
- Transplantation 5
- Artificial Intelligence 58
Countries citing papers authored by Xiaoli Lin
This map shows the geographic impact of Xiaoli Lin'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 Xiaoli Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Lin more than expected).
Fields of papers citing papers by Xiaoli Lin
This network shows the impact of papers produced by Xiaoli Lin. 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 Xiaoli Lin. The network helps show where Xiaoli Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli Lin, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 44 | |
| 2 | 2015 | 24 | |
| 3 | 2025 | 24 | |
| 4 | 2018 | 22 | |
| 5 | 2014 | 21 | |
| 6 | 2023 | 19 | |
| 7 | 2020 | 19 | |
| 8 | 2018 | 19 | |
| 9 | 2023 | 17 | |
| 10 | 2022 | 16 | |
| 11 | 2007 | 15 | |
| 12 | 2021 | 14 | |
| 13 | 2006 | 14 | |
| 14 | 2022 | 14 | |
| 15 | 2018 | 14 | |
| 16 | 2009 | 13 | |
| 17 | 2023 | 12 | |
| 18 | 2023 | 10 | |
| 19 | Guanxi and word-of-mouth | 2003 | 10 |
| 20 | 2020 | 8 |
About Xiaoli Lin
Xiaoli Lin is a scholar working on Computational Theory and Mathematics, Molecular Biology, Computer Vision and Pattern Recognition, Neurology and Materials Chemistry, having authored 79 papers that have together received 505 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (23 papers), Protein Structure and Dynamics (20 papers), Bioinformatics and Genomic Networks (14 papers), Machine Learning in Bioinformatics (12 papers), RNA and protein synthesis mechanisms (5 papers), Enzyme Structure and Function (4 papers), Machine Learning in Materials Science (4 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Computational Theory and Mathematics (146 citations), Molecular Biology (237 citations), Health Informatics (3 citations), Transplantation (5 citations) and Artificial Intelligence (58 citations). Xiaoli Lin has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Xiaolong Zhang, Xin Xu, Desmond Lam, Shuo Zhang, Qianqian Huang, Qing Ye, Nan Mu, Tingting Li, Hailing Jin and Xuan Liu. Their work appears in journals such as IEEE Transactions on Computational Biology and Bioinformatics, Frontiers in Immunology, Lecture notes in computer science, Frontiers in Plant Science and BMC Plant Biology.
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.