Guang Lin
About
Guang Lin has authored 197 papers that have received a total of 3.3k indexed citations.
This includes 58 papers in Statistics, Probability and Uncertainty, 56 papers in Computational Mechanics and 46 papers in Statistical and Nonlinear Physics. The topics of these papers are Probabilistic and Robust Engineering Design (57 papers), Model Reduction and Neural Networks (41 papers) and Gaussian Processes and Bayesian Inference (18 papers). Guang Lin is often cited by papers focused on Probabilistic and Robust Engineering Design (57 papers), Model Reduction and Neural Networks (41 papers) and Gaussian Processes and Bayesian Inference (18 papers) and collaborates with scholars based in United States, China and United Kingdom. Guang Lin's co-authors include George Em Karniadakis, Ziyang Huang, Arezoo M. Ardekani, Bledar A. Konomi and Yixuan Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of the American Chemical Society.
In The Last Decade
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