Sungeun Hong

25 papers and 338 indexed citations i.

About

Sungeun Hong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Sungeun Hong has authored 25 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Sungeun Hong’s work include Face recognition and analysis (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Video Surveillance and Tracking Methods (4 papers). Sungeun Hong is often cited by papers focused on Face recognition and analysis (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Video Surveillance and Tracking Methods (4 papers). Sungeun Hong collaborates with scholars based in South Korea, United States and Germany. Sungeun Hong's co-authors include Jongbin Ryu, Youngeun Kim, Hyun Suk Yang, Donghyeon Cho, Priyadarshini Panda, In Kyu Park, Hyun Suk Yang, Hojun Lee, Hojun Lee and Dongyoon Han and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Sungeun Hong i

Fields of papers citing papers by Sungeun Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sungeun Hong

Since Specialization
Citations

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