Jason Dong

8 papers and 197 indexed citations i.

Jason Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Jason Dong has authored 8 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Neurology. Recurrent topics in Jason Dong’s work include Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and Data Classification (1 paper) and Parkinson's Disease Mechanisms and Treatments (1 paper). Jason Dong is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and Data Classification (1 paper) and Parkinson's Disease Mechanisms and Treatments (1 paper). Jason Dong collaborates with scholars based in United States, China and Germany. Jason Dong's co-authors include Bingwei Lu, Zhihao Wu, Alan Wu, Songjie Chen, M Snyder, Wenhan Zhang, Lin Yang, Cole S. Sitron, Zoe H. Davis and Suzana Gispert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Experimental Gerontology.