Journal of Quality Technology

Papers
(The TQCC of Journal of Quality Technology is 3. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Statistical Methods for Reliability Data46
Multimodal recognition and prognostics based on features extracted via multisensor degradation modeling32
Open data for open science in Industry 4.0: In-situ monitoring of quality in additive manufacturing24
A comprehensive case study on the performance of machine learning methods on the classification of solar panel electroluminescence images20
Measuring the robustness of predictive probability for early stopping in two-group comparisons16
Predictive ratio CUSUM (PRC): A Bayesian approach in online change point detection of short runs14
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, 12
Bayesian networks with examples in RBayesian networks with examples in R, 2nd Edition, by Marco Scutari and Jean-Baptiste Denis. Boca Raton, FL: Chapman & Hall/CRC Press, 2021. 258 pp., $93.10. IS12
Predictive Control Charts (PCC): A Bayesian approach in online monitoring of short runs11
Statistical Analytics for Health Data Science with SAS and R Statistical Analytics for Health Data Science with SAS and R11
Data Science: A First Introduction Data Science: A First Introduction , by Tiffany Timbers, Trevor Campbell, and Melissa Lee. Boca Raton, FL: CRC Press, 2022, xxiii + 4210
Knots and their effect on the tensile strength of lumber: A case study10
Phase I analysis of high-dimensional processes in the presence of outliers9
Applied categorical and count data analysis, 2nd edition9
Online automatic anomaly detection for photovoltaic systems using thermography imaging and low rank matrix decomposition9
Degradation modeling using Bayesian hierarchical piecewise linear models: A case study to predict void swelling in irradiated materials9
Data-level transfer learning for degradation modeling and prognosis8
Message from the Editor8
The 100th anniversary of the control chart8
Category tree Gaussian process for computer experiments with many-category qualitative factors and application to cooling system design7
Nonparametric online monitoring of dynamic networks7
Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator6
Reliability: Probabilistic models and statistical methods6
Sequential Latin hypercube design for two-layer computer simulators6
Joint monitoring of location and scale for modern univariate processes6
An adaptive sensor selection framework for multisensor prognostics5
Statistical Design and Analysis of Biological Experiments5
Building a Platform for Data-Driven Pandemic Prediction from Data Modeling to Visualization – The CovidLP Project5
Efficient analysis of split-plot experimental designs using model averaging4
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
Controlling the conditional false alarm rate for the MEWMA control chart4
Bayesian sequential design for sensitivity experiments with hybrid responses4
Augmenting definitive screening designs: Going outside the box4
Real-time monitoring of functional data3
Analysis of data from orthogonal minimally aliased response surface designs3
Optimization of Pharmaceutical Processes3
Order-of-addition mixture experiments3
Next Editor of the Journal of Quality Technology : Dr. Rong Pan3
Phase I control chart for individual autocorrelated data: application to prescription opioid monitoring3
ASQ Membership3
Boost-R: Gradient boosted trees for recurrence data3
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