Min Sha

About

Min Sha is a scholar working on Geometry and Topology, Algebra and Number Theory and Artificial Intelligence. According to data from OpenAlex, Min Sha has authored 50 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Geometry and Topology, 28 papers in Algebra and Number Theory and 17 papers in Artificial Intelligence. Recurrent topics in Min Sha’s work include Algebraic Geometry and Number Theory (28 papers), Analytic Number Theory Research (26 papers) and Coding theory and cryptography (16 papers). Min Sha is often cited by papers focused on Algebraic Geometry and Number Theory (28 papers), Analytic Number Theory Research (26 papers) and Coding theory and cryptography (16 papers). Min Sha collaborates with scholars based in Australia, China and Lithuania. Min Sha's co-authors include Artūras Dubickas, Junxing Huang, Mei Lin, Igor E. Shparlinski, Xiang Li, Guangqi Liu, Qinghai Ding, Haibo Luo, Moran Ju and Xiumei Li and has published in prestigious journals such as Mathematics of Computation, Transactions of the American Mathematical Society and Bulletin of the London Mathematical Society.

In The Last Decade

Co-authorship network of co-authors of Min Sha i

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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.

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).

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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