Kean Ming Tan

About

Kean Ming Tan is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Kean Ming Tan has authored 23 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 6 papers in Computational Mechanics. Recurrent topics in Kean Ming Tan’s work include Statistical Methods and Inference (14 papers), Sparse and Compressive Sensing Techniques (6 papers) and Advanced Statistical Methods and Models (4 papers). Kean Ming Tan is often cited by papers focused on Statistical Methods and Inference (14 papers), Sparse and Compressive Sensing Techniques (6 papers) and Advanced Statistical Methods and Models (4 papers). Kean Ming Tan collaborates with scholars based in United States, Canada and China. Kean Ming Tan's co-authors include Daniela Witten, Wen‐Xin Zhou, Giang T. Ong, Anna B. Sunshine, Xuming He, Ivan Liachko, Célia Payen, Maitreya J. Dunham, Tong Zhang and Ali Shojaie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Biometrics.

In The Last Decade

Co-authorship network of co-authors of Kean Ming Tan i

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Fields of papers citing papers by Kean Ming Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kean Ming Tan. 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 Kean Ming Tan. The network helps show where Kean Ming Tan may publish in the future.

Countries citing papers authored by Kean Ming Tan

Since Specialization

Citations

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