Sui Tang

About

Sui Tang is a scholar working on Statistical and Nonlinear Physics, Applied Mathematics and Computational Mechanics. According to data from OpenAlex, Sui Tang has authored 23 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistical and Nonlinear Physics, 6 papers in Applied Mathematics and 5 papers in Computational Mechanics. Recurrent topics in Sui Tang’s work include Mathematical Analysis and Transform Methods (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Complex Network Analysis Techniques (3 papers). Sui Tang is often cited by papers focused on Mathematical Analysis and Transform Methods (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Complex Network Analysis Techniques (3 papers). Sui Tang collaborates with scholars based in United States, Argentina and China. Sui Tang's co-authors include Mauro Maggioni, Fei Lu, Akram Aldroubi, Ursula Molter, Carlos Cabrelli, Yonina C. Eldar, Wenjing Liao, Yu Guo, Xueming Li and Xiaolin Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and IEEE Transactions on Information Theory.

In The Last Decade

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

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Fields of papers citing papers by Sui Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sui Tang

Since Specialization

Citations

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