Shao-Bo Lin

58 papers and 900 indexed citations i.

Shao-Bo Lin has authored 58 papers that have received a total of 900 indexed citations. This includes 40 papers in Artificial Intelligence, 28 papers in Computational Mechanics and 24 papers in Computer Vision and Pattern Recognition. The topics of these papers are Sparse and Compressive Sensing Techniques (24 papers), Neural Networks and Applications (22 papers) and Machine Learning and ELM (14 papers). Shao-Bo Lin is often cited by papers focused on Sparse and Compressive Sensing Techniques (24 papers), Neural Networks and Applications (22 papers) and Machine Learning and ELM (14 papers) and collaborates with scholars based in China, Hong Kong and United States. Shao-Bo Lin's co-authors include Ding‐Xuan Zhou, Zongben Xu, Jinshan Zeng, Zongben Xu and Yao Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing