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 2020-11-01 to 2024-11-01.)

Article	Citations
A critique of a variety of “memory-based” process monitoring methods	36
Complex geometries in additive manufacturing: A new solution for lattice structure modeling and monitoring	24
Deep multistage multi-task learning for quality prediction of multistage manufacturing systems	21
Statistical monitoring of the covariance matrix in multivariate processes: A literature review	18
Online automatic anomaly detection for photovoltaic systems using thermography imaging and low rank matrix decomposition	18
Toward a better monitoring statistic for profile monitoring via variational autoencoders	16
Multi-sensor based landslide monitoring via transfer learning	13
Controlling the conditional false alarm rate for the MEWMA control chart	11
Artificial intelligence and statistics for quality technology: an introduction to the special issue	11
Robustness with respect to class imbalance in artificial intelligence classification algorithms	9
Robust experimental designs for model calibration	9
Predictive Control Charts (PCC): A Bayesian approach in online monitoring of short runs	9
Structural tensor-on-tensor regression with interaction effects and its application to a hot rolling process	8
Robust multivariate control chart based on shrinkage for individual observations	8
Optimal design subsampling from Big Datasets	8
An adaptive sensor selection framework for multisensor prognostics	8
Change detection in parametric multivariate dynamic data streams using the ARMAX-GARCH model	8
Order-of-addition mixture experiments	7
Self-starting process monitoring based on transfer learning	6
Open data for open science in Industry 4.0: In-situ monitoring of quality in additive manufacturing	6
Cluster-based data filtering for manufacturing big data systems	6
Phase I control chart for individual autocorrelated data: application to prescription opioid monitoring	6
Design of variance control charts with estimated parameters: A head to head comparison between two perspectives	6
A comprehensive toolbox for the gamma distribution: The gammadist package	6
Spatio-temporal process monitoring using exponentially weighted spatial LASSO	5

funcharts: control charts for multivariate functional data in R	5
Optimal experimental designs for ordinal models with mixed factors for industrial and healthcare applications	5
Estimating pure-error from near replicates in design of experiments	5
Analyzing dispersion effects from replicated order-of-addition experiments	4
A spatiotemporal prediction approach for a 3D thermal field from sensor networks	4
Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator	4
Two-level orthogonal screening designs with 80, 96, and 112 runs, and up to 29 factors	4
Monitoring proportions with two components of common cause variation	4
Design and properties of the predictive ratio cusum (PRC) control charts	4
Boost-R: Gradient boosted trees for recurrence data	4
Predictive ratio CUSUM (PRC): A Bayesian approach in online change point detection of short runs	4
Entropy-based adaptive design for contour finding and estimating reliability	3
A continual learning framework for adaptive defect classification and inspection	3
In-profile monitoring for cluster-correlated data in advanced manufacturing system	3
Phase I analysis of high-dimensional processes in the presence of outliers	3
Design strategies and approximation methods for high-performance computing variability management	3
cpss: an R package for change-point detection by sample-splitting methods	3
Nonparametric monitoring of sunspot number observations	3
Forward stepwise random forest analysis for experimental designs	3
Monitoring and diagnostics of correlated quality variables of different types	2
Federated generalized scalar-on-tensor regression	2
The fish patty experiment: a strip-plot look	2
Data-level transfer learning for degradation modeling and prognosis	2
Statistical Inference via Data Science: A Modern Dive into R and the Tidyverse	2
A family of orthogonal main effects screening designs for mixed-level factors	2
Change point detection and issue localization based on fleet-wide fault data	2
Scalable level-wise screening experiments using locating arrays	2
Knots and their effect on the tensile strength of lumber: A case study	2
Analysis of data from orthogonal minimally aliased response surface designs	2
Blocking OMARS designs and definitive screening designs	2
Hierarchical point process models for recurring safety critical events involving commercial truck drivers: A reliability framework for human performance modeling	2
The 100th anniversary of the control chart	2
A review and comparison of control charts for ordinal samples	2
Multi-node system modeling and monitoring with extended directed graphical models	1
Best practices for multi- and mixed-level supersaturated designs	1
Augmenting definitive screening designs: Going outside the box	1
Book review: Introduction to statistical process control	1
A blocked staggered-level design for an experiment with two hard-to-change factors	1
Efficient analysis of split-plot experimental designs using model averaging	1
A non-linear mixed model approach for detecting outlying profiles	1
Directional fault classification for correlated High-Dimensional data streams using hidden Markov models	1
Adaptive-region sequential design with quantitative and qualitative factors in application to HPC configuration	1
Bayesian analysis and follow-up experiments for supersaturated multistratum designs	1
Letter to the editor	1