Yunseok Jang

About

Yunseok Jang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Yunseok Jang has authored 13 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Yunseok Jang’s work include Human Pose and Action Recognition (4 papers), Multimodal Machine Learning Applications (3 papers) and Image Processing Techniques and Applications (2 papers). Yunseok Jang is often cited by papers focused on Human Pose and Action Recognition (4 papers), Multimodal Machine Learning Applications (3 papers) and Image Processing Techniques and Applications (2 papers). Yunseok Jang collaborates with scholars based in South Korea, United States and United Kingdom. Yunseok Jang's co-authors include Yale Song, Gunhee Kim, Youngjae Yu, Youngjin Kim, Tianchen Zhao, Seunghoon Hong, Honglak Lee, Jaeseok Kim, Chris Dongjoo Kim and Dong Soo Jang and has published in prestigious journals such as IEEE Access, International Journal of Computer Vision and Applied Thermal Engineering.

In The Last Decade

Co-authorship network of co-authors of Yunseok Jang i

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Fields of papers citing papers by Yunseok Jang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yunseok Jang

Since Specialization

Citations

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