Laiwan Chan
About
Laiwan Chan has authored 44 papers that have received a total of 518 indexed citations.
This includes 23 papers in Artificial Intelligence, 16 papers in Signal Processing and 11 papers in Computer Vision and Pattern Recognition. The topics of these papers are Neural Networks and Applications (12 papers), Blind Source Separation Techniques (10 papers) and Bayesian Modeling and Causal Inference (8 papers). Laiwan Chan is often cited by papers focused on Neural Networks and Applications (12 papers), Blind Source Separation Techniques (10 papers) and Bayesian Modeling and Causal Inference (8 papers) and collaborates with scholars based in Hong Kong, United States and Australia. Laiwan Chan's co-authors include Chi-Sing Leung, Irwin King, Kun Zhang, John Sum and Gilbert H. Young and has published in prestigious journals such as IEEE Transactions on Signal Processing, Pattern Recognition and Neural Computation
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