Youngjin Kim

13 papers and 358 indexed citations i.

About

Youngjin Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Finance. According to data from OpenAlex, Youngjin Kim has authored 13 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Finance. Recurrent topics in Youngjin Kim’s work include Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Human Pose and Action Recognition (3 papers). Youngjin Kim is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Human Pose and Action Recognition (3 papers). Youngjin Kim collaborates with scholars based in South Korea, United States and Philippines. Youngjin Kim's co-authors include Gunhee Kim, Yale Song, Yunseok Jang, Youngjae Yu, Mooyoung Han, Young-Bae Park, Yun‐Shik Choi, Chris Dongjoo Kim, Daewon Sohn and Jihong Kim and has published in prestigious journals such as Journal of the American College of Cardiology, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Youngjin Kim i

Fields of papers citing papers by Youngjin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Youngjin Kim

Since Specialization
Citations

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