Hosik Choi

About

Hosik Choi is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Hosik Choi has authored 43 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 9 papers in Statistics and Probability and 7 papers in Molecular Biology. Recurrent topics in Hosik Choi’s work include Statistical Methods and Inference (7 papers), Bayesian Methods and Mixture Models (6 papers) and Gene expression and cancer classification (5 papers). Hosik Choi is often cited by papers focused on Statistical Methods and Inference (7 papers), Bayesian Methods and Mixture Models (6 papers) and Gene expression and cancer classification (5 papers). Hosik Choi collaborates with scholars based in South Korea and United States. Hosik Choi's co-authors include Yongdai Kim, Hee‐Seok Oh, H. Nagai, Jun Guo, Viswanath P. Kurup, Sunghoon Kwon, Cheolwoo Park, Changyi Park, Liyu Wang and Seokho Lee and has published in prestigious journals such as Journal of the American Statistical Association, Genetics and Biometrics.

In The Last Decade

Co-authorship network of co-authors of Hosik Choi i

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Fields of papers citing papers by Hosik Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hosik Choi

Since Specialization

Citations

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