Shyh-Rong Lay

5 papers and 200 indexed citations i.

Shyh-Rong Lay is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Atmospheric Science. According to data from OpenAlex, Shyh-Rong Lay has authored 5 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Electrical and Electronic Engineering and 1 paper in Atmospheric Science. Recurrent topics in Shyh-Rong Lay’s work include Neural Networks and Applications (4 papers), Machine Learning and ELM (2 papers) and Blind Source Separation Techniques (1 paper). Shyh-Rong Lay is often cited by papers focused on Neural Networks and Applications (4 papers), Machine Learning and ELM (2 papers) and Blind Source Separation Techniques (1 paper). Shyh-Rong Lay collaborates with scholars based in United States, Taiwan and Switzerland. Shyh-Rong Lay's co-authors include Jenq‐Neng Hwang, Andrew Lippman, I‐Chang Jou, R. Douglas Martin and Martin Maechler and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Neural Networks and IEEE International Conference on Neural Networks.