Chaoqun Li

64 papers and 1.4k indexed citations i.

Chaoqun Li has authored 64 papers that have received a total of 1.4k indexed citations. This includes 58 papers in Artificial Intelligence, 18 papers in Information Systems and 14 papers in Computer Science Applications. The topics of these papers are Machine Learning and Data Classification (28 papers), Imbalanced Data Classification Techniques (19 papers) and Bayesian Modeling and Causal Inference (18 papers). Chaoqun Li is often cited by papers focused on Machine Learning and Data Classification (28 papers), Imbalanced Data Classification Techniques (19 papers) and Bayesian Modeling and Causal Inference (18 papers) and collaborates with scholars based in China, Australia and Hong Kong. Chaoqun Li's co-authors include Liangxiao Jiang, Lungan Zhang, Huan Zhang, Zhihua Cai and Wenqiang Xu and has published in prestigious journals such as NeuroImage, Cerebral Cortex and Expert Systems with Applications