OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Quality Technology is 4. 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 2020-05-01 to 2024-05-01.)

Article	Citations
A nonparametric CUSUM chart for monitoring multivariate serially correlated processes	31
Nonparametric Phase-II control charts for monitoring high-dimensional processes with unknown parameters	31
A critique of a variety of “memory-based” process monitoring methods	27
A-optimal versus D-optimal design of screening experiments	26
Complex geometries in additive manufacturing: A new solution for lattice structure modeling and monitoring	18
Deep multistage multi-task learning for quality prediction of multistage manufacturing systems	16
Statistical monitoring of the covariance matrix in multivariate processes: A literature review	14
Toward a better monitoring statistic for profile monitoring via variational autoencoders	13
Online automatic anomaly detection for photovoltaic systems using thermography imaging and low rank matrix decomposition	12
Multi-sensor based landslide monitoring via transfer learning	11
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
Phase I analysis of high-dimensional covariance matrices based on sparse leading eigenvalues	9
Planning accelerated life tests with multiple sources of random effects	9
Robust multivariate control chart based on shrinkage for individual observations	9
Degradation under dynamic operating conditions: Modeling, competing processes and applications	8
Optimal design subsampling from Big Datasets	8
Monitoring and root-cause diagnostics of high-dimensional data streams	8
Functional directed graphical models and applications in root-cause analysis and diagnosis	8
Robust experimental designs for model calibration	8
Robustness with respect to class imbalance in artificial intelligence classification algorithms	7
Change detection in parametric multivariate dynamic data streams using the ARMAX-GARCH model	7
Mixed-input Gaussian process emulators for computer experiments with a large number of categorical levels	7
Cluster-based data filtering for manufacturing big data systems	6
A distribution-free joint monitoring scheme for location and scale using individual observations	6

Order-of-addition mixture experiments	6
An adaptive sensor selection framework for multisensor prognostics	6
Anomaly detection in large-scale networks: A state-space decision process	5
Predictive Control Charts (PCC): A Bayesian approach in online monitoring of short runs	5
Design of variance control charts with estimated parameters: A head to head comparison between two perspectives	5
Ratings meet reviews in the monitoring of online products and services	5
Monitoring proportions with two components of common cause variation	4
Estimating pure-error from near replicates in design of experiments	4
Multilevel process monitoring: A case study to predict student success or failure	4
Open data for open science in Industry 4.0: In-situ monitoring of quality in additive manufacturing	4
Optimal experimental designs for ordinal models with mixed factors for industrial and healthcare applications	4
Self-starting process monitoring based on transfer learning	4
A spatiotemporal prediction approach for a 3D thermal field from sensor networks	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