Sungchan Park

52 total papers · 557 total citations
31 papers, 342 citations indexed

About

Sungchan Park is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Information Systems. According to data from OpenAlex, Sungchan Park has authored 31 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 7 papers in Information Systems. Recurrent topics in Sungchan Park's work include Recommender Systems and Techniques (7 papers), Advanced optical system design (7 papers) and Advanced Optical Imaging Technologies (7 papers). Sungchan Park is often cited by papers focused on Recommender Systems and Techniques (7 papers), Advanced optical system design (7 papers) and Advanced Optical Imaging Technologies (7 papers). Sungchan Park collaborates with scholars based in South Korea and United States. Sungchan Park's co-authors include Sang‐goo Lee, Youngki Park, Woo-Sung Jung, Minsuk Kahng, Sang‐Hun Lee, SangKeun Lee, Sangkeun Lee, Tae Hoon Seo, Gun Hee Lee and Eun-Kyung Suh and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Sungchan Park

30 papers receiving 330 citations

Author Peers

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

Author Last Decade Papers Cites
Sungchan Park 136 98 69 54 52 31 342
Junwei Yang 34 0.3× 132 1.3× 76 1.1× 23 0.4× 25 0.5× 35 376
Virendra Kumar 34 0.3× 84 0.9× 69 1.0× 27 0.5× 68 1.3× 21 369
Ze Wang 53 0.4× 58 0.6× 41 0.6× 19 0.4× 34 0.7× 39 373
Zhiyong Liu 131 1.0× 91 0.9× 41 0.6× 11 0.2× 33 0.6× 34 404
Michael Hofmann 22 0.2× 68 0.7× 136 2.0× 42 0.8× 17 0.3× 29 391
Ji Zhang 29 0.2× 78 0.8× 55 0.8× 36 0.7× 54 1.0× 18 369
Yong Sun 78 0.6× 123 1.3× 11 0.2× 18 0.3× 20 0.4× 43 401
Xiaoxiao Ma 95 0.7× 141 1.4× 39 0.6× 28 0.5× 4 0.1× 29 365
Jung-Hwan Song 22 0.2× 63 0.6× 42 0.6× 64 1.2× 55 1.1× 51 365
Peng Peng 43 0.3× 137 1.4× 113 1.6× 18 0.3× 19 0.4× 39 376

Countries citing papers authored by Sungchan Park

Since Specialization
Citations

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

Fields of papers citing papers by Sungchan Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungchan Park

This figure shows the co-authorship network connecting the top 25 collaborators of Sungchan Park. A scholar is included among the top collaborators of Sungchan Park 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 Sungchan Park. Sungchan Park 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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2026