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 2020-11-01 to 2024-11-01.)
ArticleCitations
A critique of a variety of “memory-based” process monitoring methods36
Complex geometries in additive manufacturing: A new solution for lattice structure modeling and monitoring24
Deep multistage multi-task learning for quality prediction of multistage manufacturing systems21
Statistical monitoring of the covariance matrix in multivariate processes: A literature review18
Online automatic anomaly detection for photovoltaic systems using thermography imaging and low rank matrix decomposition18
Toward a better monitoring statistic for profile monitoring via variational autoencoders16
Multi-sensor based landslide monitoring via transfer learning13
Artificial intelligence and statistics for quality technology: an introduction to the special issue11
Controlling the conditional false alarm rate for the MEWMA control chart11
Predictive Control Charts (PCC): A Bayesian approach in online monitoring of short runs9
Robustness with respect to class imbalance in artificial intelligence classification algorithms9
Robust experimental designs for model calibration9
Change detection in parametric multivariate dynamic data streams using the ARMAX-GARCH model8
Structural tensor-on-tensor regression with interaction effects and its application to a hot rolling process8
Robust multivariate control chart based on shrinkage for individual observations8
Optimal design subsampling from Big Datasets8
An adaptive sensor selection framework for multisensor prognostics8
Order-of-addition mixture experiments7
Phase I control chart for individual autocorrelated data: application to prescription opioid monitoring6
Design of variance control charts with estimated parameters: A head to head comparison between two perspectives6
A comprehensive toolbox for the gamma distribution: The gammadist package6
Self-starting process monitoring based on transfer learning6
Open data for open science in Industry 4.0: In-situ monitoring of quality in additive manufacturing6
Cluster-based data filtering for manufacturing big data systems6
Estimating pure-error from near replicates in design of experiments5
Spatio-temporal process monitoring using exponentially weighted spatial LASSO5
funcharts: control charts for multivariate functional data in R5
Optimal experimental designs for ordinal models with mixed factors for industrial and healthcare applications5
Design and properties of the predictive ratio cusum (PRC) control charts4
Boost-R: Gradient boosted trees for recurrence data4
Predictive ratio CUSUM (PRC): A Bayesian approach in online change point detection of short runs4
Analyzing dispersion effects from replicated order-of-addition experiments4
A spatiotemporal prediction approach for a 3D thermal field from sensor networks4
Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator4
Two-level orthogonal screening designs with 80, 96, and 112 runs, and up to 29 factors4
Monitoring proportions with two components of common cause variation4
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