Thang Doan

35 total papers · 440 total citations
3 papers, 169 citations indexed

Thang Doan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Thang Doan has authored 3 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computational Mechanics. Recurrent topics in Thang Doan’s work include Anomaly Detection Techniques and Applications (2 papers), Imbalanced Data Classification Techniques (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Thang Doan is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers), Imbalanced Data Classification Techniques (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Thang Doan collaborates with scholars based in Canada, Finland and India. Thang Doan's co-authors include Saeid Nahavandi, U. Rajendra Acharya, Reza Hashemifesharaki, Moloud Abdar, Abbas Khosravi, Li Liu, Vladimir Makarenkov, Bogdan Mazoure, Tiago H. Falk and Isabela Albuquerque and has published in prestigious journals such as Computers in Biology and Medicine, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.