Minh Tang

51 papers and 1.0k indexed citations i.

About

Minh Tang is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Minh Tang has authored 51 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistical and Nonlinear Physics, 19 papers in Artificial Intelligence and 15 papers in Statistics and Probability. Recurrent topics in Minh Tang’s work include Complex Network Analysis Techniques (24 papers), Graph theory and applications (10 papers) and Random Matrices and Applications (8 papers). Minh Tang is often cited by papers focused on Complex Network Analysis Techniques (24 papers), Graph theory and applications (10 papers) and Random Matrices and Applications (8 papers). Minh Tang collaborates with scholars based in United States, New Zealand and Hong Kong. Minh Tang's co-authors include Carey E. Priebe, Daniel L. Sussman, Vince Lyzinski, Avanti Athreya, Youngser Park, Donniell E. Fishkind, Joshua Cape, Joshua T Vogelstein, Heng Wang and Keith Levin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of the American Statistical Association.

In The Last Decade

Co-authorship network of co-authors of Minh Tang i

Fields of papers citing papers by Minh Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minh Tang. 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 Minh Tang. The network helps show where Minh Tang may publish in the future.

Countries citing papers authored by Minh Tang

Since Specialization
Citations

This map shows the geographic impact of Minh Tang'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 Minh Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minh Tang 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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2025