Seung-Ho Kang

About

Seung-Ho Kang is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Seung-Ho Kang has authored 36 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 11 papers in Management Science and Operations Research and 7 papers in Artificial Intelligence. Recurrent topics in Seung-Ho Kang’s work include Statistical Methods in Clinical Trials (23 papers), Statistical Methods and Bayesian Inference (10 papers) and Optimal Experimental Design Methods (9 papers). Seung-Ho Kang is often cited by papers focused on Statistical Methods in Clinical Trials (23 papers), Statistical Methods and Bayesian Inference (10 papers) and Optimal Experimental Design Methods (9 papers). Seung-Ho Kang collaborates with scholars based in South Korea and United States. Seung-Ho Kang's co-authors include Chul Ahn, Ralph L. Kodell, Yi Tsong, James J. Chen, Sin‐Ho Jung, Donald J. Jenden, Margareth Roch, Alan L. Buchman, Jerome Klotz and Jae‐Won Lee and has published in prestigious journals such as Journal of the American College of Nutrition, Regulatory Toxicology and Pharmacology and Journal of Statistical Planning and Inference.

In The Last Decade

Co-authorship network of co-authors of Seung-Ho Kang i

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Fields of papers citing papers by Seung-Ho Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung-Ho Kang. 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 Seung-Ho Kang. The network helps show where Seung-Ho Kang may publish in the future.

Countries citing papers authored by Seung-Ho Kang

Since Specialization

Citations

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