Dei‐In Tang

19 papers and 506 indexed citations i.

About

Dei‐In Tang is a scholar working on Statistics and Probability, Management Science and Operations Research and General Health Professions. According to data from OpenAlex, Dei‐In Tang has authored 19 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 10 papers in Management Science and Operations Research and 3 papers in General Health Professions. Recurrent topics in Dei‐In Tang’s work include Statistical Methods in Clinical Trials (11 papers), Optimal Experimental Design Methods (10 papers) and Statistical Methods and Inference (5 papers). Dei‐In Tang is often cited by papers focused on Statistical Methods in Clinical Trials (11 papers), Optimal Experimental Design Methods (10 papers) and Statistical Methods and Inference (5 papers). Dei‐In Tang collaborates with scholars based in United States, Jamaica and Canada. Dei‐In Tang's co-authors include Nancy L. Geller, Clare Gnecco, Eugene Laska, Carole Siegel, Kim Hopper, Lin Shang, Morris Meisner, Margaret McCue, Timothy B. Creedon and Christopher K. Cain and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Biometrika.

In The Last Decade

Co-authorship network of co-authors of Dei‐In Tang i

Fields of papers citing papers by Dei‐In Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dei‐In Tang

Since Specialization
Citations

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