Suhyeon Lee

67 total papers · 668 total citations
35 papers, 409 citations indexed

About

Suhyeon Lee is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Suhyeon Lee has authored 35 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 12 papers in Computer Vision and Pattern Recognition and 12 papers in Materials Chemistry. Recurrent topics in Suhyeon Lee's work include Multimodal Machine Learning Applications (7 papers), Quantum Dots Synthesis And Properties (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Suhyeon Lee is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Quantum Dots Synthesis And Properties (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Suhyeon Lee collaborates with scholars based in South Korea, United States and India. Suhyeon Lee's co-authors include Hongje Seong, Euntai Kim, Seongwon Lee, Seoung Wug Oh, Joon‐Young Lee, Junhyuk Hyun, Seungwoo Han, Jun-Gu Kang, Hoo-Jeong Lee and Jeonghun Kwak and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Power Sources and Carbon.

In The Last Decade

Suhyeon Lee

27 papers receiving 398 citations

Author Peers

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

Author Last Decade Papers Cites
Suhyeon Lee 237 110 82 64 33 35 409
Chaoqin Huang 209 0.9× 194 1.8× 65 0.8× 45 0.7× 18 0.5× 27 495
Y.S. Zhang 127 0.5× 84 0.8× 139 1.7× 39 0.6× 12 0.4× 18 463
Pengyu Zhang 278 1.2× 38 0.3× 77 0.9× 77 1.2× 28 0.8× 37 452
Tao Liu 139 0.6× 83 0.8× 149 1.8× 202 3.2× 16 0.5× 44 483
Youngwan Lee 239 1.0× 65 0.6× 31 0.4× 133 2.1× 11 0.3× 24 429
Li Hou 156 0.7× 56 0.5× 24 0.3× 32 0.5× 24 0.7× 33 381
Vinay Kumar Verma 213 0.9× 184 1.7× 53 0.6× 26 0.4× 37 1.1× 42 470
Wei Zhou 170 0.7× 92 0.8× 32 0.4× 51 0.8× 7 0.2× 56 446
Zhiwei Dong 122 0.5× 28 0.3× 71 0.9× 56 0.9× 24 0.7× 34 368
Yifei Huang 268 1.1× 47 0.4× 51 0.6× 14 0.2× 10 0.3× 27 428

Countries citing papers authored by Suhyeon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Suhyeon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhyeon Lee

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