Tae Kyung Kim

11 papers and 335 indexed citations i.

About

Tae Kyung Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Health Informatics. According to data from OpenAlex, Tae Kyung Kim has authored 11 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Surgery and 4 papers in Health Informatics. Recurrent topics in Tae Kyung Kim’s work include COVID-19 diagnosis using AI (6 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Tae Kyung Kim is often cited by papers focused on COVID-19 diagnosis using AI (6 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Tae Kyung Kim collaborates with scholars based in United States and South Korea. Tae Kyung Kim's co-authors include Paul H. Yi, Gregory D. Hager, Cheng Ting Lin, Jinchi Wei, Haris I. Sair, Ferdinand Hui, Jan Fritz, Karen Skorupski, Ronald K. Taylor and Salvador Almagro‐Moreno and has published in prestigious journals such as PLoS Genetics, Journal of Vascular and Interventional Radiology and Skeletal Radiology.

In The Last Decade

Co-authorship network of co-authors of Tae Kyung Kim i

Fields of papers citing papers by Tae Kyung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tae Kyung Kim

Since Specialization
Citations

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