Dae-Seong Kang

55 papers and 135 indexed citations i.

About

Dae-Seong Kang is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Computer Networks and Communications. According to data from OpenAlex, Dae-Seong Kang has authored 55 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 9 papers in Industrial and Manufacturing Engineering and 8 papers in Computer Networks and Communications. Recurrent topics in Dae-Seong Kang’s work include Video Surveillance and Tracking Methods (12 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Industrial Vision Systems and Defect Detection (9 papers). Dae-Seong Kang is often cited by papers focused on Video Surveillance and Tracking Methods (12 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Industrial Vision Systems and Defect Detection (9 papers). Dae-Seong Kang collaborates with scholars based in South Korea, United States and China. Dae-Seong Kang's co-authors include Nasser Kehtarnavaz, Norman C. Griswold, Jong-Ho Sun, Gi‐Woo Kim, Jung‐Hyun Park, Daijin Kim and Jun-Gyu Park and has published in prestigious journals such as Neurocomputing, Machine Vision and Applications and EURASIP Journal on Advances in Signal Processing.

In The Last Decade

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

Fields of papers citing papers by Dae-Seong Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dae-Seong Kang

Since Specialization
Citations

This map shows the geographic impact of Dae-Seong 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-Seong 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-Seong 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