Chul Min Lee

70 total papers · 2.9k total citations
36 papers, 2.0k citations indexed

About

Chul Min Lee is a scholar working on Signal Processing, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Chul Min Lee has authored 36 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Signal Processing, 11 papers in Experimental and Cognitive Psychology and 10 papers in Artificial Intelligence. Recurrent topics in Chul Min Lee's work include Speech and Audio Processing (13 papers), Emotion and Mood Recognition (11 papers) and Speech Recognition and Synthesis (6 papers). Chul Min Lee is often cited by papers focused on Speech and Audio Processing (13 papers), Emotion and Mood Recognition (11 papers) and Speech Recognition and Synthesis (6 papers). Chul Min Lee collaborates with scholars based in South Korea, United States and Ethiopia. Chul Min Lee's co-authors include Shrikanth Narayanan, Serdar Yıldırım, Sungbok Lee, Carlos Busso, Murtaza Bulut, Abe Kazemzadeh, Zhigang Deng, Ulrich Neumann, Roberto Pieraccini and Shrikanth Narayanan and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, The Journal of the Acoustical Society of America and Fertility and Sterility.

In The Last Decade

Chul Min Lee

30 papers receiving 1.8k citations

Hit Papers

Toward detecting emotions... 2004 2026 2011 2018 2005 2004 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Chul Min Lee 1.3k 762 747 434 323 36 2.0k
Margaret Lech 976 0.7× 746 1.0× 790 1.1× 474 1.1× 218 0.7× 101 2.2k
Jarek Krajewski 1.3k 1.0× 375 0.5× 581 0.8× 186 0.4× 568 1.8× 71 2.2k
Samuel Kim 1.9k 1.5× 1.3k 1.7× 1.6k 2.1× 445 1.0× 324 1.0× 22 2.8k
Mihalis A. Nicolaou 1.5k 1.1× 918 1.2× 788 1.1× 1.1k 2.5× 331 1.0× 50 2.6k
Philip E. Rubin 1.4k 1.0× 690 0.9× 459 0.6× 126 0.3× 268 0.8× 49 2.6k
Gary McKeown 1.1k 0.8× 247 0.3× 504 0.7× 497 1.1× 572 1.8× 55 1.9k
Shan Li 1.8k 1.4× 361 0.5× 442 0.6× 2.0k 4.6× 155 0.5× 68 3.3k
Nicolas Tsapatsoulis 1.3k 1.0× 756 1.0× 779 1.0× 1.1k 2.5× 388 1.2× 109 2.7k
Daryush D. Mehta 1.6k 1.2× 463 0.6× 1.1k 1.5× 156 0.4× 124 0.4× 132 3.2k
Nicholas Cummins 1.7k 1.3× 914 1.2× 1.1k 1.5× 327 0.8× 707 2.2× 118 3.2k

Countries citing papers authored by Chul Min Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chul Min Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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