Quality and Reliability Engineering International

Papers
(The H4-Index of Quality and Reliability Engineering International is 22. 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 2020-02-01 to 2024-02-01.)
ArticleCitations
An improved failure mode and effects analysis method based on uncertainty measure in the evidence theory69
Reliability analysis incorporating exponentiated inverse Weibull distribution and inverse power law52
Fault tree analysis improvements: A bibliometric analysis and literature review46
A Wiener degradation process with drift‐based approach of determining target reliability index of concrete structures45
Reliability assessment for systems suffering common cause failure based on Bayesian networks and proportional hazards model43
A double homogeneously weighted moving average control chart for monitoring of the process mean36
Design of Experiments and machine learning for product innovation: A systematic literature review34
Generalized linear model based monitoring methods for high‐yield processes32
Remaining useful life prediction via a variational autoencoder and a time‐window‐based sequence neural network32
Defect pattern recognition on wafers using convolutional neural networks31
The digital twin in Industry 4.0: A wide‐angle perspective31
Machine learning and Design of Experiments: Alternative approaches or complementary methodologies for quality improvement?30
A combined fuzzy DEMATEL and cloud model approach for risk assessment in process industries to improve system reliability28
A mixed HWMA‐CUSUM mean chart with an application to manufacturing process27
Performance of the MEWMA‐CoDa control chart in the presence of measurement errors26
A hybrid homogeneously weighted moving average control chart for process monitoring26
Explainable AI methods in cyber risk management25
Reliability allocation methods: A systematic literature review24
Reliability of safety‐critical systems: A state‐of‐the‐art review24
The impracticality of homogeneously weighted moving average and progressive mean control chart approaches23
A variable parameters multivariate control chart for simultaneous monitoring of the process mean and variability with measurement errors23
On developing an exponentially weighted moving average chart under progressive setup: An efficient approach to manufacturing processes22
On mixed memory control charts based on auxiliary information for efficient process monitoring22
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