Jun-Sik Kim

43 papers and 562 indexed citations i.

About

Jun-Sik Kim is a scholar working on Computer Vision and Pattern Recognition, Surgery and Biomedical Engineering. According to data from OpenAlex, Jun-Sik Kim has authored 43 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 6 papers in Surgery and 5 papers in Biomedical Engineering. Recurrent topics in Jun-Sik Kim’s work include Advanced Vision and Imaging (15 papers), Optical measurement and interference techniques (10 papers) and Image Processing Techniques and Applications (5 papers). Jun-Sik Kim is often cited by papers focused on Advanced Vision and Imaging (15 papers), Optical measurement and interference techniques (10 papers) and Image Processing Techniques and Applications (5 papers). Jun-Sik Kim collaborates with scholars based in South Korea, United States and France. Jun-Sik Kim's co-authors include Takeo Kanade, Pierre Gurdjos, In-So Kweon, Ankur Datta, Myung Hwangbo, In So Kweon, Youngbae Hwang, Jinkee Hong, Daekyung Sung and Sunghyun Kim and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Jun-Sik Kim i

Fields of papers citing papers by Jun-Sik Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun-Sik Kim

Since Specialization
Citations

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