# | Title | Journal | Year | Citations |
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1 | Multi-objective optimization using genetic algorithms: A tutorial | Reliability Engineering and System Safety | 2006 | 2,489 |
2 | Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems | Reliability Engineering and System Safety | 2003 | 1,760 |
3 | Global sensitivity analysis using polynomial chaos expansions | Reliability Engineering and System Safety | 2008 | 1,713 |
4 | Importance measures in global sensitivity analysis of nonlinear models | Reliability Engineering and System Safety | 1996 | 1,442 |
5 | A review of definitions and measures of system resilience | Reliability Engineering and System Safety | 2016 | 1,127 |
6 | A survey of the application of gamma processes in maintenance | Reliability Engineering and System Safety | 2009 | 1,005 |
7 | Remaining useful life estimation in prognostics using deep convolution neural networks | Reliability Engineering and System Safety | 2018 | 998 |
8 | Survey of sampling-based methods for uncertainty and sensitivity analysis | Reliability Engineering and System Safety | 2006 | 928 |
9 | Review on modeling and simulation of interdependent critical infrastructure systems | Reliability Engineering and System Safety | 2014 | 820 |
10 | A metric and frameworks for resilience analysis of engineered and infrastructure systems | Reliability Engineering and System Safety | 2014 | 744 |
11 | A new uncertainty importance measure | Reliability Engineering and System Safety | 2007 | 726 |
12 | Improving the analysis of dependable systems by mapping fault trees into Bayesian networks | Reliability Engineering and System Safety | 2001 | 692 |
13 | Applications of maintenance optimization models: a review and analysis | Reliability Engineering and System Safety | 1996 | 687 |
14 | Reliability engineering: Old problems and new challenges | Reliability Engineering and System Safety | 2009 | 645 |
15 | Generic metrics and quantitative approaches for system resilience as a function of time | Reliability Engineering and System Safety | 2012 | 635 |
16 | Uncertainties in risk analysis: Six levels of treatment | Reliability Engineering and System Safety | 1996 | 606 |
17 | Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal | Reliability Engineering and System Safety | 1993 | 595 |
18 | Polynomial chaos expansion for sensitivity analysis | Reliability Engineering and System Safety | 2009 | 555 |
19 | Bayesian analysis of computer code outputs: A tutorial | Reliability Engineering and System Safety | 2006 | 552 |
20 | Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches | Reliability Engineering and System Safety | 2011 | 552 |
21 | A review on condition-based maintenance optimization models for stochastically deteriorating system | Reliability Engineering and System Safety | 2017 | 534 |
22 | The analytic hierarchy process applied to maintenance strategy selection | Reliability Engineering and System Safety | 2000 | 532 |
23 | Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis | Reliability Engineering and System Safety | 1995 | 516 |
24 | Failure diagnosis using deep belief learning based health state classification | Reliability Engineering and System Safety | 2013 | 504 |
25 | Multivariate statistical process control charts: an overview | Quality and Reliability Engineering International | 2007 | 475 |
26 | Four concepts for resilience and the implications for the future of resilience engineering | Reliability Engineering and System Safety | 2015 | 471 |
27 | Different methods are needed to propagate ignorance and variability | Reliability Engineering and System Safety | 1996 | 468 |
28 | A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models | Reliability Engineering and System Safety | 2013 | 464 |
29 | Modified failure mode and effects analysis using approximate reasoning | Reliability Engineering and System Safety | 2003 | 463 |
30 | Bayesian networks in reliability | Reliability Engineering and System Safety | 2007 | 442 |
31 | Error and uncertainty in modeling and simulation | Reliability Engineering and System Safety | 2002 | 441 |
32 | Sensitivity analysis practices: Strategies for model-based inference | Reliability Engineering and System Safety | 2006 | 432 |
33 | Challenge problems: uncertainty in system response given uncertain parameters | Reliability Engineering and System Safety | 2004 | 424 |
34 | An efficient point estimate method for probabilistic analysis | Reliability Engineering and System Safety | 1998 | 421 |
35 | The risk concept—historical and recent development trends | Reliability Engineering and System Safety | 2012 | 398 |
36 | New algorithms for fault trees analysis | Reliability Engineering and System Safety | 1993 | 379 |
37 | A Bayesian Belief Network modelling of organisational factors in risk analysis: A case study in maritime transportation | Reliability Engineering and System Safety | 2008 | 373 |
38 | A modified Weibull extension with bathtub-shaped failure rate function | Reliability Engineering and System Safety | 2002 | 370 |
39 | Theorems and examples on high dimensional model representation | Reliability Engineering and System Safety | 2003 | 368 |
40 | Classes of imperfect repair models based on reduction of failure intensity or virtual age | Reliability Engineering and System Safety | 2004 | 362 |
41 | A condition-based maintenance policy for stochastically deteriorating systems | Reliability Engineering and System Safety | 2002 | 355 |
42 | Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction | Reliability Engineering and System Safety | 2019 | 354 |
43 | Reliability analysis using an additive Weibull model with bathtub-shaped failure rate function | Reliability Engineering and System Safety | 1996 | 353 |
44 | The PHI2 method: a way to compute time-variant reliability | Reliability Engineering and System Safety | 2004 | 343 |
45 | A Bootstrap Control Chart for Weibull Percentiles | Quality and Reliability Engineering International | 2006 | 328 |
46 | Reprioritization of failures in a system failure mode and effects analysis by decision making trial and evaluation laboratory technique | Reliability Engineering and System Safety | 2006 | 327 |
47 | Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion | Reliability Engineering and System Safety | 2012 | 324 |
48 | Variable importance analysis: A comprehensive review | Reliability Engineering and System Safety | 2015 | 322 |
49 | Fuzzy assessment of FMEA for engine systems | Reliability Engineering and System Safety | 2002 | 318 |
50 | On the concept of e-maintenance: Review and current research | Reliability Engineering and System Safety | 2008 | 317 |
51 | Practical options for selecting data-driven or physics-based prognostics algorithms with reviews | Reliability Engineering and System Safety | 2015 | 312 |
52 | An approach for modelling interdependent infrastructures in the context of vulnerability analysis | Reliability Engineering and System Safety | 2010 | 311 |
53 | A discrete-time Bayesian network reliability modeling and analysis framework | Reliability Engineering and System Safety | 2005 | 310 |
54 | Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture | Reliability Engineering and System Safety | 2019 | 308 |
55 | The beta exponential distribution | Reliability Engineering and System Safety | 2006 | 301 |
56 | Resilience-based network component importance measures | Reliability Engineering and System Safety | 2013 | 300 |
57 | A quantitative method for assessing resilience of interdependent infrastructures | Reliability Engineering and System Safety | 2017 | 299 |
58 | LIF: A new Kriging based learning function and its application to structural reliability analysis | Reliability Engineering and System Safety | 2017 | 293 |
59 | Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment | Reliability Engineering and System Safety | 2009 | 288 |
60 | Resilience assessment of interdependent infrastructure systems: With a focus on joint restoration modeling and analysis | Reliability Engineering and System Safety | 2015 | 287 |
61 | Estimating the approximation error when fixing unessential factors in global sensitivity analysis | Reliability Engineering and System Safety | 2007 | 283 |
62 | Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process | Reliability Engineering and System Safety | 2019 | 281 |
63 | Efficient computation of global sensitivity indices using sparse polynomial chaos expansions | Reliability Engineering and System Safety | 2010 | 280 |
64 | Dynamic risk analysis using bow-tie approach | Reliability Engineering and System Safety | 2012 | 280 |
65 | Condition-based maintenance optimization by means of genetic algorithms and Monte Carlo simulation | Reliability Engineering and System Safety | 2002 | 279 |
66 | Challenges in the vulnerability and risk analysis of critical infrastructures | Reliability Engineering and System Safety | 2016 | 279 |
67 | An exploration of alternative approaches to the representation of uncertainty in model predictions | Reliability Engineering and System Safety | 2004 | 278 |
68 | “System-of-systems” approach for interdependent critical infrastructures | Reliability Engineering and System Safety | 2011 | 274 |
69 | Uncertainty quantification using evidence theory in multidisciplinary design optimization | Reliability Engineering and System Safety | 2004 | 273 |
70 | Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life | Reliability Engineering and System Safety | 2012 | 271 |
71 | Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence | Reliability Engineering and System Safety | 2013 | 271 |
72 | Fuzzy TOPSIS approach for failure mode, effects and criticality analysis | Quality and Reliability Engineering International | 2003 | 268 |
73 | The generalization of Latin hypercube sampling | Reliability Engineering and System Safety | 2016 | 268 |
74 | About the use of rank transformation in sensitivity analysis of model output | Reliability Engineering and System Safety | 1995 | 261 |
75 | A Monte-Carlo simulation approach for approximating multi-state two-terminal reliability | Reliability Engineering and System Safety | 2005 | 260 |
76 | Particle filtering prognostic estimation of the remaining useful life of nonlinear components | Reliability Engineering and System Safety | 2011 | 260 |
77 | Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models | Reliability Engineering and System Safety | 2009 | 257 |
78 | A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system | Reliability Engineering and System Safety | 2010 | 256 |
79 | On how to define, understand and describe risk | Reliability Engineering and System Safety | 2010 | 254 |
80 | Application of the fault tree analysis for assessment of power system reliability | Reliability Engineering and System Safety | 2009 | 252 |
81 | Software Reliability Assessment with OR Applications | Springer Series in Reliability Engineering | 2011 | 252 |
82 | Reliability optimization of series-parallel systems with a choice of redundancy strategies using a genetic algorithm | Reliability Engineering and System Safety | 2008 | 249 |
83 | Calibration, validation, and sensitivity analysis: What's what | Reliability Engineering and System Safety | 2006 | 247 |
84 | Some considerations on the treatment of uncertainties in risk assessment for practical decision making | Reliability Engineering and System Safety | 2011 | 246 |
85 | A survey of approaches combining safety and security for industrial control systems | Reliability Engineering and System Safety | 2015 | 245 |
86 | A change point method for linear profile data | Quality and Reliability Engineering International | 2007 | 243 |
87 | TU Delft expert judgment data base | Reliability Engineering and System Safety | 2008 | 243 |
88 | Prognostics 101: A tutorial for particle filter-based prognostics algorithm using Matlab | Reliability Engineering and System Safety | 2013 | 241 |
89 | Statistical monitoring of nonlinear product and process quality profiles | Quality and Reliability Engineering International | 2007 | 240 |
90 | Risk assessment in maritime transportation | Reliability Engineering and System Safety | 2001 | 235 |
91 | Maritime transportation risk analysis: Review and analysis in light of some foundational issues | Reliability Engineering and System Safety | 2015 | 235 |
92 | Hybrid PSO–SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability | Reliability Engineering and System Safety | 2015 | 235 |
93 | An explanation and critique of taguchi's contributions to quality engineering | Quality and Reliability Engineering International | 1988 | 233 |
94 | A systematic literature review of resilience engineering: Research areas and a research agenda proposal | Reliability Engineering and System Safety | 2015 | 232 |
95 | Probabilistic Physics of Failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty | Reliability Engineering and System Safety | 2016 | 232 |
96 | Proportional hazards model: a review | Reliability Engineering and System Safety | 1994 | 231 |
97 | A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis | Reliability Engineering and System Safety | 2018 | 230 |
98 | Incorporation of formal safety assessment and Bayesian network in navigational risk estimation of the Yangtze River | Reliability Engineering and System Safety | 2013 | 227 |
99 | Earthquake risk assessment of building structures | Reliability Engineering and System Safety | 2001 | 226 |
100 | Age-dependent reliability model considering effects of maintenance and working conditions | Reliability Engineering and System Safety | 1999 | 225 |