Quality and Reliability Engineering International

Papers
(The H4-Index of Quality and Reliability Engineering International is 23. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Integrating spatial dependence into functional clustering of NDVI in the Ecuadorian Andes153
A CNN‐BiLSTM‐Bootstrap integrated method for remaining useful life prediction of rolling bearings66
A new reliability analysis method for software‐intensive systems with degradation accumulation effect based on goal oriented methodology63
A risk‐adjusted exponentially weighted moving average control chart for detection of the scale parameter in surgical quality monitoring46
Joint Optimization of Condition‐Based Maintenance and Production Rate Using Reinforcement Learning Algorithms36
Development of robust X‐bar charts with unequal sample sizes36
Lithium‐Ion Battery RUL Prediction Based on SHAP Feature Enhancement and Dual‐Channel Residual Attention Network36
Implementation of compound optimal design in progressive first‐failure censored data35
Asynchronous Dual‐Channel TCN for Real‐Time UAV Sensor Health Monitoring Under Resource Constraints31
Reliability assessment models for competing failure processes with two types of correlative thresholds29
Optimal Planning of Step‐Stress Accelerated Degradation Test Based on Tweedie Exponential Dispersion Process With Model Misspecification29
Integrated availability importance measure analysis for multi‐state manufacturing system based on proportional hazards model29
Evaluation of orthogonal composite designs for second‐order model in presence of missing observation28
A new adaptive CUSUM control chart based on Hampel function to monitor location parameter27
An unbiased function‐based Poisson adaptive EWMA control chart for monitoring range of shifts27
Positioning failure error identification of industrial robots based on particle swarm optimization and Kriging surrogate modeling27
Fatigue reliability and sensitivity analysis of aero‐disk considering correlation26
Optimal Accelerated Life Testing Design Under Constrained Resources Using Double Deep Q‐Learning26
Large datasets, bias and model‐oriented optimal design of experiments25
Assessment of reliability and availability of a system by using a bivariate stochastic model24
24
A global strategy based on deep learning for time‐dependent optimal reliability design24
Low‐Cycle Fatigue Life Prediction Method Considering the Effect of Mean Stress on Tensile Strength24
Issue Information23
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