| GPTIPS: an open source genetic programming toolbox for multigene symbolic regression DP Searson, DE Leahy, MJ Willis Proceedings of the International multiconference of engineers and computer …, 2010 | 514 | 2010 |
| 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 |
| Steady-state modelling of chemical process systems using genetic programming B McKay, M Willis, G Barton Computers & chemical engineering 21 (9), 981-996, 1997 | 197 | 1997 |
| 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 | 166 | 1994 |
| 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 |
| Proportional-integral-derivative control MJ Willis Dept. of Chemical and Process Engineering University of Newcastle 6, 1999 | 145 | 1999 |
| Modelling chemical process systems using a multi-gene genetic programming algorithm M Hinchliffe, MJ Willis, H Hiden, MT Tham, B McKay, GW Barton Genetic Programming: Proceedings of the First Annual Conference (late …, 1996 | 137 | 1996 |
| 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 | 127 | 1997 |
| Using a tree structured genetic algorithm to perform symbolic regression B McKay, MJ Willis, GW Barton First international conference on genetic algorithms in engineering systems …, 1995 | 121 | 1995 |
| 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 | 115 | 2007 |
| Systems modelling using genetic programming M Willis, H Hiden, M Hinchliffe, B McKay, GW Barton Computers & chemical engineering 21, S1161-S1166, 1997 | 77 | 1997 |
| Advanced process control MJ Willis, MT Tham Department of Chemical and Process Engineering, University of Newcastle Upon …, 1994 | 72 | 1994 |
| Dynamic systems modelling using genetic programming MP Hinchliffe, MJ Willis Computers & Chemical Engineering 27 (12), 1841-1854, 2003 | 64 | 2003 |
| Bioprocess model building using artificial neural networks C Di Massimo, MJ Willis, GA Montague, MT Tham, AJ Morris Bioprocess Engineering 7, 77-82, 1991 | 60 | 1991 |
| Rapid, automated determination of reaction models and kinetic parameters CJ Taylor, M Booth, JA Manson, MJ Willis, G Clemens, BA Taylor, ... Chemical Engineering Journal 413, 127017, 2021 | 59 | 2021 |
| Hybrid approach to modeling an industrial polyethylene process M Hinchliffe, G Montague, M Willis, A Burke AIChE journal 49 (12), 3127-3137, 2003 | 47 | 2003 |
| Intensified design of experiments for upstream bioreactors M von Stosch, MJ Willis Engineering in Life Sciences 17 (11), 1173-1184, 2017 | 46 | 2017 |
| Achieving pH and Qr oscillations in a palladium-catalysed phenylacetylene oxidative carbonylation reaction using an automated reactor system K Novakovic, C Grosjean, SK Scott, A Whiting, MJ Willis, AR Wright Chemical physics letters 435 (1-3), 142-147, 2007 | 46 | 2007 |
Gary MontagueTeesside UniversityVerified email at tees.ac.uk
