Seung Park

64 papers and 638 indexed citations i.

About

Seung Park is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Seung Park has authored 64 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Seung Park’s work include Advanced Image Processing Techniques (9 papers), Digital Media Forensic Detection (9 papers) and Generative Adversarial Networks and Image Synthesis (9 papers). Seung Park is often cited by papers focused on Advanced Image Processing Techniques (9 papers), Digital Media Forensic Detection (9 papers) and Generative Adversarial Networks and Image Synthesis (9 papers). Seung Park collaborates with scholars based in South Korea, United States and Australia. Seung Park's co-authors include Yong-Goo Shin, Sung-Jea Ko, Anil V. Parwani, Liron Pantanowitz, James D. Iversen, Hood Chatham, Victor M. Elner, Seung‐Wook Kim, Jong-Il Yun and Joel M. Bowman and has published in prestigious journals such as The Journal of Chemical Physics, Journal of The Electrochemical Society and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Seung Park i

Fields of papers citing papers by Seung Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seung Park

Since Specialization
Citations

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

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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2025