Shaohua Fan

8 papers and 190 indexed citations i.

Shaohua Fan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Shaohua Fan has authored 8 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Management Science and Operations Research. Recurrent topics in Shaohua Fan’s work include Advanced Graph Neural Networks (5 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning and ELM (2 papers). Shaohua Fan is often cited by papers focused on Advanced Graph Neural Networks (5 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning and ELM (2 papers). Shaohua Fan collaborates with scholars based in China and United States. Shaohua Fan's co-authors include Chuan Shi, Xiao Wang, Philip S. Yu, Yanfang Ye, Deyu Bo, Bai Wang, Peng Cui, Kun Kuang, Nian Liu and Jiawei Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Nature Machine Intelligence.