Min Sha

402 citations
41 papers · 171 indexed · h-index 6

Impact in

Papers in

Min Sha

29 papers receiving 160 citations

Peers

Min Sha
Comparison fields: 5 of 66
  • Algebra and Number Theory 37
  • Geometry and Topology 43
  • Discrete Mathematics and Combinatorics 9
  • Mathematical Physics 22
  • Artificial Intelligence 65
Replace Mathieu Meyer with:
Mathieu Meyer France
Xiaoxiang Zhang China
P. R. Scott Australia
Sharad S. Sane India
P S Aleksandrov Russia
Asia Ivić Weiss Canada
Adriano Barlotti Italy
Н. П. Долбилин Russia
Claudine Peyrat France
John Bamberg Australia
Min Sha relative to Mathieu Meyer France Mathieu Meyer's profile →
Citations per field
00.5×10×13×
Mathieu Meyer · 1×
Citations per year

Countries citing papers authored by Min Sha

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Min Sha Line = papers co-authored together Min Sha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20230
3 20230
4 202251
5 20210
6 20200
7 20190
8 20191
9 20194
10 20182
11 20182
12 20160
13 20153
14 20154
15 20153
16 20142
17 20140
18
A kind of non-ideal cyclotomic families of pairing-friendly elliptic curves
20130
19
On the number of isogeny classes of ordinary pairing-friendly curves and heuristics of the Cocks-Pinch method
20121
20 20110

About Min Sha

Min Sha is a scholar working on Algebra and Number Theory, Geometry and Topology, Mathematical Physics, Theoretical Computer Science and Discrete Mathematics and Combinatorics, having authored 41 papers that have together received 171 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), Advanced Algebra and Geometry (8 papers), Cryptography and Residue Arithmetic (8 papers), graph theory and CDMA systems (4 papers), Mathematical Dynamics and Fractals (4 papers) and Polynomial and algebraic computation (3 papers). The work is most often cited by research in Algebra and Number Theory (37 citations), Geometry and Topology (43 citations), Discrete Mathematics and Combinatorics (9 citations), Mathematical Physics (22 citations) and Artificial Intelligence (65 citations). Min Sha has collaborated with scholars based in Australia, China and Lithuania. Frequent co-authors include Mei Lin, Junxing Huang, Artūras Dubickas, Moran Ju, Xiang Li, Guangqi Liu, Qinghai Ding, Haibo Luo, Alina Ostafe and Igor E. Shparlinski. Their work appears in journals such as Journal of Number Theory, Finite Fields and Their Applications, Acta Arithmetica, 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.

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