Sangwoo Cho

34 total papers · 625 total citations
18 papers, 370 citations indexed

About

Sangwoo Cho is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sangwoo Cho has authored 18 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sangwoo Cho's work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Chemical Synthesis and Analysis (2 papers). Sangwoo Cho is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Chemical Synthesis and Analysis (2 papers). Sangwoo Cho collaborates with scholars based in United States, South Korea and Czechia. Sangwoo Cho's co-authors include Siniša Urban, Seth W. Dickey, Rosanna P. Baker, Hassan Foroosh, Fei Liu, Jeonghun Ku, Yeun Joon Kim, Hye Sun Lee, Youn Joo Kang and Fei Liu and has published in prestigious journals such as Cell, Molecular Cell and Nature Structural & Molecular Biology.

In The Last Decade

Sangwoo Cho

18 papers receiving 362 citations

Author Peers

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

Author Last Decade Papers Cites
Sangwoo Cho 141 92 79 51 44 18 370
Lulu Yin 211 1.5× 24 0.3× 8 0.1× 31 0.6× 33 0.8× 26 425
Seongmin Lee 50 0.4× 98 1.1× 17 0.2× 13 0.3× 7 0.2× 34 369
Tai-Yun Kim 231 1.6× 37 0.4× 40 0.5× 8 0.2× 7 0.2× 29 361
Shenghua He 87 0.6× 79 0.9× 45 0.6× 81 1.6× 14 0.3× 25 345
Nadia Brancati 37 0.3× 147 1.6× 168 2.1× 14 0.3× 7 0.2× 23 359
Ruoyu Zhang 65 0.5× 36 0.4× 127 1.6× 11 0.2× 35 0.8× 22 333
Michael Titford 144 1.0× 24 0.3× 51 0.6× 54 1.1× 11 0.3× 25 414
Ge Yan 144 1.0× 59 0.6× 49 0.6× 25 0.5× 2 0.0× 26 378
Shenghao Li 87 0.6× 44 0.5× 15 0.2× 14 0.3× 24 0.5× 29 364
Jia Zhang 89 0.6× 205 2.2× 9 0.1× 11 0.2× 7 0.2× 18 426

Countries citing papers authored by Sangwoo Cho

Since Specialization
Citations

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

Fields of papers citing papers by Sangwoo Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangwoo Cho

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