| Assessment of recent process analytical technology (PAT) trends: a multiauthor review LL Simon, H Pataki, G Marosi, F Meemken, K Hungerbühler, A Baiker, ... Organic Process Research & Development 19 (1), 3-62, 2015 | 442 | 2015 |
| Non-parametric confidence bounds for process performance monitoring charts EB Martin, AJ Morris Journal of process control 6 (6), 349-358, 1996 | 422 | 1996 |
| Artificial neural networks in process engineering MJ Willis, C Di Massimo, GA Montague, MT Tham, AJ Morris IEE proceedings D (control theory and applications) 138 (3), 256-266, 1991 | 357 | 1991 |
| Artificial neural networks in process estimation and control MJ Willis, GA Montague, C Di Massimo, MT Tham, AJ Morris Automatica 28 (6), 1181-1187, 1992 | 345 | 1992 |
| Recurrent neuro-fuzzy networks for nonlinear process modeling AJM Jie Zhang IEEE Transactions on Neural Networks 10 (2), 313-326, 1999 | 338 | 1999 |
| Model selection for partial least squares regression B Li, J Morris, EB Martin Chemometrics and intelligent laboratory systems 64 (1), 79-89, 2002 | 331 | 2002 |
| Non-linear projection to latent structures revisited: the quadratic PLS algorithm G Baffi, EB Martin, AJ Morris Computers & Chemical Engineering 23 (3), 395-411, 1999 | 249 | 1999 |
| Hazard Analysis J Love Process Automation Handbook: A Guide to Theory and Practice, 407-423, 2007 | 243 | 2007 |
| Soft-sensors for process estimation and inferential control MT Tham, GA Montague, AJ Morris, PA Lant Journal of Process Control 1 (1), 3-14, 1991 | 234 | 1991 |
| Neural-network contributions in biotechnology G Montague, J Morris Trends in Biotechnology 12 (8), 312-324, 1994 | 233 | 1994 |
| Particle filters for state and parameter estimation in batch processes T Chen, J Morris, E Martin Journal of Process Control 15 (6), 665-673, 2005 | 219 | 2005 |
| Gaussian process regression for multivariate spectroscopic calibration T Chen, J Morris, E Martin Chemometrics and Intelligent Laboratory Systems 87 (1), 59-71, 2007 | 217 | 2007 |
| Non-linear projection to latent structures revisited (the neural network PLS algorithm) G Baffi, EB Martin, AJ Morris Computers & Chemical Engineering 23 (9), 1293-1307, 1999 | 202 | 1999 |
| Process performance monitoring using multivariate statistical process control EB Martin, AJ Morris, J Zhang IEE Proceedings-Control Theory and Applications 143 (2), 132-144, 1996 | 190 | 1996 |
| Adaptive multivariate statistical process control for monitoring time-varying processes SW Choi, EB Martin, AJ Morris, IB Lee Industrial & engineering chemistry research 45 (9), 3108-3118, 2006 | 175 | 2006 |
| Inferential estimation of polymer quality using stacked neural networks J Zhang, EB Martin, AJ Morris, C Kiparissides Computers & Chemical Engineering 21, S1025-S1030, 1997 | 170 | 1997 |
| A procedure for determining the topology of multilayer feedforward neural networks Z Wang, C Di Massimo, MT Tham, AJ Morris Neural Networks 7 (2), 291-300, 1994 | 168 | 1994 |
| Artificial Neural Networks-Studies in-Process Modeling and Control AJ Morris, GA Montague, MJ Willis Chemical engineering research & design 72 (1), 3-19, 1994 | 166 | 1994 |
| Modeling and optimal control of a batch polymerization reactor using a hybrid stacked recurrent neural network model Y Tian, J Zhang, J Morris Industrial & engineering chemistry research 40 (21), 4525-4535, 2001 | 158 | 2001 |
| Statistical performance monitoring of dynamic multivariate processes using state space modelling A Simoglou, EB Martin, AJ Morris Computers & chemical engineering 26 (6), 909-920, 2002 | 156 | 2002 |
