Bin Shu
Impact in
- Algebra and Number Theory top 5%
- Advanced Topics in Algebra
- Geometry and Topology top 5%
- Algebraic structures and combinatorial models
Papers in
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- Algebraic structures and combinatorial models 39
-
- Advanced Topics in Algebra 40
- Co-authors
- Yun Guan (8 shared papers)Huilian Bu (6 shared papers)Shao-Qiu He (5 shared papers)Xuehai Guan (5 shared papers)Zhenzhou Jiang (4 shared papers)Hong‐Bing Xiang (4 shared papers)Yuke Tian (4 shared papers)Fei Yang (6 shared papers)
- Journals
- Journal of Algebra (11 papers)Heliyon (4 papers)Forum Mathematicum (3 papers)Publications of the Research Institute for Mathematical Sciences (3 papers)Algebras and Representation Theory (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bin Shu
102 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 139
- Algebra and Number Theory 181
- Geometry and Topology 188
- Anesthesiology and Pain Medicine 122
- Physiology 507
- Complementary and alternative medicine 146
Countries citing papers authored by Bin Shu
This map shows the geographic impact of Bin Shu'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 Bin Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Shu more than expected).
Fields of papers citing papers by Bin Shu
This network shows the impact of papers produced by Bin Shu. 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 Bin Shu. The network helps show where Bin Shu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Shu, 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 96 | |
| 2 | 2014 | 93 | |
| 3 | 2014 | 86 | |
| 4 | 2013 | 72 | |
| 5 | 2011 | 63 | |
| 6 | 2015 | 60 | |
| 7 | 2012 | 58 | |
| 8 | 2016 | 58 | |
| 9 | 2010 | 57 | |
| 10 | 2014 | 49 | |
| 11 | 2016 | 45 | |
| 12 | 2018 | 44 | |
| 13 | 2014 | 43 | |
| 14 | 2021 | 40 | |
| 15 | 2015 | 38 | |
| 16 | 2020 | 32 | |
| 17 | 2020 | 28 | |
| 18 | 2010 | 24 | |
| 19 | 2007 | 19 | |
| 20 | 2020 | 18 |
About Bin Shu
Bin Shu is a scholar working on Geometry and Topology, Algebra and Number Theory, Mathematical Physics, Statistical and Nonlinear Physics and Physiology, having authored 119 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Topics in Algebra (40 papers), Algebraic structures and combinatorial models (39 papers), Advanced Algebra and Geometry (26 papers), Nonlinear Waves and Solitons (17 papers), Pain Mechanisms and Treatments (16 papers), Neuropeptides and Animal Physiology (6 papers), Anesthesia and Pain Management (6 papers) and Phytochemicals and Antioxidant Activities (5 papers). The work is most often cited by research in Algebra and Number Theory (181 citations), Geometry and Topology (188 citations), Anesthesiology and Pain Medicine (122 citations), Physiology (507 citations) and Complementary and alternative medicine (146 citations). Bin Shu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yun Guan, Huilian Bu, Shao-Qiu He, Xuehai Guan, Zhenzhou Jiang, Hong‐Bing Xiang, Yuke Tian, Fei Yang, Vinod Tiwari and Srinivasa N. Raja. Their work appears in journals such as Journal of Algebra, Heliyon, Forum Mathematicum, Publications of the Research Institute for Mathematical Sciences and Algebras and Representation Theory.
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.