Yonggwan Won
About
Yonggwan Won has authored 47 papers that have received a total of 452 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, Jinsul Kim, Jin Young Kim and Paul Gader and has published in prestigious journals such as Neural Networks, PROTEOMICS and Advances in experimental medicine and biology
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