Shaoping Shi
Impact in
- Molecular Biology top 10%
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- vaccines and immunoinformatics approaches
- Protein Structure and Dynamics
- Microbiology top 10%
Papers in
-
- Machine Learning in Bioinformatics 32
- Genomics and Phylogenetic Studies 16
- Protein Structure and Dynamics 10
- Cancer-related gene regulation 5
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- Advanced Fiber Laser Technologies 8
- Co-authors
- Jian-Ding Qiu (27 shared papers)Ru‐Ping Liang (15 shared papers)Shengbao Suo (16 shared papers)Shuyun Huang (12 shared papers)Xing‐Yu Sun (10 shared papers)Haodong Xu (9 shared papers)Pingping Wen (8 shared papers)Yaohui Zheng (17 shared papers)
- Journals
- Bioinformatics (8 papers)Optics Letters (6 papers)Briefings in Bioinformatics (4 papers)Journal of Chemical Information and Modeling (4 papers)Molecular BioSystems (4 papers)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Shaoping Shi
62 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.2k
- Microbiology 65
- Atomic and Molecular Physics, and Optics 247
- Computational Theory and Mathematics 130
- Artificial Intelligence 210
Countries citing papers authored by Shaoping Shi
This map shows the geographic impact of Shaoping Shi'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 Shaoping Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoping Shi more than expected).
Fields of papers citing papers by Shaoping Shi
This network shows the impact of papers produced by Shaoping Shi. 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 Shaoping Shi. The network helps show where Shaoping Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoping Shi, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 110 | |
| 2 | 2013 | 106 | |
| 3 | 2012 | 84 | |
| 4 | 2012 | 77 | |
| 5 | 2020 | 68 | |
| 6 | 2012 | 68 | |
| 7 | 2012 | 66 | |
| 8 | 2017 | 63 | |
| 9 | 2018 | 59 | |
| 10 | 2015 | 58 | |
| 11 | 2016 | 57 | |
| 12 | 2016 | 51 | |
| 13 | 2011 | 50 | |
| 14 | 2011 | 48 | |
| 15 | 2018 | 39 | |
| 16 | 2012 | 35 | |
| 17 | 2018 | 32 | |
| 18 | 2018 | 32 | |
| 19 | 2013 | 28 | |
| 20 | 2022 | 27 |
About Shaoping Shi
Shaoping Shi is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Artificial Intelligence and Spectroscopy, having authored 64 papers that have together received 1.6k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (32 papers), Genomics and Phylogenetic Studies (16 papers), Quantum Information and Cryptography (11 papers), Protein Structure and Dynamics (10 papers), Computational Drug Discovery Methods (8 papers), Advanced Fiber Laser Technologies (8 papers), Cancer-related gene regulation (5 papers) and Quantum Computing Algorithms and Architecture (5 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Microbiology (65 citations), Atomic and Molecular Physics, and Optics (247 citations), Computational Theory and Mathematics (130 citations) and Artificial Intelligence (210 citations). Shaoping Shi has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Jian-Ding Qiu, Ru‐Ping Liang, Shengbao Suo, Shuyun Huang, Xing‐Yu Sun, Haodong Xu, Pingping Wen, Yaohui Zheng, Yajun Wang and Kunchi Peng. Their work appears in journals such as Bioinformatics, Optics Letters, Briefings in Bioinformatics, Journal of Chemical Information and Modeling 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.