Sumin Lee

72 total papers · 897 total citations
34 papers, 453 citations indexed

About

Sumin Lee is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Sumin Lee has authored 34 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 9 papers in Biomedical Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Sumin Lee's work include Human Pose and Action Recognition (10 papers), Multimodal Machine Learning Applications (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Sumin Lee is often cited by papers focused on Human Pose and Action Recognition (10 papers), Multimodal Machine Learning Applications (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Sumin Lee collaborates with scholars based in South Korea, United States and Canada. Sumin Lee's co-authors include Changick Kim, Seokeon Choi, Youngeun Kim, Taekyung Kim, Chanho Jung, Min-Gu Lee, Jinwon Park, Sungchan Oh, Sangpill Hwang and Ik‐Sung Ahn and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of Physical Chemistry C and IEEE Access.

In The Last Decade

Sumin Lee

28 papers receiving 446 citations

Hit Papers

Hi-CMD: Hierarchical Cros... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Sumin Lee 322 104 50 41 39 34 453
Xue Zhou 264 0.8× 43 0.4× 55 1.1× 64 1.6× 51 1.3× 48 406
Cong Yang 223 0.7× 45 0.4× 91 1.8× 62 1.5× 31 0.8× 38 423
Aqilah Baseri Huddin 142 0.4× 75 0.7× 36 0.7× 63 1.5× 66 1.7× 35 539
Xingzheng Wang 229 0.7× 71 0.7× 30 0.6× 16 0.4× 21 0.5× 39 525
Jun-Bao Li 225 0.7× 85 0.8× 100 2.0× 39 1.0× 45 1.2× 50 485
Guoqing Hu 98 0.3× 97 0.9× 37 0.7× 22 0.5× 224 5.7× 43 486
Yu Wang 265 0.8× 19 0.2× 48 1.0× 109 2.7× 70 1.8× 22 517
Junge Zhang 415 1.3× 225 2.2× 101 2.0× 30 0.7× 33 0.8× 31 545
Fazida Hanim Hashim 106 0.3× 90 0.9× 23 0.5× 67 1.6× 130 3.3× 49 520
Akihiro Nakamura 151 0.5× 68 0.7× 12 0.2× 19 0.5× 86 2.2× 53 477

Countries citing papers authored by Sumin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sumin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumin Lee

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