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 2021-03-01 to 2025-03-01.)
ArticleCitations
Learning Basse R, 2nd edition, Lawrence M. Leemis, 2022, Lightning Source, 368 pp., $40, ISBN: 978-0-9829174-5-936
Statistical Methods for Reliability Data30
Advanced Survival Models23
Probability and statistical inference: From basic principles to advanced models21
Directional fault classification for correlated High-Dimensional data streams using hidden Markov models20
Introduction to High-Dimensional Statistics, Christophe Giraud. Chapman\& Hall/CRC Press, 2021, 364 pp., $72.00 hardcover, ISBN 978-0-367-71622-6.16
Federated generalized scalar-on-tensor regression13
Letter to the editor11
Book review: Introduction to statistical process control11
Next Editor of the Journal of Quality Technology: Dr. L. Allison Jones-Farmer11
Change point detection and issue localization based on fleet-wide fault data9
An adaptive sensor selection framework for multisensor prognostics9
The Reliability of Generating Data The Reliability of Generating Data , by K. Krippendorf. Boca Raton, FL: Chapman and Hall/CRC, 2023, 328 pp., $130.00; ISBN 978-03676309
Open data for open science in Industry 4.0: In-situ monitoring of quality in additive manufacturing8
Toward a better monitoring statistic for profile monitoring via variational autoencoders8
Multimodal recognition and prognostics based on features extracted via multisensor degradation modeling8
Reliability: Probabilistic models and statistical methods8
Robust experimental designs for model calibration8
Adaptive sampling and monitoring of partially observed images7
Robustness with respect to class imbalance in artificial intelligence classification algorithms7
A graphical comparison of screening designs using support recovery probabilities6
Artificial intelligence and statistics for quality technology: an introduction to the special issue6
V2X, GNSS, radar, and camera-based intelligent system for adaptive control of heavy mining vehicles during foggy weather6
A change-point–based control chart for detecting sparse mean changes in high-dimensional heteroscedastic data6
Building a Platform for Data-Driven Pandemic Prediction from Data Modeling to Visualization – The CovidLP Project5
Controlling the conditional false alarm rate for the MEWMA control chart5
Predictive ratio CUSUM (PRC): A Bayesian approach in online change point detection of short runs5
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. IS5
Powerful and robust dispersion contrasts for replicated orthogonal designs4
A non-linear mixed model approach for detecting outlying profiles4
Measuring the robustness of predictive probability for early stopping in two-group comparisons4
Monitoring proportions with two components of common cause variation4
Blocking OMARS designs and definitive screening designs4
In-profile monitoring for cluster-correlated data in advanced manufacturing system4
Correction3
Statistical Design and Analysis of Biological Experiments3
Complex geometries in additive manufacturing: A new solution for lattice structure modeling and monitoring3
A comprehensive case study on the performance of machine learning methods on the classification of solar panel electroluminescence images3
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, 3
Augmenting definitive screening designs: Going outside the box3
Deep multistage multi-task learning for quality prediction of multistage manufacturing systems3
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