OOIR: Observatory of International Research

Papers

(The median citation count of Journal of Quality Technology is 0. 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.)

Article	Citations
Learning Basse R, 2nd edition, Lawrence M. Leemis, 2022, Lightning Source, 368 pp., $40, ISBN: 978-0-9829174-5-9	36
Statistical Methods for Reliability Data	30
Advanced Survival Models	23
Probability and statistical inference: From basic principles to advanced models	21
Directional fault classification for correlated High-Dimensional data streams using hidden Markov models	20
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 regression	13
Letter to the editor	11
Book review: Introduction to statistical process control	11
Next Editor of the Journal of Quality Technology: Dr. L. Allison Jones-Farmer	11
Change point detection and issue localization based on fleet-wide fault data	9
An adaptive sensor selection framework for multisensor prognostics	9
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	9
Open data for open science in Industry 4.0: In-situ monitoring of quality in additive manufacturing	8
Toward a better monitoring statistic for profile monitoring via variational autoencoders	8
Multimodal recognition and prognostics based on features extracted via multisensor degradation modeling	8
Reliability: Probabilistic models and statistical methods	8
Robust experimental designs for model calibration	8
Adaptive sampling and monitoring of partially observed images	7
Robustness with respect to class imbalance in artificial intelligence classification algorithms	7
A graphical comparison of screening designs using support recovery probabilities	6
Artificial intelligence and statistics for quality technology: an introduction to the special issue	6
V2X, GNSS, radar, and camera-based intelligent system for adaptive control of heavy mining vehicles during foggy weather	6
A change-point–based control chart for detecting sparse mean changes in high-dimensional heteroscedastic data	6
Building a Platform for Data-Driven Pandemic Prediction from Data Modeling to Visualization – The CovidLP Project	5

Controlling the conditional false alarm rate for the MEWMA control chart	5
Predictive ratio CUSUM (PRC): A Bayesian approach in online change point detection of short runs	5
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. IS	5
Powerful and robust dispersion contrasts for replicated orthogonal designs	4
A non-linear mixed model approach for detecting outlying profiles	4
Measuring the robustness of predictive probability for early stopping in two-group comparisons	4
Monitoring proportions with two components of common cause variation	4
Blocking OMARS designs and definitive screening designs	4
In-profile monitoring for cluster-correlated data in advanced manufacturing system	4
Correction	3
Statistical Design and Analysis of Biological Experiments	3
Complex geometries in additive manufacturing: A new solution for lattice structure modeling and monitoring	3
A comprehensive case study on the performance of machine learning methods on the classification of solar panel electroluminescence images	3
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 box	3
Deep multistage multi-task learning for quality prediction of multistage manufacturing systems	3
Optimization of Pharmaceutical Processes	2
Boost-R: Gradient boosted trees for recurrence data	2
An introduction to acceptance sampling and SPC with R	2
Efficient analysis of split-plot experimental designs using model averaging	2
Optimal constrained design of control charts using stochastic approximations	2
A comprehensive toolbox for the gamma distribution: The gammadist package	2
An adaptive multivariate functional EWMA control chart	2
Spatial modeling and monitoring considering long-range dependence	2
SpTe2M: An R package for nonparametric modeling and monitoring of spatiotemporal data	2
Monitoring and diagnostics of correlated quality variables of different types	2
Robust multivariate control chart based on shrinkage for individual observations	2
Understanding elections through statistics by Ole J. Forsberg, CRC press, Taylor & Francis group, boca Raton, FL, 2020, 225 pp., $69.95, ISBN 978-0367895372	2
A family of orthogonal main effects screening designs for mixed-level factors	1
Multi-sensor based landslide monitoring via transfer learning	1
Correction	1
Quality prediction using functional linear regression with in-situ image and functional sensor data	1
Next Editor of the Journal of Quality Technology : Dr. Rong Pan	1
Bayesian sequential design for sensitivity experiments with hybrid responses	1
Statistical Analytics for Health Data Science with SAS and R Statistical Analytics for Health Data Science with SAS and R	1
Predictive Control Charts (PCC): A Bayesian approach in online monitoring of short runs	1
Analysis of data from orthogonal minimally aliased response surface designs	1
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,	1
Bayesian analysis and follow-up experiments for supersaturated multistratum designs	1
Reliability estimation following a field intervention	1
Optimal designs for two-stage inference	1
Message from the Editor	0
Utilizing individual clear effects for intelligent factor allocations and design selections	0
Construction of orthogonal-MaxPro Latin hypercube designs	0
ASQ Books	0
Computational and Statistical Methods for Chemical Engineering	0
Hierarchical point process models for recurring safety critical events involving commercial truck drivers: A reliability framework for human performance modeling	0
Change detection in parametric multivariate dynamic data streams using the ARMAX-GARCH model	0
Order-of-addition mixture experiments	0
Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator	0

A note on a useful yet overlooked algorithm for total system Bayesian reliability estimation	0
Use of the bias-corrected parametric bootstrap in sensitivity testing/analysis to construct confidence bounds with accurate levels of coverage	0
Best practices for multi- and mixed-level supersaturated designs	0
Cluster-based data filtering for manufacturing big data systems	0
Online automatic anomaly detection for photovoltaic systems using thermography imaging and low rank matrix decomposition	0
Lot acceptance testing using sample mean and extremum with finite qualification samples	0
Multivariate reparameterized inverse Gaussian processes with common effects for degradation-based reliability prediction	0
Degradation modeling using Bayesian hierarchical piecewise linear models: A case study to predict void swelling in irradiated materials	0
Deep least squares one-class classification	0
Design and Analysis of Experiments and Observational Studies using R	0
Design and properties of the predictive ratio cusum (PRC) control charts	0
Bayesian Modeling and Computation in Python	0
Applied categorical and count data analysis, 2nd edition	0
Interaction effects in pairwise ordering model	0
Self-starting process monitoring based on transfer learning	0
Addendum to “Estimating pure-error from near replicates in design of experiments”	0
cpss: an R package for change-point detection by sample-splitting methods	0
Joint monitoring of location and scale for modern univariate processes	0
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	0
Statistical Machine Learning – A Unified Framework	0
Entropy-based adaptive design for contour finding and estimating reliability	0
Editorial advice for selecting an open-source license for your next paper: Navigating copyrights for publicly facing AI chatbots	0
Multi-node system modeling and monitoring with extended directed graphical models	0
Structural tensor-on-tensor regression with interaction effects and its application to a hot rolling process	0
Real-time monitoring of functional data	0
Estimating pure-error from near replicates in design of experiments	0
Optimal design subsampling from Big Datasets	0
Knots and their effect on the tensile strength of lumber: A case study	0
A review and comparison of control charts for ordinal samples	0
ASQ Membership	0
Simulation experiment design for calibration via active learning	0
Design strategies and approximation methods for high-performance computing variability management	0
Nonparametric monitoring of sunspot number observations	0
Adaptive-region sequential design with quantitative and qualitative factors in application to HPC configuration	0
The fish patty experiment: a strip-plot look	0
Monitoring reliability under competing risks using field data	0
Augmenting system tests with component tests for reliability assurance	0
Construction of orthogonal maximin distance designs	0
Two-level orthogonal screening designs with 80, 96, and 112 runs, and up to 29 factors	0
Group-wise monitoring of multivariate data with missing values	0
Statistical monitoring of the covariance matrix in multivariate processes: A literature review	0
Phase I analysis of high-dimensional processes in the presence of outliers	0
Nonparametric online monitoring of dynamic networks	0
Category tree Gaussian process for computer experiments with many-category qualitative factors and application to cooling system design	0
The 100th anniversary of the control chart	0
Design and analysis of facility location experiments applied to sanitizer dispensers	0
Introduction to time series modeling with applications in R	0
Analyzing dispersion effects from replicated order-of-addition experiments	0
A critique of a variety of “memory-based” process monitoring methods	0
Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models	0
Industrial Data Analytics for Diagnosis and Prognosis: A Random Effects Modeling Approach	0
Multilevel model versus recurrent neural network: A case study to predict student success or failure revisited	0
A blocked staggered-level design for an experiment with two hard-to-change factors	0
Sequential Latin hypercube design for two-layer computer simulators	0
Data Science: A First Introduction Data Science: A First Introduction , by Tiffany Timbers, Trevor Campbell, and Melissa Lee. Boca Raton, FL: CRC Press, 2022, xxiii + 42	0
Phase I control chart for individual autocorrelated data: application to prescription opioid monitoring	0
A comprehensive survey of recent research on profile data analysis	0
Introducing ChatSQC: Enhancing statistical quality control with augmented AI	0
Batch sequential designs in Bayesian preference elicitation with application to tradespace exploration for vehicle concept design	0
A unified framework for high-dimensional data stream analysis in fault diagnosis	0
A continual learning framework for adaptive defect classification and inspection	0
Spatio-temporal process monitoring using exponentially weighted spatial LASSO	0
The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach	0
Data-level transfer learning for degradation modeling and prognosis	0
Scalable level-wise screening experiments using locating arrays	0
funcharts: control charts for multivariate functional data in R	0
Knowledge-infused process monitoring for quality improvement in solar cell manufacturing processes	0