Xiaoping Min
Impact in
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- Computational Drug Discovery Methods
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- Advanced biosensing and bioanalysis techniques
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
Papers in
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- Protein Structure and Dynamics 6
- Machine Learning in Bioinformatics 4
- RNA and protein synthesis mechanisms 4
- Bioinformatics and Genomic Networks 4
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- Computational Drug Discovery Methods 6
- Co-authors
- Xiangxiang Zeng (7 shared papers)Xiangyong Li (1 shared paper)Peng Tian (1 shared paper)Shengxiang Ge (17 shared papers)Xiangrong Liu (4 shared papers)Ningshao Xia (13 shared papers)Jun Zhang (5 shared papers)Quan Yuan (3 shared papers)
- Journals
- Briefings in Bioinformatics (3 papers)BMC Bioinformatics (2 papers)Frontiers in Genetics (2 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)Bioinformatics (1 paper)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Xiaoping Min
36 papers receiving 430 citations
Peers
Comparison fields: 5 of 84
- Computational Theory and Mathematics 81
- Molecular Biology 226
- Infectious Diseases 46
- Biomedical Engineering 116
- Hepatology 13
Countries citing papers authored by Xiaoping Min
This map shows the geographic impact of Xiaoping Min'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 Xiaoping Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Min more than expected).
Fields of papers citing papers by Xiaoping Min
This network shows the impact of papers produced by Xiaoping Min. 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 Xiaoping Min. The network helps show where Xiaoping Min may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping Min, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 62 | |
| 2 | 2015 | 61 | |
| 3 | 2020 | 50 | |
| 4 | 2019 | 33 | |
| 5 | 2018 | 31 | |
| 6 | 2018 | 22 | |
| 7 | 2019 | 20 | |
| 8 | 2021 | 17 | |
| 9 | 2016 | 15 | |
| 10 | 2016 | 15 | |
| 11 | 2016 | 12 | |
| 12 | 2020 | 8 | |
| 13 | 2017 | 7 | |
| 14 | 2014 | 7 | |
| 15 | 2017 | 7 | |
| 16 | 2017 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2023 | 5 |
About Xiaoping Min
Xiaoping Min is a scholar working on Molecular Biology, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 40 papers that have together received 437 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (6 papers), Face and Expression Recognition (4 papers), Machine Learning in Bioinformatics (4 papers), RNA and protein synthesis mechanisms (4 papers), Bioinformatics and Genomic Networks (4 papers), Hepatitis B Virus Studies (3 papers) and Biosensors and Analytical Detection (3 papers). The work is most often cited by research in Computational Theory and Mathematics (81 citations), Molecular Biology (226 citations), Infectious Diseases (46 citations), Biomedical Engineering (116 citations) and Hepatology (13 citations). Xiaoping Min has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Xiangxiang Zeng, Xiangyong Li, Peng Tian, Shengxiang Ge, Xiangrong Liu, Ningshao Xia, Jun Zhang, Quan Yuan, Liuwei Song and Chen Lin. Their work appears in journals such as Briefings in Bioinformatics, BMC Bioinformatics, Frontiers in Genetics, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Bioinformatics.
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.