Seunghyun Lee

29 papers and 223 indexed citations i.

About

Seunghyun Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Seunghyun Lee has authored 29 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Seunghyun Lee’s work include Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Multimodal Machine Learning Applications (3 papers). Seunghyun Lee is often cited by papers focused on Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Multimodal Machine Learning Applications (3 papers). Seunghyun Lee collaborates with scholars based in South Korea and United States. Seunghyun Lee's co-authors include Byung Cheol Song, Dae Ha Kim, Tran Ngọc Quang, Sang-Hyuk Lee, Jahyun Koo, Sanghyuk Lee, Sungwook Lee, Byeongho Heo, Jaeha Kung and Jongse Park and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Seunghyun Lee i

Fields of papers citing papers by Seunghyun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seunghyun Lee

Since Specialization
Citations

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