Sung Ui Shin

46 total papers · 1.3k total citations
38 papers, 909 citations indexed

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 909 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 Ethiopia. Sung Ui Shin's co-authors include Woo Kyung Moon, Jung Min Chang, Nariya Cho, Min Sun Bae, Su Hyun Lee, Han Suk Ryu, Wonshik Han, Soo‐Yeon Kim, Sung Eun Song and Ann Yi and has published in prestigious journals such as Scientific Reports, Radiology and Annals of Surgical Oncology.

In The Last Decade

Sung Ui Shin

38 papers receiving 900 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sung Ui Shin 564 307 246 222 192 38 909
Luca Alessandro Carbonaro 637 1.1× 163 0.5× 196 0.8× 230 1.0× 218 1.1× 47 894
Marilyn J. Morton 337 0.6× 99 0.3× 233 0.9× 146 0.7× 255 1.3× 24 798
Sally D. Herschorn 331 0.6× 217 0.7× 374 1.5× 104 0.5× 337 1.8× 44 1.0k
Reni Butler 453 0.8× 231 0.8× 255 1.0× 334 1.5× 311 1.6× 25 984
Pierluigi Rinaldi 457 0.8× 163 0.5× 89 0.4× 199 0.9× 113 0.6× 45 986
Chiara Del Frate 384 0.7× 186 0.6× 63 0.3× 194 0.9× 143 0.7× 24 894
Michael Koretz 162 0.3× 247 0.8× 178 0.7× 294 1.3× 163 0.8× 30 804
Boris Adamietz 226 0.4× 342 1.1× 133 0.5× 89 0.4× 218 1.1× 37 904
Andreas Kleppe 451 0.8× 217 0.7× 350 1.4× 73 0.3× 181 0.9× 22 996
Jose Net 740 1.3× 179 0.6× 288 1.2× 88 0.4× 143 0.7× 26 867

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Ui Shin. A scholar is included among the top collaborators of Sung Ui Shin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sung Ui Shin. Sung Ui Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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