Sung Hun Kim

241 papers and 4.0k indexed citations i.

About

Sung Hun Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Artificial Intelligence. According to data from OpenAlex, Sung Hun Kim has authored 241 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Radiology, Nuclear Medicine and Imaging, 73 papers in Pathology and Forensic Medicine and 41 papers in Artificial Intelligence. Recurrent topics in Sung Hun Kim’s work include MRI in cancer diagnosis (67 papers), Breast Lesions and Carcinomas (67 papers) and Radiomics and Machine Learning in Medical Imaging (60 papers). Sung Hun Kim is often cited by papers focused on MRI in cancer diagnosis (67 papers), Breast Lesions and Carcinomas (67 papers) and Radiomics and Machine Learning in Medical Imaging (60 papers). Sung Hun Kim collaborates with scholars based in South Korea, United States and Hong Kong. Sung Hun Kim's co-authors include Bong Joo Kang, Byung Joo Song, Bong Joo Kang, Seung Hee Jeong, Hyeon Woo Yim, Jae Jeong Choi, Hyeon Sook Kim, Yeong Yi An, Ahwon Lee and Chang Suk Park and has published in prestigious journals such as ACS Nano, Applied Physics Letters and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Sung Hun Kim i

Fields of papers citing papers by Sung Hun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sung Hun Kim

Since Specialization
Citations

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