Lechang Yang*, Sifeng Bi, Matthias G. R. Faes, Matteo Broggi, and Michael Beer, Bayesian inversion for imprecise probabilistic models using a novel entropy-based uncertainty quantification metric, Mechanical Systems and Signal Processing, 2022, 162: 107954. (IF: 6.8, 中科院一区)

Pre One:Wenhua Zhao, Lechang Yang*, Chao Dang, Roberto Rocchetta, Marcos Valdebenito, and David Moens, Enriching stochastic model updating metrics: An efficient Bayesian approach using Bray-Curtis distance and an adaptive binning algorithm, Mechanical Systems and Signal Processing, 2022, 171: 108889. (IF: 6.8, 中科院一区)

Next One:Lechang Yang*, Pidong Wang, Wenhua Zhao, Chenxing Wang, Xiuli Wu, and Matthias G. R. Faes, On investigation of the Bayesian anomaly in multiple imprecise dependent information aggregation for system reliability evaluation, International Journal of Intelligent Systems, 2021, 36(6): 2895–2921 (IF: 10.3, 中科院1区)