| 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 | 358 | 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 | 346 | 1992 |
| 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 | 236 | 1991 |
| Neural-network contributions in biotechnology G Montague, J Morris Trends in biotechnology 12 (8), 312-324, 1994 | 233 | 1994 |
| Process monitoring of an industrial fed‐batch fermentation B Lennox, GA Montague, HG Hiden, G Kornfeld, PR Goulding Biotechnology and bioengineering 74 (2), 125-135, 2001 | 222 | 2001 |
| Artificial neural networks: studies in process modelling and control: Process operation and control AJ Morris, GA Montague, MJ Willis Chemical engineering research & design 72 (1), 3-19, 1994 | 165 | 1994 |
| Industrial application of neural networks—an investigation B Lennox, GA Montague, AM Frith, C Gent, V Bevan Journal of Process Control 11 (5), 497-507, 2001 | 153 | 2001 |
| Towards improved penicillin fermentation via artificial neural networks C Di Massimo, GA Montague, MJ Willis, MT Tham, AJ Morris Computers & chemical engineering 16 (4), 283-291, 1992 | 151 | 1992 |
| Robust probabilistic PCA with missing data and contribution analysis for outlier detection T Chen, E Martin, G Montague Computational Statistics & Data Analysis 53 (10), 3706-3716, 2009 | 149 | 2009 |
| Genetic programming: An introduction and survey of applications MJ Willis, HG Hiden, P Marenbach, B McKay, GA Montague Second international conference on genetic algorithms in engineering systems …, 1997 | 129 | 1997 |
| Non-linear principal components analysis using genetic programming HG Hiden, MJ Willis, MT Tham, GA Montague Computers & chemical engineering 23 (3), 413-425, 1999 | 117 | 1999 |
| Co‐evolution of non‐linear PLS model components D Searson, M Willis, G Montague Journal of Chemometrics: A Journal of the Chemometrics Society 21 (12), 592-603, 2007 | 116 | 2007 |
| The development of an industrial-scale fed-batch fermentation simulation S Goldrick, A Ştefan, D Lovett, G Montague, B Lennox Journal of biotechnology 193, 70-82, 2015 | 114 | 2015 |
| Artificial neural network based experimental design procedure for enhancing fermentation development J Glassey, GA Montague, AC Ward, BV Kara Biotechnology and bioengineering 44 (4), 397-405, 1994 | 92 | 1994 |
| Enhancing bioprocess operability with generic software sensors GA Montague, AJ Morris, MT Tham Journal of Biotechnology 25 (1-2), 183-201, 1992 | 89 | 1992 |
| Application of multivariate statistical process control to batch operations B Lennox, HG Hiden, GA Montague, G Kornfeld, PR Goulding Computers & Chemical Engineering 24 (2-7), 291-296, 2000 | 81 | 2000 |
| On data-based modelling techniques for fermentation processes MR Warnes, J Glassey, GA Montague, B Kara Process Biochemistry 31 (2), 147-155, 1996 | 81 | 1996 |
| Bioprocess supervision: neural networks and knowledge based systems J Glassey, M Ignova, AC Ward, GA Montague, AJ Morris Journal of Biotechnology 52 (3), 201-205, 1997 | 68 | 1997 |
| Comparison of cleaning of toothpaste from surfaces and pilot scale pipework PA Cole, K Asteriadou, PT Robbins, EG Owen, GA Montague, PJ Fryer Food and bioproducts processing 88 (4), 392-400, 2010 | 65 | 2010 |
| Enhanced supervision of recombinant E. coli fermentation via artificial neural networks J Glassey, GA Montague, AC Ward, BV Kara Process Biochemistry 29 (5), 387-398, 1994 | 65 | 1994 |
