Dae-Ki Kang

72 papers and 829 indexed citations i.

About

Dae-Ki Kang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Dae-Ki Kang has authored 72 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 15 papers in Information Systems. Recurrent topics in Dae-Ki Kang’s work include Imbalanced Data Classification Techniques (9 papers), Anomaly Detection Techniques and Applications (8 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Dae-Ki Kang is often cited by papers focused on Imbalanced Data Classification Techniques (9 papers), Anomaly Detection Techniques and Applications (8 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Dae-Ki Kang collaborates with scholars based in South Korea, China and United States. Dae-Ki Kang's co-authors include Hong Bae Kim, Vasant Honavar, Imrus Salehin, Ahmed Abdulhakim Al-Absi, Adrian Silvescu, Prasant Kumar Pattnaik, Hao Sun, Zhiyong Wang, Byung-Gook Lee and Wan‐Young Chung and has published in prestigious journals such as Journal of Biological Chemistry, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Dae-Ki Kang i

Fields of papers citing papers by Dae-Ki Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae-Ki Kang. 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-Ki Kang. The network helps show where Dae-Ki Kang may publish in the future.

Countries citing papers authored by Dae-Ki Kang

Since Specialization
Citations

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