Jinsung Yoon

187 total papers · 6.2k total citations
68 papers, 2.7k citations indexed

About

Jinsung Yoon is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jinsung Yoon has authored 68 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 18 papers in Cardiology and Cardiovascular Medicine and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jinsung Yoon's work include Acute Myocardial Infarction Research (12 papers), Machine Learning in Healthcare (11 papers) and Anomaly Detection Techniques and Applications (6 papers). Jinsung Yoon is often cited by papers focused on Acute Myocardial Infarction Research (12 papers), Machine Learning in Healthcare (11 papers) and Anomaly Detection Techniques and Applications (6 papers). Jinsung Yoon collaborates with scholars based in United States, United Kingdom and Italy. Jinsung Yoon's co-authors include Mihaela van der Schaar, Tomas Pfister, Daniel Jarrett, Chunliang Li, Kihyuk Sohn, James Jordon, William R. Zame, Changhee Lee, Changhee Lee and Lydia N. Drumright and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Jinsung Yoon

65 papers receiving 2.6k citations

Hit Papers

CutPaste: Self-Supervised... 2018 2026 2020 2023 2021 2019 2018 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Jinsung Yoon 1.3k 403 373 299 190 68 2.7k
Marco A. F. Pimentel 1.1k 0.8× 683 1.7× 204 0.5× 183 0.6× 52 0.3× 54 3.0k
Haipeng Shen 929 0.7× 196 0.5× 160 0.4× 749 2.5× 370 1.9× 84 4.6k
Kup‐Sze Choi 1.8k 1.4× 394 1.0× 1.0k 2.8× 208 0.7× 94 0.5× 206 4.6k
Lei Clifton 1.1k 0.8× 189 0.5× 202 0.5× 110 0.4× 61 0.3× 72 2.7k
Marko Robnik‐Šikonja 1.8k 1.4× 153 0.4× 834 2.2× 207 0.7× 62 0.3× 84 4.2k
Giuseppe De Pietro 1.6k 1.2× 510 1.3× 702 1.9× 360 1.2× 45 0.2× 211 4.4k
Maysam Abbod 1.1k 0.9× 501 1.2× 433 1.2× 367 1.2× 73 0.4× 328 5.0k
John Yearwood 1.3k 1.0× 252 0.6× 368 1.0× 173 0.6× 37 0.2× 182 3.7k
L. Kaufman 634 0.5× 81 0.2× 289 0.8× 146 0.5× 75 0.4× 60 3.0k
Riccardo Miotto 2.2k 1.7× 661 1.6× 330 0.9× 830 2.8× 58 0.3× 47 4.6k

Countries citing papers authored by Jinsung Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Jinsung Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinsung Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Jinsung Yoon. A scholar is included among the top collaborators of Jinsung Yoon 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 Jinsung Yoon. Jinsung Yoon 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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