Sunghwan Sohn
About
Sunghwan Sohn has authored 116 papers that have received a total of 3.7k indexed citations.
This includes 52 papers in Artificial Intelligence, 36 papers in Molecular Biology and 20 papers in Physiology. The topics of these papers are Biomedical Text Mining and Ontologies (36 papers), Topic Modeling (22 papers) and Machine Learning in Healthcare (21 papers). Sunghwan Sohn is often cited by papers focused on Biomedical Text Mining and Ontologies (36 papers), Topic Modeling (22 papers) and Machine Learning in Healthcare (21 papers) and collaborates with scholars based in United States, South Korea and Belarus. Sunghwan Sohn's co-authors include Hongfang Liu, Young J. Juhn, Feichen Shen, Yanshan Wang and Sunyang Fu and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Journal of Bone and Joint Surgery
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