Sanghyub Lee

45 total papers · 1.0k total citations
28 papers, 771 citations indexed

About

Sanghyub Lee is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Sanghyub Lee has authored 28 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Materials Chemistry. Recurrent topics in Sanghyub Lee's work include Human Pose and Action Recognition (7 papers), Gait Recognition and Analysis (6 papers) and Graphene research and applications (5 papers). Sanghyub Lee is often cited by papers focused on Human Pose and Action Recognition (7 papers), Gait Recognition and Analysis (6 papers) and Graphene research and applications (5 papers). Sanghyub Lee collaborates with scholars based in South Korea, United States and Russia. Sanghyub Lee's co-authors include Young Hee Lee, Deok-Won Lee, Mun Sang Kim, Seong Chu Lim, Manh‐Ha Doan, Jiong Zhao, Subash Adhikari, Youngjo Jin, Sidi Fan and Kyoobin Lee and has published in prestigious journals such as ACS Nano, Acta Materialia and Scientific Reports.

In The Last Decade

Sanghyub Lee

27 papers receiving 750 citations

Author Peers

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

Author Last Decade Papers Cites
Sanghyub Lee 369 254 247 131 101 28 771
Yu Zhong 271 0.7× 278 1.1× 90 0.4× 39 0.3× 113 1.1× 32 854
İbrahim Yücedağ 278 0.8× 460 1.8× 162 0.7× 449 3.4× 24 0.2× 55 835
Wonjae Kim 473 1.3× 369 1.5× 151 0.6× 150 1.1× 63 0.6× 38 663
Seung‐Hoon Chae 118 0.3× 432 1.7× 145 0.6× 187 1.4× 108 1.1× 49 773
Huisheng Wang 62 0.2× 264 1.0× 107 0.4× 54 0.4× 31 0.3× 39 677
Weisong Wang 72 0.2× 404 1.6× 215 0.9× 55 0.4× 61 0.6× 60 765
Lei Zhang 174 0.5× 237 0.9× 202 0.8× 309 2.4× 81 0.8× 31 622
Shih-Yao Lin 72 0.2× 156 0.6× 192 0.8× 107 0.8× 56 0.6× 39 629
Andreas Brückner 40 0.1× 244 1.0× 438 1.8× 69 0.5× 24 0.2× 41 756
Jiaming Xu 22 0.1× 429 1.7× 233 0.9× 126 1.0× 101 1.0× 52 740

Countries citing papers authored by Sanghyub Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sanghyub Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanghyub Lee

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