Sung Ui Shin

38 papers and 822 indexed citations i.

About

Sung Ui Shin is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Sung Ui Shin has authored 38 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Artificial Intelligence and 15 papers in Cancer Research. Recurrent topics in Sung Ui Shin’s work include AI in cancer detection (15 papers), Breast Cancer Treatment Studies (14 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Sung Ui Shin is often cited by papers focused on AI in cancer detection (15 papers), Breast Cancer Treatment Studies (14 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Sung Ui Shin collaborates with scholars based in South Korea, Taiwan and United States. Sung Ui Shin's co-authors include Woo Kyung Moon, Jung Min Chang, Min Sun Bae, Nariya Cho, Su Hyun Lee, Han Suk Ryu, Wonshik Han, Sung Eun Song, Soo‐Yeon Kim and Ann Yi and has published in prestigious journals such as Scientific Reports, Radiology and Annals of Surgical Oncology.

In The Last Decade

Co-authorship network of co-authors of Sung Ui Shin i

Fields of papers citing papers by Sung Ui Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sung Ui Shin

Since Specialization
Citations

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