Youngdoo Son
About
Youngdoo Son has authored 39 papers that have received a total of 590 indexed citations.
This includes 17 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Biomedical Engineering. The topics of these papers are Anomaly Detection Techniques and Applications (7 papers), Time Series Analysis and Forecasting (3 papers) and Machine Learning and Data Classification (3 papers). Youngdoo Son is often cited by papers focused on Anomaly Detection Techniques and Applications (7 papers), Time Series Analysis and Forecasting (3 papers) and Machine Learning and Data Classification (3 papers) and collaborates with scholars based in South Korea, United States and India. Youngdoo Son's co-authors include Jaewook Lee, Wonjoon Kim, Muhammad Fazal Ijaz, Sangho Lee and Kang‐Mi Pang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications
In The Last Decade
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