Dae Ha Kim

25 papers and 122 indexed citations i.

About

Dae Ha Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Dae Ha Kim has authored 25 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Dae Ha Kim’s work include Face and Expression Recognition (5 papers), Emotion and Mood Recognition (5 papers) and Advanced Neural Network Applications (5 papers). Dae Ha Kim is often cited by papers focused on Face and Expression Recognition (5 papers), Emotion and Mood Recognition (5 papers) and Advanced Neural Network Applications (5 papers). Dae Ha Kim collaborates with scholars based in South Korea. Dae Ha Kim's co-authors include Byung Cheol Song, Seunghyun Lee, Seung Hyun Lee, Taeyoung Han, Joon‐Hyuk Chang, Jaewoong Choi, Seunghyun Kang, Sanghyuk Lee, Sang-Hyuk Lee and Jae‐Young Park and has published in prestigious journals such as Expert Systems with Applications, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Dae Ha Kim i

Fields of papers citing papers by Dae Ha Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dae Ha Kim

Since Specialization
Citations

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