Mohamed Ragab
About
Mohamed Ragab has authored 32 papers that have received a total of 586 indexed citations.
This includes 13 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Plant Science. The topics of these papers are Anomaly Detection Techniques and Applications (8 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Time Series Analysis and Forecasting (4 papers). Mohamed Ragab is often cited by papers focused on Anomaly Detection Techniques and Applications (8 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Time Series Analysis and Forecasting (4 papers) and collaborates with scholars based in Singapore, Egypt and China. Mohamed Ragab's co-authors include Xiaoli Li, Zhenghua Chen, Min Wu, Chee Keong Kwoh and Emadeldeen Eldele and has published in prestigious journals such as Journal of the American Chemical Society, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access
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