| Variable importance analysis: A comprehensive review P Wei, Z Lu, J Song Reliability Engineering & System Safety 142, 399-432, 2015 | 560 | 2015 |
| Efficient sampling methods for global reliability sensitivity analysis P Wei, Z Lu, W Hao, J Feng, B Wang Computer Physics Communications 183 (8), 1728-1743, 2012 | 178 | 2012 |
| Monte Carlo simulation for moment-independent sensitivity analysis P Wei, Z Lu, X Yuan Reliability Engineering & System Safety 110, 60-67, 2013 | 116 | 2013 |
| Non-intrusive stochastic analysis with parameterized imprecise probability models: I. Performance estimation P Wei, J Song, S Bi, M Broggi, M Beer, Z Lu, Z Yue Mechanical Systems and Signal Processing 124, 349-368, 2019 | 92 | 2019 |
| Non-intrusive stochastic analysis with parameterized imprecise probability models: II. Reliability and rare events analysis P Wei, J Song, S Bi, M Broggi, M Beer, Z Lu, Z Yue Mechanical Systems and Signal Processing 126, 227-247, 2019 | 80 | 2019 |
| Reliability and reliability-based importance analysis of structural systems using multiple response Gaussian process model P Wei, F Liu, C Tang Reliability Engineering & System Safety 175, 183-195, 2018 | 77 | 2018 |
| Extended Monte Carlo simulation for parametric global sensitivity analysis and optimization P Wei, Z Lu, J Song AIAA journal 52 (4), 867-878, 2014 | 70 | 2014 |
| Active learning line sampling for rare event analysis J Song, P Wei, M Valdebenito, M Beer Mechanical Systems and Signal Processing 147, 107113, 2021 | 67 | 2021 |
| Structural reliability and reliability sensitivity analysis of extremely rare failure events by combining sampling and surrogate model methods P Wei, C Tang, Y Yang Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2019 | 62 | 2019 |
| Time-dependent reliability sensitivity analysis of motion mechanisms P Wei, J Song, Z Lu, Z Yue Reliability Engineering & System Safety 149, 107-120, 2016 | 62 | 2016 |
| Parallel adaptive Bayesian quadrature for rare event estimation C Dang, P Wei, MGR Faes, MA Valdebenito, M Beer Reliability Engineering & System Safety 225, 108621, 2022 | 53 | 2022 |
| Moment‐independent sensitivity analysis using copula P Wei, Z Lu, J Song Risk Analysis 34 (2), 210-222, 2014 | 52 | 2014 |
| Structural reliability analysis: A Bayesian perspective C Dang, MA Valdebenito, MGR Faes, P Wei, M Beer Structural Safety 99, 102259, 2022 | 51 | 2022 |
| A new non-probabilistic time-dependent reliability model for mechanisms with interval uncertainties Q Chang, C Zhou, P Wei, Y Zhang, Z Yue Reliability Engineering & System Safety 215, 107771, 2021 | 49 | 2021 |
| An expected integrated error reduction function for accelerating Bayesian active learning of failure probability P Wei, Y Zheng, J Fu, Y Xu, W Gao Reliability Engineering & System Safety 231, 108971, 2023 | 47 | 2023 |
| Non-intrusive imprecise stochastic simulation by line sampling J Song, M Valdebenito, P Wei, M Beer, Z Lu Structural Safety 84, 101936, 2020 | 46 | 2020 |
| Time-variant global reliability sensitivity analysis of structures with both input random variables and stochastic processes P Wei, Y Wang, C Tang Structural and Multidisciplinary Optimization 55, 1883-1898, 2017 | 45 | 2017 |
| Estimation of failure probability function under imprecise probabilities by active learning–augmented probabilistic integration C Dang, P Wei, J Song, M Beer ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2021 | 44 | 2021 |
| The Bhattacharyya distance: Enriching the P-box in stochastic sensitivity analysis S Bi, M Broggi, P Wei, M Beer Mechanical Systems and Signal Processing 129, 265-281, 2019 | 42 | 2019 |
| Adaptive experiment design for probabilistic integration P Wei, X Zhang, M Beer Computer Methods in Applied Mechanics and Engineering 365, 113035, 2020 | 41 | 2020 |
Michael BeerLeibniz Universität HannoverE-mail megerősítve itt: irz.uni-hannover.de