| Reinforcement learning for batch bioprocess optimization P Petsagkourakis, IO Sandoval, E Bradford, D Zhang, ... Computers & Chemical Engineering 133, 106649, 2020 | 188 | 2020 |
| Machine learning for biochemical engineering: A review M Mowbray, T Savage, C Wu, Z Song, BA Cho, EA Del Rio-Chanona, ... Biochemical Engineering Journal 172, 108054, 2021 | 162 | 2021 |
| A geometric deep learning approach to predict binding conformations of bioactive molecules O Méndez-Lucio, M Ahmad, EA del Rio-Chanona, JK Wegner Nature Machine Intelligence 3 (12), 1033-1039, 2021 | 153 | 2021 |
| Hybrid physics‐based and data‐driven modeling for bioprocess online simulation and optimization D Zhang, EA Del Rio‐Chanona, P Petsagkourakis, J Wagner Biotechnology and bioengineering 116 (11), 2919-2930, 2019 | 129 | 2019 |
| Stochastic data-driven model predictive control using gaussian processes E Bradford, L Imsland, D Zhang, EA del Rio Chanona Computers & Chemical Engineering 139, 106844, 2020 | 117 | 2020 |
| Deep learning‐based surrogate modeling and optimization for microalgal biofuel production and photobioreactor design EA del Rio‐Chanona, JL Wagner, H Ali, F Fiorelli, D Zhang, K Hellgardt AIChE Journal 65 (3), 915-923, 2019 | 113 | 2019 |
| Dynamic modeling and optimization of sustainable algal production with uncertainty using multivariate Gaussian processes E Bradford, AM Schweidtmann, D Zhang, K Jing, EA del Rio-Chanona Computers & Chemical Engineering 118, 143-158, 2018 | 76 | 2018 |
| Dynamic modelling of Haematococcus pluvialis photoinduction for astaxanthin production in both attached and suspended photobioreactors D Zhang, M Wan, EA del Rio-Chanona, J Huang, W Wang, Y Li, ... Algal Research 13, 69-78, 2016 | 71 | 2016 |
| Modelling of light and temperature influences on cyanobacterial growth and biohydrogen production D Zhang, P Dechatiwongse, EA del Rio-Chanona, GC Maitland, ... Algal Research 9, 263-274, 2015 | 70 | 2015 |
| Industrial data science–a review of machine learning applications for chemical and process industries M Mowbray, M Vallerio, C Perez-Galvan, D Zhang, ADR Chanona, ... Reaction Chemistry & Engineering 7 (7), 1471-1509, 2022 | 67 | 2022 |
| Real-time optimization meets Bayesian optimization and derivative-free optimization: A tale of modifier adaptation EA del Rio Chanona, P Petsagkourakis, E Bradford, JEA Graciano, ... Computers & Chemical Engineering 147, 107249, 2021 | 67 | 2021 |
| Bioprocess modelling of biohydrogen production by Rhodopseudomonas palustris: Model development and effects of operating conditions on hydrogen yield and glycerol conversion … D Zhang, N Xiao, KT Mahbubani, EA del Rio-Chanona, NKH Slater, ... Chemical Engineering Science 130, 68-78, 2015 | 66 | 2015 |
| Review of advanced physical and data‐driven models for dynamic bioprocess simulation: Case study of algae–bacteria consortium wastewater treatment EA Del Rio‐Chanona, X Cong, E Bradford, D Zhang, K Jing Biotechnology and bioengineering 116 (2), 342-353, 2019 | 57 | 2019 |
| Chance constrained policy optimization for process control and optimization P Petsagkourakis, IO Sandoval, E Bradford, F Galvanin, D Zhang, ... Journal of Process Control 111, 35-45, 2022 | 55* | 2022 |
| Kinetic modeling and process analysis for Desmodesmus sp. lutein photo‐production EA del Rio‐Chanona, N Ahmed, D Zhang, Y Lu, K Jing AIChE Journal 63 (7), 2546-2554, 2017 | 52 | 2017 |
| Model-based real-time optimisation of a fed-batch cyanobacterial hydrogen production process using economic model predictive control strategy EA del Rio-Chanona, D Zhang, VS Vassiliadis Chemical engineering science 142, 289-298, 2016 | 52 | 2016 |
| Data-driven optimization for process systems engineering applications D Van De Berg, T Savage, P Petsagkourakis, D Zhang, N Shah, ... Chemical Engineering Science 248, 117135, 2022 | 50 | 2022 |
| Overproduction of L‐tryptophan via simultaneous feed of glucose and anthranilic acid from recombinant Escherichia coli W3110: Kinetic modeling and process … K Jing, Y Tang, C Yao, EA del Rio‐Chanona, X Ling, D Zhang Biotechnology and bioengineering 115 (2), 371-381, 2018 | 50 | 2018 |
| Dynamic modeling and optimization of cyanobacterial C-phycocyanin production process by artificial neural network EA del Rio-Chanona, E Manirafasha, D Zhang, Q Yue, K Jing Algal Research 13, 7-15, 2016 | 48 | 2016 |
| Constrained model-free reinforcement learning for process optimization E Pan, P Petsagkourakis, M Mowbray, D Zhang, EA del Rio-Chanona Computers & Chemical Engineering 154, 107462, 2021 | 47 | 2021 |
Dongda ZhangUniversity Lecturer, School of Chemical Engineering and Analytical Science, University of ManchesterVerified email at manchester.ac.uk
