Yonggwan Won

48 papers and 454 indexed citations i.

Yonggwan Won has authored 48 papers that have received a total of 454 indexed citations. This includes 15 papers in Artificial Intelligence, 11 papers in Biomedical Engineering and 8 papers in Computer Vision and Pattern Recognition. The topics of these papers are Machine Learning and ELM (8 papers), Neural Networks and Applications (7 papers) and Diabetic Foot Ulcer Assessment and Management (5 papers). Yonggwan Won is often cited by papers focused on Machine Learning and ELM (8 papers), Neural Networks and Applications (7 papers) and Diabetic Foot Ulcer Assessment and Management (5 papers) and collaborates with scholars based in South Korea, United States and Vietnam. Yonggwan Won's co-authors include Jung‐Ja Kim, Hieu Trung Huynh, Paul Gader, Jinsul Kim and Jin Young Kim and has published in prestigious journals such as Sensors and Actuators B Chemical, Neural Networks and PROTEOMICS.