Journal of Quality Technology

Papers
(The median citation count of Journal of Quality Technology is 1. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Multimodal recognition and prognostics based on features extracted via multisensor degradation modeling46
Open data for open science in Industry 4.0: In-situ monitoring of quality in additive manufacturing26
Statistical Methods for Reliability Data19
Response to Letter to the Editor ‘On the connection between mixed-level OMAR design and orthogonal mixed-level designs’15
A critique of neutrosophic statistical analysis illustrated with interval data from designed experiments13
Measuring the robustness of predictive probability for early stopping in two-group comparisons12
Predictive ratio CUSUM (PRC): A Bayesian approach in online change point detection of short runs12
A comprehensive case study on the performance of machine learning methods on the classification of solar panel electroluminescence images11
Bayesian networks with examples in R11
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, 10
Statistical Analytics for Health Data Science with SAS and R Statistical Analytics for Health Data Science with SAS and R10
Applied categorical and count data analysis, 2nd edition10
Degradation modeling using Bayesian hierarchical piecewise linear models: A case study to predict void swelling in irradiated materials9
Knots and their effect on the tensile strength of lumber: A case study9
Data Science: A First Introduction9
Online automatic anomaly detection for photovoltaic systems using thermography imaging and low rank matrix decomposition8
Improved sampling scheme with adaptive backtracking and flexible resampling mechanisms for increased lot-disposition efficiency7
Data-level transfer learning for degradation modeling and prognosis6
Phase I analysis of high-dimensional processes in the presence of outliers6
Nonparametric online monitoring of dynamic networks5
Message from the Editor5
The 100th anniversary of the control chart5
Joint monitoring of location and scale for modern univariate processes4
Reliability: Probabilistic models and statistical methods4
Augmenting definitive screening designs: Going outside the box4
Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator4
Building a Platform for Data-Driven Pandemic Prediction from Data Modeling to Visualization – The CovidLP Project4
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
Sequential Latin hypercube design for two-layer computer simulators4
Category tree Gaussian process for computer experiments with many-category qualitative factors and application to cooling system design4
A nonlinear mixed-effects functional regression model based on variable selection4
An adaptive sensor selection framework for multisensor prognostics4
Next Editor of the Journal of Quality Technology : Dr. Rong Pan3
Bayesian sequential design for sensitivity experiments with hybrid responses3
Analysis of data from orthogonal minimally aliased response surface designs3
Statistical Design and Analysis of Biological Experiments3
Optimization of Pharmaceutical Processes3
Best practices for multi- and mixed-level supersaturated designs2
Use of the bias-corrected parametric bootstrap in sensitivity testing/analysis to construct confidence bounds with accurate levels of coverage2
Real-time monitoring of functional data2
A continual learning framework for adaptive defect classification and inspection2
A general framework for monitoring mixed data2
Efficient analysis of split-plot experimental designs using model averaging2
Phase I control chart for individual autocorrelated data: application to prescription opioid monitoring2
Order-of-addition mixture experiments2
Practical implementation of an End-to-end methodology for SPC of 3-D part geometry: A case study2
ASQ Membership2
Automated analysis of experiments using hierarchical garrote1
Multilevel model versus recurrent neural network: A case study to predict student success or failure revisited1
Knowledge-infused process monitoring for quality improvement in solar cell manufacturing processes1
Multi-sensor based landslide monitoring via transfer learning1
Adaptive-region sequential design with quantitative and qualitative factors in application to HPC configuration1
Group-wise monitoring of multivariate data with missing values1
Interaction effects in pairwise ordering model1
cpss: an R package for change-point detection by sample-splitting methods1
Optimal constrained design of control charts using stochastic approximations1
In-profile monitoring for cluster-correlated data in advanced manufacturing system1
A note on a useful yet overlooked algorithm for total system Bayesian reliability estimation1
Quality prediction using functional linear regression with in-situ image and functional sensor data1
Batch sequential designs in Bayesian preference elicitation with application to tradespace exploration for vehicle concept design1
Foundations of Statistics for Data Scientists: With R and Python Foundations of Statistics for Data Scientists: With R and Python , by AlanAgresti and MariaKateri. Boca 1
Scalable level-wise screening experiments using locating arrays1
Construction of orthogonal maximin distance designs1
Artificial intelligence and statistics for quality technology: an introduction to the special issue1
A non-linear mixed model approach for detecting outlying profiles1
Bayesian Modeling and Computation in Python1
Spatio-temporal process monitoring using exponentially weighted spatial LASSO1
Design strategies and approximation methods for high-performance computing variability management1
Statistical Machine Learning – A Unified Framework1
A risk-adjusted, exponentially weighted moving average (EWMA) chart based on ordinal information for multiple surgical outcome monitoring1
Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models1
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