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 2021-12-01 to 2025-12-01.)
ArticleCitations
Multimodal recognition and prognostics based on features extracted via multisensor degradation modeling50
A critique of neutrosophic statistical analysis illustrated with interval data from designed experiments13
Open data for open science in Industry 4.0: In-situ monitoring of quality in additive manufacturing13
Response to Letter to the Editor ‘On the connection between mixed-level OMAR design and orthogonal mixed-level designs’12
Bayesian networks with examples in R11
Measuring the robustness of predictive probability for early stopping in two-group comparisons11
Predictive ratio CUSUM (PRC): A Bayesian approach in online change point detection of short runs11
Statistical Methods for Reliability Data11
A comprehensive case study on the performance of machine learning methods on the classification of solar panel electroluminescence images9
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, 8
Statistical Analytics for Health Data Science with SAS and R Statistical Analytics for Health Data Science with SAS and R8
Degradation modeling using Bayesian hierarchical piecewise linear models: A case study to predict void swelling in irradiated materials7
Applied categorical and count data analysis, 2nd edition7
Knots and their effect on the tensile strength of lumber: A case study6
Phase I analysis of high-dimensional processes in the presence of outliers6
Improved sampling scheme with adaptive backtracking and flexible resampling mechanisms for increased lot-disposition efficiency6
The 100th anniversary of the control chart6
Data Science: A First Introduction6
Data-level transfer learning for degradation modeling and prognosis6
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
Message from the Editor5
Bias in the Kaplan–Meier estimator for small samples5
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
Reliability: Probabilistic models and statistical methods4
Augmenting definitive screening designs: Going outside the box4
A nonlinear mixed-effects functional regression model based on variable selection4
Building a Platform for Data-Driven Pandemic Prediction from Data Modeling to Visualization – The CovidLP Project4
Optimization of Pharmaceutical Processes3
Efficient analysis of split-plot experimental designs using model averaging3
Phase I control chart for individual autocorrelated data: application to prescription opioid monitoring3
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
Statistical Design and Analysis of Biological Experiments3
Next Editor of the Journal of Quality Technology : Dr. Rong Pan3
Analysis of data from orthogonal minimally aliased response surface designs3
Bayesian sequential design for sensitivity experiments with hybrid responses3
Use of the bias-corrected parametric bootstrap in sensitivity testing/analysis to construct confidence bounds with accurate levels of coverage3
0.043735027313232