Seong Tae Kim

45 papers and 327 indexed citations i.

About

Seong Tae Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Seong Tae Kim has authored 45 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Seong Tae Kim’s work include AI in cancer detection (10 papers), Advanced Neural Network Applications (7 papers) and Face recognition and analysis (7 papers). Seong Tae Kim is often cited by papers focused on AI in cancer detection (10 papers), Advanced Neural Network Applications (7 papers) and Face recognition and analysis (7 papers). Seong Tae Kim collaborates with scholars based in South Korea, Germany and United States. Seong Tae Kim's co-authors include Yong Man Ro, Dae Hoe Kim, Nassir Navab, Hong Joo Lee, Hakmin Lee, Kun Chang Lee, Seung Uk Choi, Maxim Tyan, Jung Min Chang and JW Lee and has published in prestigious journals such as IEEE Transactions on Image Processing, Sensors and IEEE Access.

In The Last Decade

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

Fields of papers citing papers by Seong Tae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seong Tae Kim

Since Specialization
Citations

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