Youngjae Yu

30 papers and 740 indexed citations i.

About

Youngjae Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Youngjae Yu has authored 30 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Youngjae Yu’s work include Multimodal Machine Learning Applications (17 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Human Pose and Action Recognition (9 papers). Youngjae Yu is often cited by papers focused on Multimodal Machine Learning Applications (17 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Human Pose and Action Recognition (9 papers). Youngjae Yu collaborates with scholars based in South Korea, United States and United Kingdom. Youngjae Yu's co-authors include Gunhee Kim, Yale Song, Yunseok Jang, Youngjin Kim, Hyungjin Ko, Jongwook Choi, Yejin Choi, Ximing Lu, Jong-Seok Kim and Jack Hessel and has published in prestigious journals such as Applied Catalysis B Environment and Energy, International Journal of Computer Vision and BMC Pregnancy and Childbirth.

In The Last Decade

Co-authorship network of co-authors of Youngjae Yu i

Fields of papers citing papers by Youngjae Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Youngjae Yu

Since Specialization
Citations

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