Min Sung Lee

91 total papers · 920 total citations
53 papers, 667 citations indexed

About

Min Sung Lee is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence and Geophysics. According to data from OpenAlex, Min Sung Lee has authored 53 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cardiology and Cardiovascular Medicine, 12 papers in Artificial Intelligence and 9 papers in Geophysics. Recurrent topics in Min Sung Lee's work include ECG Monitoring and Analysis (10 papers), Geochemistry and Geologic Mapping (10 papers) and Geological and Geochemical Analysis (6 papers). Min Sung Lee is often cited by papers focused on ECG Monitoring and Analysis (10 papers), Geochemistry and Geologic Mapping (10 papers) and Geological and Geochemical Analysis (6 papers). Min Sung Lee collaborates with scholars based in South Korea, United States and Russia. Min Sung Lee's co-authors include Yun Jeong Kim, Alan E. Rubin, Chung Soo Lee, J. T. Wasson, Sun Joo Lee, Alexander N. Krot, Eun Sook Han, Yoon Jeong Nam, Min Won Lee and Seong Jun Seo and has published in prestigious journals such as PLoS ONE, Geochimica et Cosmochimica Acta and Scientific Reports.

In The Last Decade

Min Sung Lee

50 papers receiving 644 citations

Author Peers

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

Author Last Decade Papers Cites
Min Sung Lee 176 131 125 114 81 53 667
Takeda 62 0.4× 37 0.3× 17 0.1× 33 0.3× 20 0.2× 36 643
Зонг 77 0.4× 14 0.1× 27 0.2× 71 0.6× 5 0.1× 126 596
Shuo Li 128 0.7× 269 2.1× 28 0.2× 10 0.1× 5 0.1× 42 728
Ting Li 214 1.2× 146 1.1× 21 0.2× 102 0.9× 8 0.1× 43 706
Yoshikazu Aoki 55 0.3× 31 0.2× 7 0.1× 79 0.7× 99 1.2× 55 611
Ruirong Chen 80 0.5× 41 0.3× 12 0.1× 11 0.1× 16 0.2× 45 643
Akira Akira 132 0.8× 6 0.0× 20 0.2× 24 0.2× 5 0.1× 111 610
G. Paulus 132 0.8× 102 0.8× 35 0.3× 12 0.1× 5 0.1× 28 586
Xiaodan Liu 340 1.9× 9 0.1× 10 0.1× 88 0.8× 6 0.1× 47 719
Masaki Morimoto 85 0.5× 98 0.7× 9 0.1× 3 0.0× 11 0.1× 82 565

Countries citing papers authored by Min Sung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Min Sung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Sung Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Min Sung Lee. A scholar is included among the top collaborators of Min Sung Lee 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 Min Sung Lee. Min Sung Lee 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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