Journal of Quality Technology

Papers
(The TQCC of Journal of Quality Technology is 4. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
A nonparametric CUSUM chart for monitoring multivariate serially correlated processes30
Nonparametric Phase-II control charts for monitoring high-dimensional processes with unknown parameters29
A critique of a variety of “memory-based” process monitoring methods27
A-optimal versus D-optimal design of screening experiments26
Complex geometries in additive manufacturing: A new solution for lattice structure modeling and monitoring16
Deep multistage multi-task learning for quality prediction of multistage manufacturing systems16
Statistical monitoring of the covariance matrix in multivariate processes: A literature review13
Toward a better monitoring statistic for profile monitoring via variational autoencoders13
Online automatic anomaly detection for photovoltaic systems using thermography imaging and low rank matrix decomposition11
Multi-sensor based landslide monitoring via transfer learning11
Artificial intelligence and statistics for quality technology: an introduction to the special issue11
Planning accelerated life tests with multiple sources of random effects9
Robust multivariate control chart based on shrinkage for individual observations9
Controlling the conditional false alarm rate for the MEWMA control chart9
Optimal design subsampling from Big Datasets8
Phase I analysis of high-dimensional covariance matrices based on sparse leading eigenvalues8
Robust experimental designs for model calibration8
Mixed-input Gaussian process emulators for computer experiments with a large number of categorical levels7
Change detection in parametric multivariate dynamic data streams using the ARMAX-GARCH model7
Monitoring and root-cause diagnostics of high-dimensional data streams7
Degradation under dynamic operating conditions: Modeling, competing processes and applications7
Robustness with respect to class imbalance in artificial intelligence classification algorithms7
Order-of-addition mixture experiments6
A distribution-free joint monitoring scheme for location and scale using individual observations6
Functional directed graphical models and applications in root-cause analysis and diagnosis6
Cluster-based data filtering for manufacturing big data systems6
An adaptive sensor selection framework for multisensor prognostics6
Anomaly detection in large-scale networks: A state-space decision process5
Ratings meet reviews in the monitoring of online products and services5
Design of variance control charts with estimated parameters: A head to head comparison between two perspectives5
Optimal experimental designs for ordinal models with mixed factors for industrial and healthcare applications4
Multilevel process monitoring: A case study to predict student success or failure4
Spatio-temporal process monitoring using exponentially weighted spatial LASSO4
Two-level orthogonal screening designs with 80, 96, and 112 runs, and up to 29 factors4
Estimating pure-error from near replicates in design of experiments4
Self-starting process monitoring based on transfer learning4
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