Feng Mao

31 papers and 284 indexed citations i.

Feng Mao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Feng Mao has authored 31 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Feng Mao’s work include Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (4 papers) and Multimodal Machine Learning Applications (4 papers). Feng Mao is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (4 papers) and Multimodal Machine Learning Applications (4 papers). Feng Mao collaborates with scholars based in China, United States and Singapore. Feng Mao's co-authors include Jie Song, Mingli Song, Hui Xue, Zhiheng Li and Da Chen and has published in prestigious journals such as IEEE Transactions on Image Processing, Sensors and Sustainability.