| Variable importance analysis: A comprehensive review P Wei, Z Lu, J Song Reliability Engineering & System Safety 142, 399-432, 2015 | 457 | 2015 |
| 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 | 81 | 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 | 73 | 2019 |
| Extended Monte Carlo simulation for parametric global sensitivity analysis and optimization P Wei, Z Lu, J Song AIAA journal 52 (4), 867-878, 2014 | 67 | 2014 |
| Time-dependent reliability sensitivity analysis of motion mechanisms P Wei, J Song, Z Lu, Z Yue Reliability Engineering & System Safety 149, 107-120, 2016 | 52 | 2016 |
| Moment‐independent sensitivity analysis using copula P Wei, Z Lu, J Song Risk Analysis 34 (2), 210-222, 2014 | 50 | 2014 |
| Active learning line sampling for rare event analysis J Song, P Wei, M Valdebenito, M Beer Mechanical Systems and Signal Processing 147, 107113, 2020 | 49 | 2020 |
| Regional sensitivity analysis using revised mean and variance ratio functions P Wei, Z Lu, W Ruan, J Song Reliability Engineering & System Safety 121, 121-135, 2014 | 38 | 2014 |
| A new variance-based global sensitivity analysis technique P Wei, Z Lu, J Song Computer Physics Communications 184 (11), 2540-2551, 2013 | 38 | 2013 |
| Non-intrusive imprecise stochastic simulation by line sampling J Song, M Valdebenito, P Wei, M Beer, Z Lu Structural Safety 84, 101936, 2020 | 36 | 2020 |
| Failure probability estimation of a class of series systems by multidomain Line Sampling MA Valdebenito, P Wei, J Song, M Beer, M Broggi Reliability Engineering & System Safety 213, 107673, 2021 | 30 | 2021 |
| 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 | 29 | 2021 |
| Adaptive reliability analysis for rare events evaluation with global imprecise line sampling J Song, P Wei, M Valdebenito, M Beer Computer Methods in Applied Mechanics and Engineering 372, 113344, 2020 | 29 | 2020 |
| Generalization of non-intrusive imprecise stochastic simulation for mixed uncertain variables J Song, P Wei, M Valdebenito, S Bi, M Broggi, M Beer, Z Lei Mechanical Systems and Signal Processing 134, 106316, 2019 | 29 | 2019 |
| Data-driven and active learning of variance-based sensitivity indices with Bayesian probabilistic integration J Song, P Wei, MA Valdebenito, M Faes, M Beer Mechanical Systems and Signal Processing 163, 108106, 2022 | 22 | 2022 |
| A comprehensive comparison of two variable importance analysis techniques in high dimensions: Application to an environmental multi-indicators system P Wei, Z Lu, J Song Environmental Modelling & Software 70, 178-190, 2015 | 21 | 2015 |
| Regional and parametric sensitivity analysis of Sobol׳ indices P Wei, Z Lu, J Song Reliability Engineering & System Safety 137, 87-100, 2015 | 20 | 2015 |
| Global sensitivity analysis for model with random inputs characterized by probability-box J Song, Z Lu, P Wei, Y Wang Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2015 | 16 | 2015 |
| Global reliability sensitivity analysis of motion mechanisms P Wei, J Song, Z Lu Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2016 | 13 | 2016 |
| Structural reliability analysis by line sampling: A Bayesian active learning treatment C Dang, MA Valdebenito, MGR Faes, J Song, P Wei, M Beer Structural Safety 104, 102351, 2023 | 12 | 2023 |
Pengfei WeiNorthwestern Polytechnical UniversityVerified email at nwpu.edu.cn
