Sunghwan Kim

31 papers and 356 indexed citations i.

Sunghwan Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Sunghwan Kim has authored 31 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 8 papers in Molecular Biology. Recurrent topics in Sunghwan Kim’s work include Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (8 papers) and Adversarial Robustness in Machine Learning (4 papers). Sunghwan Kim is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (8 papers) and Adversarial Robustness in Machine Learning (4 papers). Sunghwan Kim collaborates with scholars based in South Korea, United States and China. Sunghwan Kim's co-authors include George C. Tseng, Ja‐Yong Koo, Yongseok Park, Chien‐Wei Lin, Hyun Kwon, Zhiguang Huo, Yongeun Park, Jae-Ki Shin, Dongwan Kang and Kangmin Chon and has published in prestigious journals such as Bioinformatics, Journal of Environmental Management and IEEE Access.