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 2021-02-01 to 2025-02-01.)

Article	Citations
An adaptive sensor selection framework for multisensor prognostics	36
Learning Basse R, 2nd edition, Lawrence M. Leemis, 2022, Lightning Source, 368 pp., $40, ISBN: 978-0-9829174-5-9	28
Statistical Methods for Reliability Data	21
Probability and statistical inference: From basic principles to advanced models	20
Advanced Survival Models	20
Directional fault classification for correlated High-Dimensional data streams using hidden Markov models	16
Introduction to High-Dimensional Statistics, Christophe Giraud. Chapman\& Hall/CRC Press, 2021, 364 pp., $72.00 hardcover, ISBN 978-0-367-71622-6.	13
Book review: Introduction to statistical process control	11
Federated generalized scalar-on-tensor regression	11
Letter to the editor	11
Next Editor of the Journal of Quality Technology: Dr. L. Allison Jones-Farmer	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
Reliability: Probabilistic models and statistical methods	8
Robust experimental designs for model calibration	8
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
Change point detection and issue localization based on fleet-wide fault data	8
Robustness with respect to class imbalance in artificial intelligence classification algorithms	7
Multimodal recognition and prognostics based on features extracted via multisensor degradation modeling	7
Controlling the conditional false alarm rate for the MEWMA control chart	6
A non-linear mixed model approach for detecting outlying profiles	6
Powerful and robust dispersion contrasts for replicated orthogonal designs	6
Building a Platform for Data-Driven Pandemic Prediction from Data Modeling to Visualization – The CovidLP Project	6
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

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,	5
A graphical comparison of screening designs using support recovery probabilities	4
Augmenting definitive screening designs: Going outside the box	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
V2X, GNSS, radar, and camera-based intelligent system for adaptive control of heavy mining vehicles during foggy weather	4
Statistical Design and Analysis of Biological Experiments	4
Blocking OMARS designs and definitive screening designs	4
Artificial intelligence and statistics for quality technology: an introduction to the special issue	3
Complex geometries in additive manufacturing: A new solution for lattice structure modeling and monitoring	3
A change-point–based control chart for detecting sparse mean changes in high-dimensional heteroscedastic data	3
Adaptive sampling and monitoring of partially observed images	3
Deep multistage multi-task learning for quality prediction of multistage manufacturing systems	3
In-profile monitoring for cluster-correlated data in advanced manufacturing system	3
A comprehensive case study on the performance of machine learning methods on the classification of solar panel electroluminescence images	3
An adaptive multivariate functional EWMA control chart	2
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,	2
A family of orthogonal main effects screening designs for mixed-level factors	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
Next Editor of the Journal of Quality Technology : Dr. Rong Pan	2
Bayesian analysis and follow-up experiments for supersaturated multistratum designs	2
An introduction to acceptance sampling and SPC with R	2
Multi-sensor based landslide monitoring via transfer learning	2
Optimization of Pharmaceutical Processes	2
Statistical Analytics for Health Data Science with SAS and R Statistical Analytics for Health Data Science with SAS and R	2
Correction	2
Efficient analysis of split-plot experimental designs using model averaging	2
Analysis of data from orthogonal minimally aliased response surface designs	1
Monitoring and diagnostics of correlated quality variables of different types	1
Quality prediction using functional linear regression with in-situ image and functional sensor data	1
Optimal constrained design of control charts using stochastic approximations	1
Predictive Control Charts (PCC): A Bayesian approach in online monitoring of short runs	1
Correction	1
SpTe2M: An R package for nonparametric modeling and monitoring of spatiotemporal data	1
Spatial modeling and monitoring considering long-range dependence	1
Boost-R: Gradient boosted trees for recurrence data	1
Optimal designs for two-stage inference	1
Bayesian sequential design for sensitivity experiments with hybrid responses	1
Design and properties of the predictive ratio cusum (PRC) control charts	0
Introducing ChatSQC: Enhancing statistical quality control with augmented AI	0
Lot acceptance testing using sample mean and extremum with finite qualification samples	0
Message from the Editor	0
Multivariate reparameterized inverse Gaussian processes with common effects for degradation-based reliability prediction	0
Adaptive-region sequential design with quantitative and qualitative factors in application to HPC configuration	0
ASQ Books	0
Real-time monitoring of functional data	0
ASQ Membership	0
Construction of orthogonal-MaxPro Latin hypercube designs	0
Editorial advice for selecting an open-source license for your next paper: Navigating copyrights for publicly facing AI chatbots	0

Sequential Latin hypercube design for two-layer computer simulators	0
A comprehensive survey of recent research on profile data analysis	0
Bayesian Modeling and Computation in Python	0
Addendum to “Estimating pure-error from near replicates in design of experiments”	0
Nonparametric online monitoring of dynamic networks	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
Hierarchical point process models for recurring safety critical events involving commercial truck drivers: A reliability framework for human performance modeling	0
Two-level orthogonal screening designs with 80, 96, and 112 runs, and up to 29 factors	0
Simulation experiment design for calibration via active learning	0
Phase I control chart for individual autocorrelated data: application to prescription opioid monitoring	0
Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator	0
Spatio-temporal process monitoring using exponentially weighted spatial LASSO	0
Industrial Data Analytics for Diagnosis and Prognosis: A Random Effects Modeling Approach	0
Structural tensor-on-tensor regression with interaction effects and its application to a hot rolling process	0
Use of the bias-corrected parametric bootstrap in sensitivity testing/analysis to construct confidence bounds with accurate levels of coverage	0
Deep least squares one-class classification	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
Batch sequential designs in Bayesian preference elicitation with application to tradespace exploration for vehicle concept design	0
Design strategies and approximation methods for high-performance computing variability management	0
Design and analysis of facility location experiments applied to sanitizer dispensers	0
Applied categorical and count data analysis, 2nd edition	0
Best practices for multi- and mixed-level supersaturated designs	0
Joint monitoring of location and scale for modern univariate processes	0
Design and Analysis of Experiments and Observational Studies using R	0
Computational and Statistical Methods for Chemical Engineering	0
Group-wise monitoring of multivariate data with missing values	0
Knowledge-infused process monitoring for quality improvement in solar cell manufacturing processes	0
Entropy-based adaptive design for contour finding and estimating reliability	0
The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach	0
Multi-node system modeling and monitoring with extended directed graphical models	0
Phase I analysis of high-dimensional processes in the presence of outliers	0
Interaction effects in pairwise ordering model	0
Data-level transfer learning for degradation modeling and prognosis	0
The fish patty experiment: a strip-plot look	0
The 100th anniversary of the control chart	0
Multilevel model versus recurrent neural network: A case study to predict student success or failure revisited	0
Reliability estimation following a field intervention	0
Cluster-based data filtering for manufacturing big data systems	0
Order-of-addition mixture experiments	0
Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models	0
A review and comparison of control charts for ordinal samples	0
A continual learning framework for adaptive defect classification and inspection	0
Statistical monitoring of the covariance matrix in multivariate processes: A literature review	0
Online automatic anomaly detection for photovoltaic systems using thermography imaging and low rank matrix decomposition	0
A blocked staggered-level design for an experiment with two hard-to-change factors	0
Category tree Gaussian process for computer experiments with many-category qualitative factors and application to cooling system design	0
A unified framework for high-dimensional data stream analysis in fault diagnosis	0
Augmenting system tests with component tests for reliability assurance	0
Introduction to time series modeling with applications in R	0
Knots and their effect on the tensile strength of lumber: A case study	0
Construction of orthogonal maximin distance designs	0
Monitoring reliability under competing risks using field data	0
Statistical Machine Learning – A Unified Framework	0
funcharts: control charts for multivariate functional data in R	0
Change detection in parametric multivariate dynamic data streams using the ARMAX-GARCH model	0
A critique of a variety of “memory-based” process monitoring methods	0
Utilizing individual clear effects for intelligent factor allocations and design selections	0
Optimal design subsampling from Big Datasets	0
Self-starting process monitoring based on transfer learning	0
cpss: an R package for change-point detection by sample-splitting methods	0
Estimating pure-error from near replicates in design of experiments	0
Degradation modeling using Bayesian hierarchical piecewise linear models: A case study to predict void swelling in irradiated materials	0
Analyzing dispersion effects from replicated order-of-addition experiments	0
A comprehensive toolbox for the gamma distribution: The gammadist package	0
Scalable level-wise screening experiments using locating arrays	0
Nonparametric monitoring of sunspot number observations	0