Junge Zhang

42 papers and 613 indexed citations i.

Junge Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Junge Zhang has authored 42 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Junge Zhang’s work include Reinforcement Learning in Robotics (10 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Multimodal Machine Learning Applications (8 papers). Junge Zhang is often cited by papers focused on Reinforcement Learning in Robotics (10 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Multimodal Machine Learning Applications (8 papers). Junge Zhang collaborates with scholars based in China, United Kingdom and United States. Junge Zhang's co-authors include Kaiqi Huang, Tieniu Tan, Debang Li, Huikai Wu and Qiyue Yin and has published in prestigious journals such as IEEE Transactions on Image Processing, Fuel and Expert Systems with Applications.