Jaeyong Lee

59 papers and 692 indexed citations i.

About

Jaeyong Lee is a scholar working on Artificial Intelligence, Statistics and Probability and Global and Planetary Change. According to data from OpenAlex, Jaeyong Lee has authored 59 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 26 papers in Statistics and Probability and 8 papers in Global and Planetary Change. Recurrent topics in Jaeyong Lee’s work include Bayesian Methods and Mixture Models (22 papers), Statistical Methods and Inference (21 papers) and Statistical Methods and Bayesian Inference (16 papers). Jaeyong Lee is often cited by papers focused on Bayesian Methods and Mixture Models (22 papers), Statistical Methods and Inference (21 papers) and Statistical Methods and Bayesian Inference (16 papers). Jaeyong Lee collaborates with scholars based in South Korea, United States and Malaysia. Jaeyong Lee's co-authors include David B. Dunson, Artin Armagan, Yongdai Kim, Sarat C. Dass, James O. Berger, Peter Müller, Fernando A. Quintana, Lorenzo Trippa, David Wright and Hee‐Seok Oh and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Jaeyong Lee i

Fields of papers citing papers by Jaeyong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jaeyong Lee

Since Specialization
Citations

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