Kaixuan Feng 
- (2023): Efficient reliability updating methods based on Bayesian inference and sequential learning Kriging. In: Structural Safety, v. 104 (September 2023).
- (2023): New perspective on reliability updating with equality information under line sampling. In: Structural Safety, v. 103 (July 2023).
- (2023): An innovative Bayesian updating method for laminated composite structures under evidence uncertainty. In: Composite Structures, v. 304 (January 2023).
- (2022): An improved AK-MCS for reliability analysis by an efficient and simple reduction strategy of candidate sample pool. In: Structures, v. 35 (January 2022).
- (2020): A new global sensitivity measure based on the elementary effects method. In: Computers & Structures, v. 229 (March 2020).
- (2019): A novel step-wise AK-MCS method for efficient estimation of fuzzy failure probability under probability inputs and fuzzy state assumption. In: Engineering Structures, v. 183 (March 2019).
- (2019): Time-dependent failure credibility analysis and its optimization based computational methods. In: Engineering Structures, v. 181 (February 2019).
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