Seokeon Choi

About

Seokeon Choi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Seokeon Choi has authored 13 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Seokeon Choi’s work include Video Surveillance and Tracking Methods (5 papers), Human Pose and Action Recognition (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Seokeon Choi is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Human Pose and Action Recognition (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Seokeon Choi collaborates with scholars based in South Korea, United Kingdom and Canada. Seokeon Choi's co-authors include Changick Kim, Taekyung Kim, Minki Jeong, Youngeun Kim, Sumin Lee, Seunghyeon Kim, Jonghee Kim, Wonjun Kim, Sangbum Choi and Debasmit Das and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Forensics and Security and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Seokeon Choi i

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Fields of papers citing papers by Seokeon Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seokeon Choi

Since Specialization

Citations

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