Daehee Kim

21 papers and 230 indexed citations i.

About

Daehee Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Education. According to data from OpenAlex, Daehee Kim has authored 21 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Education. Recurrent topics in Daehee Kim’s work include Advanced Vision and Imaging (6 papers), Image Enhancement Techniques (4 papers) and Topic Modeling (3 papers). Daehee Kim is often cited by papers focused on Advanced Vision and Imaging (6 papers), Image Enhancement Techniques (4 papers) and Topic Modeling (3 papers). Daehee Kim collaborates with scholars based in South Korea, United States and Japan. Daehee Kim's co-authors include Jaekoo Lee, Seunghyun Park, Jinkyu Kim, Youngjun Yoo, Yo-Sung Ho, Chieteuk Ahn, Munchurl Kim, Hyung Suk Lee, Lisa D. Spiller and Joonki Paik and has published in prestigious journals such as Sensors, Journal of the Optical Society of America A and Energies.

In The Last Decade

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

Fields of papers citing papers by Daehee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daehee Kim

Since Specialization
Citations

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