Sungchul Kim

10 papers and 811 indexed citations i.

About

Sungchul Kim is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oral Surgery. According to data from OpenAlex, Sungchul Kim has authored 10 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oral Surgery. Recurrent topics in Sungchul Kim’s work include Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Forensic Anthropology and Bioarchaeology Studies (3 papers). Sungchul Kim is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Forensic Anthropology and Bioarchaeology Studies (3 papers). Sungchul Kim collaborates with scholars based in South Korea and United States. Sungchul Kim's co-authors include Dong-Wan Kim, Dae Seog Heo, Tae‐You Kim, Sang Goo Shin, Yung‐Jue Bang, Noe Kyeong Kim, Jae‐Yong Chung, Jin‐Hyun Ahn, Sanghyun Lee and Donghyun Kim and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and PLoS Pathogens.

In The Last Decade

Co-authorship network of co-authors of Sungchul Kim i

Fields of papers citing papers by Sungchul Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sungchul Kim

Since Specialization
Citations

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