Sangun Park

59 papers and 655 indexed citations i.

About

Sangun Park is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Sangun Park has authored 59 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Statistics and Probability, 17 papers in Statistics, Probability and Uncertainty and 12 papers in Artificial Intelligence. Recurrent topics in Sangun Park’s work include Statistical Distribution Estimation and Applications (35 papers), Statistical Methods and Inference (16 papers) and Advanced Statistical Methods and Models (15 papers). Sangun Park is often cited by papers focused on Statistical Distribution Estimation and Applications (35 papers), Statistical Methods and Inference (16 papers) and Advanced Statistical Methods and Models (15 papers). Sangun Park collaborates with scholars based in South Korea, United States and Canada. Sangun Park's co-authors include N. Balakrishnan, Dong Wan Shin, Murali Rao, Sung Hwoan Cho, Jong Ha Lee, Sang Min Lee, Young Soo Lim, Johan Lim, Gang Zheng and Gang Zheng and has published in prestigious journals such as Nucleic Acids Research, Journal of the American Statistical Association and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of Sangun Park i

Fields of papers citing papers by Sangun Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sangun Park

Since Specialization
Citations

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