Quality and Reliability Engineering International

Papers
(The H4-Index of Quality and Reliability Engineering International is 19. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
Optimizing Lognormal Process Monitoring With Bayesian Approach for Industrial Engineering Applications104
Risk analysis of construction accidents with a weighted network model considering accident level65
A modular model for reliability analysis model of PMS with multiple K/N subsystems and mixed shocks55
Statistical inference of a series reliability system using shock models with Weibull distribution55
Bayesian estimation of the mean time between failures of subsystems with different causes using interval‐censored system maintenance data47
41
Pollution concentration monitoring using a new Birnbaum–Saunders control chart36
A tensor‐based hierarchical process monitoring approach for anomaly detection in additive manufacturing34
Simulation‐based inference for reliability model selection and parameter calibration: An application to fatigue29
The ENBIS‐22 quality and reliability engineering international special issue28
Issue Information25
Integrating mixture experiments and six sigma methodology to improve fibre‐reinforced polymer composites23
Research on wake interval of paired departure at closely spaced parallel runways22
Fuzzy stress‐strength reliability for weighted exponential distribution22
Special issue “APARM 2020: Reliability and maintenance”21
Large datasets, bias and model‐oriented optimal design of experiments20
Issue Information20
Fault diagnosis for rolling bearing based on parameter transfer Bayesian network20
Application of hypergraph theory in the analysis of the failure propagation and diffusion behaviour of machining centre20
Issue Information19
Modified calibrated control charts for monitoring the population mean under stratified sampling19
Rejoinder for “Is Designed Data Collection Still Relevant in the Big Data Era?”19
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