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 2020-04-01 to 2024-04-01.)

Article	Citations
A nonparametric CUSUM chart for monitoring multivariate serially correlated processes	30
Nonparametric Phase-II control charts for monitoring high-dimensional processes with unknown parameters	29
A critique of a variety of “memory-based” process monitoring methods	27
A-optimal versus D-optimal design of screening experiments	26
Deep multistage multi-task learning for quality prediction of multistage manufacturing systems	16
Complex geometries in additive manufacturing: A new solution for lattice structure modeling and monitoring	16
Statistical monitoring of the covariance matrix in multivariate processes: A literature review	13
Toward a better monitoring statistic for profile monitoring via variational autoencoders	13
Artificial intelligence and statistics for quality technology: an introduction to the special issue	11
Online automatic anomaly detection for photovoltaic systems using thermography imaging and low rank matrix decomposition	11
Multi-sensor based landslide monitoring via transfer learning	11
Controlling the conditional false alarm rate for the MEWMA control chart	9
Planning accelerated life tests with multiple sources of random effects	9
Robust multivariate control chart based on shrinkage for individual observations	9
Robust experimental designs for model calibration	8
Optimal design subsampling from Big Datasets	8
Phase I analysis of high-dimensional covariance matrices based on sparse leading eigenvalues	8
Mixed-input Gaussian process emulators for computer experiments with a large number of categorical levels	7
Change detection in parametric multivariate dynamic data streams using the ARMAX-GARCH model	7
Monitoring and root-cause diagnostics of high-dimensional data streams	7
Degradation under dynamic operating conditions: Modeling, competing processes and applications	7
Robustness with respect to class imbalance in artificial intelligence classification algorithms	7
Order-of-addition mixture experiments	6
A distribution-free joint monitoring scheme for location and scale using individual observations	6
Functional directed graphical models and applications in root-cause analysis and diagnosis	6

Cluster-based data filtering for manufacturing big data systems	6
An adaptive sensor selection framework for multisensor prognostics	6
Anomaly detection in large-scale networks: A state-space decision process	5
Ratings meet reviews in the monitoring of online products and services	5
Design of variance control charts with estimated parameters: A head to head comparison between two perspectives	5
Estimating pure-error from near replicates in design of experiments	4
Self-starting process monitoring based on transfer learning	4
Optimal experimental designs for ordinal models with mixed factors for industrial and healthcare applications	4
Multilevel process monitoring: A case study to predict student success or failure	4
Spatio-temporal process monitoring using exponentially weighted spatial LASSO	4
Two-level orthogonal screening designs with 80, 96, and 112 runs, and up to 29 factors	4
Design strategies and approximation methods for high-performance computing variability management	3
A spatiotemporal prediction approach for a 3D thermal field from sensor networks	3
Monitoring proportions with two components of common cause variation	3
Structural tensor-on-tensor regression with interaction effects and its application to a hot rolling process	3
Phase I control chart for individual autocorrelated data: application to prescription opioid monitoring	3
Boost-R: Gradient boosted trees for recurrence data	3
Open data for open science in Industry 4.0: In-situ monitoring of quality in additive manufacturing	3
funcharts: control charts for multivariate functional data in R	3
Forward stepwise random forest analysis for experimental designs	3
A comprehensive toolbox for the gamma distribution: The gammadist package	3
Surrogates: Gaussian process modeling, design, and optimization for the applied sciences	2
Data-level transfer learning for degradation modeling and prognosis	2
A review and comparison of control charts for ordinal samples	2
Predictive ratio CUSUM (PRC): A Bayesian approach in online change point detection of short runs	2
Hierarchical point process models for recurring safety critical events involving commercial truck drivers: A reliability framework for human performance modeling	2
Analyzing dispersion effects from replicated order-of-addition experiments	2
Statistical Inference via Data Science: A Modern Dive into R and the Tidyverse	2
Change point detection and issue localization based on fleet-wide fault data	2
Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator	2
Nonparametric monitoring of sunspot number observations	2
Predictive Control Charts (PCC): A Bayesian approach in online monitoring of short runs	2
The fish patty experiment: a strip-plot look	1
Design and properties of the predictive ratio cusum (PRC) control charts	1
Bayesian analysis and follow-up experiments for supersaturated multistratum designs	1
Federated generalized scalar-on-tensor regression	1
Letter to the editor	1
Scalable level-wise screening experiments using locating arrays	1
Entropy-based adaptive design for contour finding and estimating reliability	1
Knots and their effect on the tensile strength of lumber: A case study	1
Augmenting definitive screening designs: Going outside the box	1
Directional fault classification for correlated High-Dimensional data streams using hidden Markov models	1
cpss: an R package for change-point detection by sample-splitting methods	1
Computationally efficient Bayesian sequential function monitoring	1
Best practices for multi- and mixed-level supersaturated designs	1
The Road to Quality Control: the Industrial Application of Statistical Quality Control	1
Book review: Introduction to statistical process control	1