Yong-Guk Kim

41 papers and 330 indexed citations i.

About

Yong-Guk Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Yong-Guk Kim has authored 41 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Biomedical Engineering. Recurrent topics in Yong-Guk Kim’s work include Advanced Neural Network Applications (4 papers), Reinforcement Learning in Robotics (4 papers) and Face recognition and analysis (4 papers). Yong-Guk Kim is often cited by papers focused on Advanced Neural Network Applications (4 papers), Reinforcement Learning in Robotics (4 papers) and Face recognition and analysis (4 papers). Yong-Guk Kim collaborates with scholars based in South Korea, China and India. Yong-Guk Kim's co-authors include Hulin Jin, Stephen Heinen, Jeremy B. Badler, J. D. Mollon, Chun‐Yang Fan, In-Ho Choi, Thanh Phương Nguyễn, Wenyin Liu, Huong Le‐Thi‐Thu and Libin Lei and has published in prestigious journals such as Journal of Neurophysiology, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Yong-Guk Kim i

Fields of papers citing papers by Yong-Guk Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yong-Guk Kim

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025