Young Jack Lee

33 papers and 1.5k indexed citations i.

About

Young Jack Lee is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Young Jack Lee has authored 33 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 5 papers in Statistics, Probability and Uncertainty and 4 papers in Artificial Intelligence. Recurrent topics in Young Jack Lee’s work include Statistical Methods in Clinical Trials (9 papers), Statistical Methods and Bayesian Inference (9 papers) and Advanced Statistical Methods and Models (8 papers). Young Jack Lee is often cited by papers focused on Statistical Methods in Clinical Trials (9 papers), Statistical Methods and Bayesian Inference (9 papers) and Advanced Statistical Methods and Models (8 papers). Young Jack Lee collaborates with scholars based in United States, South Korea and Ireland. Young Jack Lee's co-authors include Jonas H. Ellenberg, Deborah G. Hirtz, Karin B. Nelson, Stephen Sulzbacher, Jacqueline R. Farwell, James L. Mills, Mary Conley, Marcel Rozencweig, Maurice J. Staquet and Franco M. Muggia and has published in prestigious journals such as New England Journal of Medicine, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Co-authorship network of co-authors of Young Jack Lee i

Fields of papers citing papers by Young Jack Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Young Jack Lee

Since Specialization
Citations

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