Yongdai Kim

103 papers and 1.7k indexed citations i.

About

Yongdai Kim is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Yongdai Kim has authored 103 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Statistics and Probability, 35 papers in Artificial Intelligence and 9 papers in Molecular Biology. Recurrent topics in Yongdai Kim’s work include Statistical Methods and Inference (33 papers), Bayesian Methods and Mixture Models (15 papers) and Statistical Methods and Bayesian Inference (15 papers). Yongdai Kim is often cited by papers focused on Statistical Methods and Inference (33 papers), Bayesian Methods and Mixture Models (15 papers) and Statistical Methods and Bayesian Inference (15 papers). Yongdai Kim collaborates with scholars based in South Korea, United States and Germany. Yongdai Kim's co-authors include Hosik Choi, Byung-Joon Shin, Jae Chul Lee, Sunghoon Kwon, Hee‐Seok Oh, Jaeyong Lee, Lan Wang, Runze Li, June Young Chun and Jong‐June Jeon and has published in prestigious journals such as Journal of the American Statistical Association, PEDIATRICS and Journal of Management.

In The Last Decade

Co-authorship network of co-authors of Yongdai Kim i

Fields of papers citing papers by Yongdai Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yongdai Kim

Since Specialization
Citations

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