| Object-oriented modeling and simulation of flexible manufacturing systems: a rule-based procedure A Anglani, A Grieco, M Pacella, T Tolio Simulation Modelling Practice and Theory 10 (3-4), 209-234, 2002 | 191 | 2002 |
| Statistical process control for geometric specifications: on the monitoring of roundness profiles BM Colosimo, Q Semeraro, M Pacella Journal of quality technology 40 (1), 1-18, 2008 | 145 | 2008 |
| On the use of principal component analysis to identify systematic patterns in roundness profiles BM Colosimo, M Pacella Quality and reliability engineering international 23 (6), 707-725, 2007 | 112 | 2007 |
| Point set augmentation through fitting for enhanced ICP registration of point clouds in multisensor coordinate metrology N Senin, BM Colosimo, M Pacella Robotics and Computer-Integrated Manufacturing 29 (1), 39-52, 2013 | 94 | 2013 |
| Monitoring and diagnosis of multichannel nonlinear profile variations using uncorrelated multilinear principal component analysis K Paynabar, J Jin, M Pacella Iie transactions 45 (11), 1235-1247, 2013 | 86 | 2013 |
| Using recurrent neural networks to detect changes in autocorrelated processes for quality monitoring M Pacella, Q Semeraro Computers & Industrial Engineering 52 (4), 502-520, 2007 | 86 | 2007 |
| Multisensor data fusion via Gaussian process models for dimensional and geometric verification BM Colosimo, M Pacella, N Senin Precision Engineering 40, 199-213, 2015 | 82 | 2015 |
| A comparison study of control charts for statistical monitoring of functional data BM Colosimo, M Pacella International Journal of Production Research 48 (6), 1575-1601, 2010 | 79 | 2010 |
| From profile to surface monitoring: SPC for cylindrical surfaces via Gaussian processes BM Colosimo, P Cicorella, M Pacella, M Blaco Journal of Quality Technology 46 (2), 95-113, 2014 | 77 | 2014 |
| Manufacturing quality control by means of a Fuzzy ART network trained on natural process data M Pacella, Q Semeraro, A Anglani Engineering Applications of Artificial Intelligence 17 (1), 83-96, 2004 | 76 | 2004 |
| Profile monitoring via sensor fusion: the use of PCA methods for multi-channel data M Grasso, BM Colosimo, M Pacella International Journal of Production Research 52 (20), 6110-6135, 2014 | 61 | 2014 |
| Adaptive resonance theory-based neural algorithms for manufacturing process quality control M Pacella*, Q Semeraro, A Anglani International Journal of Production Research 42 (21), 4581-4607, 2004 | 59 | 2004 |
| Structured point cloud data analysis via regularized tensor regression for process modeling and optimization H Yan, K Paynabar, M Pacella Technometrics, 2019 | 50 | 2019 |
| Evaluation of deep learning with long short-term memory networks for time series forecasting in supply chain management M Pacella, G Papadia Procedia CIRP 99, 604-609, 2021 | 46 | 2021 |
| Monitoring roundness profiles based on an unsupervised neural network algorithm M Pacella, Q Semeraro Computers & Industrial Engineering 60 (4), 677-689, 2011 | 34 | 2011 |
| Online automatic anomaly detection for photovoltaic systems using thermography imaging and low rank matrix decomposition Q Wang, K Paynabar, M Pacella Journal of Quality Technology 54 (5), 503-516, 2022 | 33 | 2022 |
| On the use of self‐organizing map for text clustering in engineering change process analysis: A case study M Pacella, A Grieco, M Blaco Computational intelligence and neuroscience 2016 (1), 5139574, 2016 | 33 | 2016 |
| Cyber-physical systems (CPS) in supply chain management: from foundations to practical implementation F Tonelli, M Demartini, M Pacella, R Lala Procedia Cirp 99, 598-603, 2021 | 31 | 2021 |
| A comparison study of distribution‐free multivariate SPC methods for multimode data M Grasso, BM Colosimo, Q Semeraro, M Pacella Quality and Reliability Engineering International 31 (1), 75-96, 2015 | 31 | 2015 |
| Unsupervised classification of multichannel profile data using PCA: An application to an emission control system M Pacella Computers & Industrial Engineering 122, 161-169, 2018 | 26 | 2018 |
