Sung-Jin Kim

22 papers and 654 indexed citations i.

Sung-Jin Kim is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Sung-Jin Kim has authored 22 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Sung-Jin Kim’s work include Advanced Malware Detection Techniques (5 papers), Network Security and Intrusion Detection (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Sung-Jin Kim is often cited by papers focused on Advanced Malware Detection Techniques (5 papers), Network Security and Intrusion Detection (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Sung-Jin Kim collaborates with scholars based in South Korea, United States and Cyprus. Sung-Jin Kim's co-authors include Kyungsu Kim, Joonki Paik, Minuk Ma, Junyeong Kim and Brent Byunghoon Kang and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.