Youngjung Uh

27 papers and 1.3k indexed citations i.

About

Youngjung Uh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Youngjung Uh has authored 27 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Youngjung Uh’s work include Generative Adversarial Networks and Image Synthesis (9 papers), Multimodal Machine Learning Applications (6 papers) and Advanced Neural Network Applications (6 papers). Youngjung Uh is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (9 papers), Multimodal Machine Learning Applications (6 papers) and Advanced Neural Network Applications (6 papers). Youngjung Uh collaborates with scholars based in South Korea, China and Canada. Youngjung Uh's co-authors include Jaejun Yoo, Jung-Woo Ha, Yunjey Choi, Hyeran Byun, Pilhyeon Lee, Sanghyuk Chun, Junho Kim, Hyunjung Shim, Sungjoo Yoo and Kibeom Hong and has published in prestigious journals such as Neurocomputing, Pattern Recognition Letters and Optical Engineering.

In The Last Decade

Co-authorship network of co-authors of Youngjung Uh i

Fields of papers citing papers by Youngjung Uh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Youngjung Uh

Since Specialization
Citations

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