Jae-Young Lee

42 papers and 185 indexed citations i.

About

Jae-Young Lee is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Jae-Young Lee has authored 42 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 10 papers in Information Systems and 9 papers in Artificial Intelligence. Recurrent topics in Jae-Young Lee’s work include Augmented Reality Applications (7 papers), Multimodal Machine Learning Applications (5 papers) and Human Pose and Action Recognition (5 papers). Jae-Young Lee is often cited by papers focused on Augmented Reality Applications (7 papers), Multimodal Machine Learning Applications (5 papers) and Human Pose and Action Recognition (5 papers). Jae-Young Lee collaborates with scholars based in South Korea and United States. Jae-Young Lee's co-authors include Seok‐Han Lee, Junmo Kim, Younghoon Kim, Jong-Soo Choi, Hyung‐Min Park, Denis Agniel, Sergey Goryachev, Robert M. Plenge, Ashwin N. Ananthakrishnan and Andrew Cagan and has published in prestigious journals such as PLoS ONE, IEEE Access and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Jae-Young Lee i

Fields of papers citing papers by Jae-Young Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jae-Young Lee

Since Specialization
Citations

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