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 2022-06-01 to 2026-06-01.)
ArticleCitations
Multimodal recognition and prognostics based on features extracted via multisensor degradation modeling19
Response to Letter to the Editor ‘On the connection between mixed-level OMAR design and orthogonal mixed-level designs’18
Statistical Methods for Reliability Data17
A critique of neutrosophic statistical analysis illustrated with interval data from designed experiments15
Open data for open science in Industry 4.0: In-situ monitoring of quality in additive manufacturing14
Measuring the robustness of predictive probability for early stopping in two-group comparisons13
Bayesian networks with examples in R12
Predictive ratio CUSUM (PRC): A Bayesian approach in online change point detection of short runs11
Statistical Analytics for Health Data Science with SAS and R Statistical Analytics for Health Data Science with SAS and R11
A comprehensive case study on the performance of machine learning methods on the classification of solar panel electroluminescence images11
ANOVA and Mixed Models: A Short Introduction Using R ANOVA and Mixed Models: A Short Introduction Using R , by Lukas Meier. ETH Zurich, Switzerland: Chapman & Hall, 9
Constructing orthogonal minimally aliased response surface designs using circulant weighing matrices9
Constructing large orthogonal minimally aliased response surface designs by concatenating two definitive screening designs9
Applied categorical and count data analysis, 2nd edition8
Degradation modeling using Bayesian hierarchical piecewise linear models: A case study to predict void swelling in irradiated materials8
Data Science: A First Introduction8
Knots and their effect on the tensile strength of lumber: A case study8
A computational framework for censoring design in monitoring lifetime data from one-dimensional exponential families8
The 100th anniversary of the control chart7
Improved sampling scheme with adaptive backtracking and flexible resampling mechanisms for increased lot-disposition efficiency7
Data-level transfer learning for degradation modeling and prognosis7
Phase I analysis of high-dimensional processes in the presence of outliers7
Bias in the Kaplan–Meier estimator for small samples6
Message from the Editor6
Sequential Latin hypercube design for two-layer computer simulators5
Nonparametric online monitoring of dynamic networks5
Joint monitoring of location and scale for modern univariate processes5
Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator5
Statistical Design and Analysis of Biological Experiments4
Augmenting definitive screening designs: Going outside the box4
Category tree Gaussian process for computer experiments with many-category qualitative factors and application to cooling system design4
Optimization of Pharmaceutical Processes4
Reliability: Probabilistic models and statistical methods4
A nonlinear mixed-effects functional regression model based on variable selection4
Statistics for Chemical and Process Engineers: A Modern Approach Statistics for Chemical and Process Engineers: A Modern Approach , 2nd ed., by Yuri A. W. Shardt. Cham, 4
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