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 2021-04-01 to 2025-04-01.)

Article	Citations
Learning Basse R, 2nd edition, Lawrence M. Leemis, 2022, Lightning Source, 368 pp., $40, ISBN: 978-0-9829174-5-9	44
Statistical Methods for Reliability Data	31
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	14
Change point detection and issue localization based on fleet-wide fault data	11
Book review: Introduction to statistical process control	11
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	11
Letter to the editor	11
Multimodal recognition and prognostics based on features extracted via multisensor degradation modeling	10
Open data for open science in Industry 4.0: In-situ monitoring of quality in additive manufacturing	9
Reliability: Probabilistic models and statistical methods	9
Robust experimental designs for model calibration	9
Toward a better monitoring statistic for profile monitoring via variational autoencoders	9
Robustness with respect to class imbalance in artificial intelligence classification algorithms	8
Adaptive sampling and monitoring of partially observed images	8
An adaptive sensor selection framework for multisensor prognostics	8
A graphical comparison of screening designs using support recovery probabilities	7
Augmenting definitive screening designs: Going outside the box	7
Artificial intelligence and statistics for quality technology: an introduction to the special issue	7
A non-linear mixed model approach for detecting outlying profiles	6
Deep multistage multi-task learning for quality prediction of multistage manufacturing systems	6
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,	6

Predictive ratio CUSUM (PRC): A Bayesian approach in online change point detection of short runs	6
V2X, GNSS, radar, and camera-based intelligent system for adaptive control of heavy mining vehicles during foggy weather	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
Statistical Design and Analysis of Biological Experiments	4
Monitoring proportions with two components of common cause variation	4
Measuring the robustness of predictive probability for early stopping in two-group comparisons	4
In-profile monitoring for cluster-correlated data in advanced manufacturing system	4
Powerful and robust dispersion contrasts for replicated orthogonal designs	4
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	3
An introduction to acceptance sampling and SPC with R	3
Correction	3
A change-point–based control chart for detecting sparse mean changes in high-dimensional heteroscedastic data	3
Understanding elections through statistics by Ole J. Forsberg, CRC press, Taylor & Francis group, boca Raton, FL, 2020, 225 pp., $69.95, ISBN 978-0367895372	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
Blocking OMARS designs and definitive screening designs	3
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
Quality prediction using functional linear regression with in-situ image and functional sensor data	2
Monitoring and diagnostics of correlated quality variables of different types	2
Spatial modeling and monitoring considering long-range dependence	2
Next Editor of the Journal of Quality Technology : Dr. Rong Pan	2
Statistical Analytics for Health Data Science with SAS and R Statistical Analytics for Health Data Science with SAS and R	2
SpTe2M: An R package for nonparametric modeling and monitoring of spatiotemporal data	2
Bayesian analysis and follow-up experiments for supersaturated multistratum designs	2
Optimal designs for two-stage inference	2
Optimal constrained design of control charts using stochastic approximations	2
Boost-R: Gradient boosted trees for recurrence data	2
Applied categorical and count data analysis, 2nd edition	1
Optimization of Pharmaceutical Processes	1
Predictive Control Charts (PCC): A Bayesian approach in online monitoring of short runs	1
Order-of-addition mixture experiments	1
Multi-sensor based landslide monitoring via transfer learning	1
An adaptive multivariate functional EWMA control chart	1
A comprehensive toolbox for the gamma distribution: The gammadist package	1
Robust multivariate control chart based on shrinkage for individual observations	1
A family of orthogonal main effects screening designs for mixed-level factors	1
Online automatic anomaly detection for photovoltaic systems using thermography imaging and low rank matrix decomposition	1
Efficient analysis of split-plot experimental designs using model averaging	1
Bayesian sequential design for sensitivity experiments with hybrid responses	1
Reliability estimation following a field intervention	1
Analysis of data from orthogonal minimally aliased response surface designs	1
Self-starting process monitoring based on transfer learning	0
A review and comparison of control charts for ordinal samples	0
cpss: an R package for change-point detection by sample-splitting methods	0
A continual learning framework for adaptive defect classification and inspection	0
Two-level orthogonal screening designs with 80, 96, and 112 runs, and up to 29 factors	0
Adaptive-region sequential design with quantitative and qualitative factors in application to HPC configuration	0
Change detection in parametric multivariate dynamic data streams using the ARMAX-GARCH model	0
The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach	0

Group-wise monitoring of multivariate data with missing values	0
Joint monitoring of location and scale for modern univariate processes	0
Addendum to “Estimating pure-error from near replicates in design of experiments”	0
Construction of orthogonal-MaxPro Latin hypercube designs	0
Message from the Editor	0
Computational and Statistical Methods for Chemical Engineering	0
Interaction effects in pairwise ordering model	0
Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models	0
Deep least squares one-class classification	0
Multilevel model versus recurrent neural network: A case study to predict student success or failure revisited	0
Construction of orthogonal maximin distance designs	0
Real-time monitoring of functional data	0
Nonparametric monitoring of sunspot number observations	0
Use of the bias-corrected parametric bootstrap in sensitivity testing/analysis to construct confidence bounds with accurate levels of coverage	0
A blocked staggered-level design for an experiment with two hard-to-change factors	0
Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator	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
Scalable level-wise screening experiments using locating arrays	0
A critique of a variety of “memory-based” process monitoring methods	0
Phase I control chart for individual autocorrelated data: application to prescription opioid monitoring	0
Design and Analysis of Experiments and Observational Studies using R	0
Multivariate reparameterized inverse Gaussian processes with common effects for degradation-based reliability prediction	0
Multi-node system modeling and monitoring with extended directed graphical models	0
Editorial advice for selecting an open-source license for your next paper: Navigating copyrights for publicly facing AI chatbots	0
Knowledge-infused process monitoring for quality improvement in solar cell manufacturing processes	0
Category tree Gaussian process for computer experiments with many-category qualitative factors and application to cooling system design	0
Utilizing individual clear effects for intelligent factor allocations and design selections	0
Statistical Machine Learning – A Unified Framework	0
Introduction to time series modeling with applications in R	0
Analyzing dispersion effects from replicated order-of-addition experiments	0
Hierarchical point process models for recurring safety critical events involving commercial truck drivers: A reliability framework for human performance modeling	0
A note on a useful yet overlooked algorithm for total system Bayesian reliability estimation	0
Phase I analysis of high-dimensional processes in the presence of outliers	0
Batch sequential designs in Bayesian preference elicitation with application to tradespace exploration for vehicle concept design	0
ASQ Books	0
Lot acceptance testing using sample mean and extremum with finite qualification samples	0
A unified framework for high-dimensional data stream analysis in fault diagnosis	0
Knots and their effect on the tensile strength of lumber: A case study	0
Entropy-based adaptive design for contour finding and estimating reliability	0
Augmenting system tests with component tests for reliability assurance	0
Design and analysis of facility location experiments applied to sanitizer dispensers	0
ASQ Membership	0
Spatio-temporal process monitoring using exponentially weighted spatial LASSO	0
Degradation modeling using Bayesian hierarchical piecewise linear models: A case study to predict void swelling in irradiated materials	0
Best practices for multi- and mixed-level supersaturated designs	0
Monitoring reliability under competing risks using field data	0
funcharts: control charts for multivariate functional data in R	0
Statistical monitoring of the covariance matrix in multivariate processes: A literature review	0
Introducing ChatSQC: Enhancing statistical quality control with augmented AI	0
Nonparametric online monitoring of dynamic networks	0
The 100th anniversary of the control chart	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
Bayesian Modeling and Computation in Python	0
Structural tensor-on-tensor regression with interaction effects and its application to a hot rolling process	0
Design and properties of the predictive ratio cusum (PRC) control charts	0
Estimating pure-error from near replicates in design of experiments	0
Sequential Latin hypercube design for two-layer computer simulators	0
Data-level transfer learning for degradation modeling and prognosis	0
Simulation experiment design for calibration via active learning	0
A comprehensive survey of recent research on profile data analysis	0
Industrial Data Analytics for Diagnosis and Prognosis: A Random Effects Modeling Approach	0
Design strategies and approximation methods for high-performance computing variability management	0