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 2022-01-01 to 2026-01-01.)

Article	Citations
Multimodal recognition and prognostics based on features extracted via multisensor degradation modeling	50
Open data for open science in Industry 4.0: In-situ monitoring of quality in additive manufacturing	13
Statistical Methods for Reliability Data	13
Response to Letter to the Editor ‘On the connection between mixed-level OMAR design and orthogonal mixed-level designs’	13
A critique of neutrosophic statistical analysis illustrated with interval data from designed experiments	12
Predictive ratio CUSUM (PRC): A Bayesian approach in online change point detection of short runs	11
Measuring the robustness of predictive probability for early stopping in two-group comparisons	11
Bayesian networks with examples in R	11
A comprehensive case study on the performance of machine learning methods on the classification of solar panel electroluminescence images	10
Statistical Analytics for Health Data Science with SAS and R Statistical Analytics for Health Data Science with SAS and R	8
Degradation modeling using Bayesian hierarchical piecewise linear models: A case study to predict void swelling in irradiated materials	8
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,	8
Applied categorical and count data analysis, 2nd edition	7
Knots and their effect on the tensile strength of lumber: A case study	7
Data-level transfer learning for degradation modeling and prognosis	6
Joint monitoring of location and scale for modern univariate processes	6
Data Science: A First Introduction	6
The 100th anniversary of the control chart	6
Phase I analysis of high-dimensional processes in the presence of outliers	6
Improved sampling scheme with adaptive backtracking and flexible resampling mechanisms for increased lot-disposition efficiency	6
Message from the Editor	6
Category tree Gaussian process for computer experiments with many-category qualitative factors and application to cooling system design	5
Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator	5
Sequential Latin hypercube design for two-layer computer simulators	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,	4

A nonlinear mixed-effects functional regression model based on variable selection	4
Bias in the Kaplan–Meier estimator for small samples	4
Augmenting definitive screening designs: Going outside the box	4
Reliability: Probabilistic models and statistical methods	4
Building a Platform for Data-Driven Pandemic Prediction from Data Modeling to Visualization – The CovidLP Project	4
Nonparametric online monitoring of dynamic networks	4
Next Editor of the Journal of Quality Technology : Dr. Rong Pan	3
Phase I control chart for individual autocorrelated data: application to prescription opioid monitoring	3
Analysis of data from orthogonal minimally aliased response surface designs	3
Efficient analysis of split-plot experimental designs using model averaging	3
Use of the bias-corrected parametric bootstrap in sensitivity testing/analysis to construct confidence bounds with accurate levels of coverage	3
Statistical Design and Analysis of Biological Experiments	3
Optimization of Pharmaceutical Processes	3
Bayesian sequential design for sensitivity experiments with hybrid responses	3
A general framework for monitoring mixed data	2
A continual learning framework for adaptive defect classification and inspection	2
Multilevel model versus recurrent neural network: A case study to predict student success or failure revisited	2
Optimal constrained design of control charts using stochastic approximations	2
Design strategies and approximation methods for high-performance computing variability management	2
Spatio-temporal process monitoring using exponentially weighted spatial LASSO	2
Practical implementation of an End-to-end methodology for SPC of 3-D part geometry: A case study	2
A note on a useful yet overlooked algorithm for total system Bayesian reliability estimation	2
In-profile monitoring for cluster-correlated data in advanced manufacturing system	2
Quality prediction using functional linear regression with in-situ image and functional sensor data	2
A risk-adjusted, exponentially weighted moving average (EWMA) chart based on ordinal information for multiple surgical outcome monitoring	2
Bayesian Modeling and Computation in Python	2
Best practices for multi- and mixed-level supersaturated designs	2
Real-time monitoring of functional data	2
A non-linear mixed model approach for detecting outlying profiles	2
Two-stage design for failure probability estimation with Gaussian process surrogates	2
Automated analysis of experiments using hierarchical garrote	2
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	1
A task-incremental semi-supervised meta learning method for few-shot RUL prediction	1
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	1
Directional fault classification for correlated High-Dimensional data streams using hidden Markov models	1
Monitoring and diagnostics of correlated quality variables of different types	1
Scalable level-wise screening experiments using locating arrays	1
Adaptive-region sequential design with quantitative and qualitative factors in application to HPC configuration	1
Measuring sampling plan utility in post-marketing surveillance of medical products	1
Interaction effects in pairwise ordering model	1
Federated generalized scalar-on-tensor regression	1
cpss: an R package for change-point detection by sample-splitting methods	1
Construction of orthogonal maximin distance designs	1
Group-wise monitoring of multivariate data with missing values	1
Learning Basse R, 2nd edition, Lawrence M. Leemis, 2022, Lightning Source, 368 pp., $40, ISBN: 978-0-9829174-5-9	1
On modeling of multiplicative bias factor for multivariate degradation data	1
Bayesian sequential I-optimal designs for split-plot experiments under model uncertainty	1
Batch sequential designs in Bayesian preference elicitation with application to tradespace exploration for vehicle concept design	1