OOIR: Observatory of International Research

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 2022-05-01 to 2026-05-01.)

Article	Citations
Multimodal recognition and prognostics based on features extracted via multisensor degradation modeling	19
Response to Letter to the Editor ‘On the connection between mixed-level OMAR design and orthogonal mixed-level designs’	17
Statistical Methods for Reliability Data	15
A critique of neutrosophic statistical analysis illustrated with interval data from designed experiments	14
Open data for open science in Industry 4.0: In-situ monitoring of quality in additive manufacturing	14
Measuring the robustness of predictive probability for early stopping in two-group comparisons	13
Bayesian networks with examples in R	12
Predictive ratio CUSUM (PRC): A Bayesian approach in online change point detection of short runs	10
A comprehensive case study on the performance of machine learning methods on the classification of solar panel electroluminescence images	10
Constructing orthogonal minimally aliased response surface designs using circulant weighing matrices	9
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
Statistical Analytics for Health Data Science with SAS and R Statistical Analytics for Health Data Science with SAS and R	9
Constructing large orthogonal minimally aliased response surface designs by concatenating two definitive screening designs	8
Applied categorical and count data analysis, 2nd edition	7
A computational framework for censoring design in monitoring lifetime data from one-dimensional exponential families	7
The 100th anniversary of the control chart	7
Data Science: A First Introduction	7
Improved sampling scheme with adaptive backtracking and flexible resampling mechanisms for increased lot-disposition efficiency	7
Knots and their effect on the tensile strength of lumber: A case study	7
Degradation modeling using Bayesian hierarchical piecewise linear models: A case study to predict void swelling in irradiated materials	7
Phase I analysis of high-dimensional processes in the presence of outliers	7
Message from the Editor	6
Data-level transfer learning for degradation modeling and prognosis	6
Category tree Gaussian process for computer experiments with many-category qualitative factors and application to cooling system design	6
Nonparametric online monitoring of dynamic networks	5

Sequential Latin hypercube design for two-layer computer simulators	5
Bias in the Kaplan–Meier estimator for small samples	5
Joint monitoring of location and scale for modern univariate processes	4
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
Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator	4
Reliability: Probabilistic models and statistical methods	4
A nonlinear mixed-effects functional regression model based on variable selection	4
Statistical Design and Analysis of Biological Experiments	4
Augmenting definitive screening designs: Going outside the box	4
Optimization of Pharmaceutical Processes	3
Real-time monitoring of functional data	3
Analysis of data from orthogonal minimally aliased response surface designs	3
Next Editor of the Journal of Quality Technology : Dr. Rong Pan	3
A distribution-free monitoring technique for covariate-regulated processes	3
Use of the bias-corrected parametric bootstrap in sensitivity testing/analysis to construct confidence bounds with accurate levels of coverage	3
Bayesian sequential design for sensitivity experiments with hybrid responses	3
A continual learning framework for adaptive defect classification and inspection	3
Dynamic count time series modeling and anomaly detection for online automotive quality complaints	3
Efficient analysis of split-plot experimental designs using model averaging	3
A general framework for monitoring mixed data	2
Multilevel model versus recurrent neural network: A case study to predict student success or failure revisited	2
Time-synchronized sensor clustering via rare events: A case study in semiconductor manufacturing processes	2
Phase I control chart for individual autocorrelated data: application to prescription opioid monitoring	2
A note on a useful yet overlooked algorithm for total system Bayesian reliability estimation	2
Automated analysis of experiments using hierarchical garrote	2
In-profile monitoring for cluster-correlated data in advanced manufacturing system	2
Best practices for multi- and mixed-level supersaturated designs	2
Spatio-temporal process monitoring using exponentially weighted spatial LASSO	2
A non-linear mixed model approach for detecting outlying profiles	2
Criticality assessment for multivariate process monitoring: Development of a weighted χ ² control chart	2
Practical implementation of an End-to-end methodology for SPC of 3-D part geometry: A case study	2
Convolutional variational autoencoder for real-time monitoring of high-dimensional partially observed ordinal categorical data streams	1
A risk-adjusted, exponentially weighted moving average (EWMA) chart based on ordinal information for multiple surgical outcome monitoring	1
Two-stage design for failure probability estimation with Gaussian process surrogates	1
A task-incremental semi-supervised meta learning method for few-shot RUL prediction	1
Scalable level-wise screening experiments using locating arrays	1
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 978-0367630	1
Adaptive-region sequential design with quantitative and qualitative factors in application to HPC configuration	1
Quality prediction using functional linear regression with in-situ image and functional sensor data	1
Group-wise monitoring of multivariate data with missing values	1
Interaction effects in pairwise ordering model	1
Construction of orthogonal maximin distance designs	1
Batch sequential designs in Bayesian preference elicitation with application to tradespace exploration for vehicle concept design	1
A study on the performance of matrix control charts based on the normal distribution	1
Optimal constrained design of control charts using stochastic approximations	1
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
Measuring sampling plan utility in post-marketing surveillance of medical products	1
Learning Basse R, 2nd edition, Lawrence M. Leemis, 2022, Lightning Source, 368 pp., $40, ISBN: 978-0-9829174-5-9	1