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 2022-08-01 to 2026-08-01.)

Article	Citations
Multimodal recognition and prognostics based on features extracted via multisensor degradation modeling	19
Statistical Methods for Reliability Data	18
Response to Letter to the Editor ‘On the connection between mixed-level OMAR design and orthogonal mixed-level designs’	18
A critique of neutrosophic statistical analysis illustrated with interval data from designed experiments	15
Bayesian networks with examples in R	14
Predictive ratio CUSUM (PRC): A Bayesian approach in online change point detection of short runs	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	12
Statistical Analytics for Health Data Science with SAS and R Statistical Analytics for Health Data Science with SAS and R	11
A comprehensive case study on the performance of machine learning methods on the classification of solar panel electroluminescence images	11
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
Constructing large orthogonal minimally aliased response surface designs by concatenating two definitive screening designs	9
Data Science: A First Introduction	9
A multi-objective approach to maximin and near-orthogonal Latin hypercube designs using good lattice points and genetic algorithms	9
Applied categorical and count data analysis, 2nd edition	9
Constructing orthogonal minimally aliased response surface designs using circulant weighing matrices	9
Knots and their effect on the tensile strength of lumber: A case study	8
A computational framework for censoring design in monitoring lifetime data from one-dimensional exponential families	8
Degradation modeling using Bayesian hierarchical piecewise linear models: A case study to predict void swelling in irradiated materials	7
Improved sampling scheme with adaptive backtracking and flexible resampling mechanisms for increased lot-disposition efficiency	7
Ensemble EWMA control charts for monitoring prioritized shift regimes	7
Phase I analysis of high-dimensional processes in the presence of outliers	7
Message from the Editor	7
The 100th anniversary of the control chart	7
Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator	7

Sequential Latin hypercube design for two-layer computer simulators	6
Nonparametric online monitoring of dynamic networks	6
Bias in the Kaplan–Meier estimator for small samples	6
Reliability: Probabilistic models and statistical methods	5
Joint monitoring of location and scale for modern univariate processes	5
A nonlinear mixed-effects functional regression model based on variable selection	5
Category tree Gaussian process for computer experiments with many-category qualitative factors and application to cooling system design	5
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
Augmenting definitive screening designs: Going outside the box	4
Next Editor of the Journal of Quality Technology : Dr. Rong Pan	4
Statistical Design and Analysis of Biological Experiments	4
Dynamic count time series modeling and anomaly detection for online automotive quality complaints	4
Optimization of Pharmaceutical Processes	4
Analysis of data from orthogonal minimally aliased response surface designs	4
Efficient analysis of split-plot experimental designs using model averaging	3
Multilevel model versus recurrent neural network: A case study to predict student success or failure revisited	3
Phase I control chart for individual autocorrelated data: application to prescription opioid monitoring	3
Real-time monitoring of functional data	3
Criticality assessment for multivariate process monitoring: Development of a weighted χ ² control chart	3
Practical implementation of an End-to-end methodology for SPC of 3-D part geometry: A case study	3
A continual learning framework for adaptive defect classification and inspection	3
Best practices for multi- and mixed-level supersaturated designs	3
A note on a useful yet overlooked algorithm for total system Bayesian reliability estimation	3
A general framework for monitoring mixed data	3
Use of the bias-corrected parametric bootstrap in sensitivity testing/analysis to construct confidence bounds with accurate levels of coverage	3
A distribution-free monitoring technique for covariate-regulated processes	3
In-profile monitoring for cluster-correlated data in advanced manufacturing system	2
Optimal constrained design of control charts using stochastic approximations	2
Time-synchronized sensor clustering via rare events: A case study in semiconductor manufacturing processes	2
Quality prediction using functional linear regression with in-situ image and functional sensor data	2
A case study on quantifying reliability under extreme risk constraints in space missions	2
Automated analysis of experiments using hierarchical garrote	2
A non-linear mixed model approach for detecting outlying profiles	2
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
Covariate-dependent stress–strength reliability under the shape-extended continuous Bernoulli distribution	1
A risk-adjusted, exponentially weighted moving average (EWMA) chart based on ordinal information for multiple surgical outcome monitoring	1
Adapting OpenAI’s CLIP model for few-shot image inspection in manufacturing quality control: An expository case study with multiple application examples	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
Interaction effects in pairwise ordering model	1
Federated generalized scalar-on-tensor regression	1
Scalable level-wise screening experiments using locating arrays	1
Convolutional variational autoencoder for real-time monitoring of high-dimensional partially observed ordinal categorical data streams	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
Adaptive-region sequential design with quantitative and qualitative factors in application to HPC configuration	1
Construction of orthogonal maximin distance designs	1
Group-wise monitoring of multivariate data with missing values	1
On modeling of multiplicative bias factor for multivariate degradation data	1
An improved Lenth’s method with applications to second-order designs	1
A study on the performance of matrix control charts based on the normal distribution	1

Batch sequential designs in Bayesian preference elicitation with application to tradespace exploration for vehicle concept design	1
Measuring sampling plan utility in post-marketing surveillance of medical products	1