Quality and Reliability Engineering International

(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.)
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