Min Sha
Impact in
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- Analytic Number Theory Research
- Geometry and Topology top 10%
- Algebraic Geometry and Number Theory
Papers in
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- Algebraic Geometry and Number Theory 23
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- Analytic Number Theory Research 20
- Co-authors
- Junxing Huang (1 shared paper)Mei Lin (1 shared paper)Artūras Dubickas (7 shared papers)Haibo Luo (1 shared paper)Xiang Li (1 shared paper)Qinghai Ding (1 shared paper)Moran Ju (1 shared paper)Guangqi Liu (1 shared paper)
In The Last Decade
Min Sha
33 papers receiving 178 citations
Peers
Comparison fields: 5 of 68
- Algebra and Number Theory 41
- Geometry and Topology 48
- Discrete Mathematics and Combinatorics 10
- Mathematical Physics 27
- Artificial Intelligence 74
Countries citing papers authored by Min Sha
This map shows the geographic impact of Min Sha'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 Min Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Sha more than expected).
Fields of papers citing papers by Min Sha
This network shows the impact of papers produced by Min Sha. 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 Min Sha. The network helps show where Min Sha may publish in the future.
Co-authors
The 23 scholars most cited alongside Min Sha, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 56 | |
| 2 | 2014 | 41 | |
| 3 | 2011 | 10 | |
| 4 | 2015 | 8 | |
| 5 | 2015 | 7 | |
| 6 | 2013 | 5 | |
| 7 | 2014 | 4 | |
| 8 | 2015 | 4 | |
| 9 | 2019 | 4 | |
| 10 | 2015 | 4 | |
| 11 | 2019 | 4 | |
| 12 | 2019 | 4 | |
| 13 | 2019 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2015 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2015 | 2 | |
| 19 | 2014 | 2 | |
| 20 | 2018 | 2 |
About Min Sha
Min Sha is a scholar working on Geometry and Topology, Algebra and Number Theory, Mathematical Physics, Artificial Intelligence and Information Systems, having authored 41 papers that have together received 189 indexed citations. Recurring topics across this work include Algebraic Geometry and Number Theory (23 papers), Analytic Number Theory Research (20 papers), Coding theory and cryptography (12 papers), Cryptography and Residue Arithmetic (8 papers), Advanced Algebra and Geometry (8 papers), Mathematical Dynamics and Fractals (4 papers), graph theory and CDMA systems (4 papers) and Polynomial and algebraic computation (3 papers). The work is most often cited by research in Algebra and Number Theory (41 citations), Geometry and Topology (48 citations), Discrete Mathematics and Combinatorics (10 citations), Mathematical Physics (27 citations) and Artificial Intelligence (74 citations). Min Sha has collaborated with scholars based in Australia, China and Lithuania. Frequent co-authors include Junxing Huang, Mei Lin, Artūras Dubickas, Haibo Luo, Xiang Li, Qinghai Ding, Moran Ju, Guangqi Liu, Alina Ostafe and Igor E. Shparlinski. Their work appears in journals such as Journal of Number Theory, Acta Arithmetica, Finite Fields and Their Applications, International Journal of Number Theory and International Mathematics Research Notices.
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.