Paul S. Wang

34 papers and 587 indexed citations i.

About

Paul S. Wang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Paul S. Wang has authored 34 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Theory and Mathematics, 12 papers in Artificial Intelligence and 6 papers in Biomedical Engineering. Recurrent topics in Paul S. Wang’s work include Polynomial and algebraic computation (13 papers), Biodiesel Production and Applications (6 papers) and Coding theory and cryptography (5 papers). Paul S. Wang is often cited by papers focused on Polynomial and algebraic computation (13 papers), Biodiesel Production and Applications (6 papers) and Coding theory and cryptography (5 papers). Paul S. Wang collaborates with scholars based in United States, China and United Kingdom. Paul S. Wang's co-authors include Carl M. Bender, Mustafa Ertunç Tat, Linda Preiss Rothschild, James H. Davenport, Jon H. Van Gerpen, Jon Van Gerpen, Richard Pavelle, Thomas E. Clemente, Douglas A. Young and Barry Trager and has published in prestigious journals such as Mathematics of Computation, Journal of the ACM and Journal of the American Oil Chemists Society.

In The Last Decade

Co-authorship network of co-authors of Paul S. Wang i

Fields of papers citing papers by Paul S. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul S. Wang. 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 Paul S. Wang. The network helps show where Paul S. Wang may publish in the future.

Countries citing papers authored by Paul S. Wang

Since Specialization
Citations

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