| The effect of hydrothermal conditions on the mesoporous structure of TiO 2 nanotubes DV Bavykin, VN Parmon, AA Lapkin, FC Walsh Journal of Materials Chemistry 14 (22), 3370-3377, 2004 | 940 | 2004 |
| Heat transfer and flow behaviour of aqueous suspensions of titanate nanotubes (nanofluids) H Chen, W Yang, Y He, Y Ding, L Zhang, C Tan, AA Lapkin, DV Bavykin Powder technology 183 (1), 63-72, 2008 | 358 | 2008 |
| Machine learning meets continuous flow chemistry: Automated optimization towards the Pareto front of multiple objectives AM Schweidtmann, AD Clayton, N Holmes, E Bradford, RA Bourne, ... Chemical Engineering Journal 352, 277-282, 2018 | 323 | 2018 |
| Reversible Storage of Molecular Hydrogen by Sorption into Multilayered TiO2 Nanotubes DV Bavykin, AA Lapkin, PK Plucinski, JM Friedrich, FC Walsh The Journal of Physical Chemistry B 109 (41), 19422-19427, 2005 | 287 | 2005 |
| Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm E Bradford, AM Schweidtmann, A Lapkin Journal of global optimization 71 (2), 407-438, 2018 | 273 | 2018 |
| Comparative assessment of technologies for extraction of artemisinin AA Lapkin, PK Plucinski, M Cutler Journal of natural products 69 (11), 1653-1664, 2006 | 223 | 2006 |
| Green chemistry metrics: measuring and monitoring sustainable processes A Lapkin, D Constable Wiley, 2008 | 211 | 2008 |
| Stability of aqueous suspensions of titanate nanotubes DV Bavykin, JM Friedrich, AA Lapkin, FC Walsh Chemistry of materials 18 (5), 1124-1129, 2006 | 199 | 2006 |
| A review of molecular representation in the age of machine learning DS Wigh, JM Goodman, AA Lapkin Wiley Interdisciplinary Reviews: Computational Molecular Science 12 (5), e1603, 2022 | 193 | 2022 |
| Forced convective heat transfer of nanofluids Y Ding, H Chen, Y He, A Lapkin, M Yeganeh, L Šiller, YV Butenko Advanced Powder Technology 18 (6), 813-824, 2007 | 186 | 2007 |
| Chemical storage of renewable energy JW Ager, AA Lapkin Science 360 (6390), 707-708, 2018 | 183 | 2018 |
| Rheological behaviour of ethylene glycol-titanate nanotube nanofluids H Chen, Y Ding, A Lapkin, X Fan Journal of nanoparticle research 11, 1513-1520, 2009 | 180 | 2009 |
| Rheological behaviour of nanofluids containing tube/rod-like nanoparticles H Chen, Y Ding, A Lapkin Powder Technology 194 (1-2), 132-141, 2009 | 171 | 2009 |
| Apparent Two-Dimensional Behavior of TiO2 Nanotubes Revealed by Light Absorption and Luminescence DV Bavykin, SN Gordeev, AV Moskalenko, AA Lapkin, FC Walsh The Journal of physical chemistry B 109 (18), 8565-8569, 2005 | 171 | 2005 |
| Deposition of Pt, Pd, Ru and Au on the surfaces of titanate nanotubes DV Bavykin, AA Lapkin, PK Plucinski, L Torrente-Murciano, JM Friedrich, ... Topics in Catalysis 39, 151-160, 2006 | 169 | 2006 |
| TiO2 nanotube-supported ruthenium (III) hydrated oxide: A highly active catalyst for selective oxidation of alcohols by oxygen DV Bavykin, AA Lapkin, PK Plucinski, JM Friedrich, FC Walsh Journal of Catalysis 235 (1), 10-17, 2005 | 156 | 2005 |
| A brief introduction to chemical reaction optimization CJ Taylor, A Pomberger, KC Felton, R Grainger, M Barecka, ... Chemical Reviews 123 (6), 3089-3126, 2023 | 151 | 2023 |
| Automatic discovery and optimization of chemical processes C Houben, AA Lapkin Current opinion in chemical engineering 9, 1-7, 2015 | 134 | 2015 |
| Automated self-optimisation of multi-step reaction and separation processes using machine learning AD Clayton, AM Schweidtmann, G Clemens, JA Manson, CJ Taylor, ... Chemical Engineering Journal 384, 123340, 2020 | 131 | 2020 |
| Machine learning and molecular descriptors enable rational solvent selection in asymmetric catalysis Y Amar, AM Schweidtmann, P Deutsch, L Cao, A Lapkin Chemical science 10 (27), 6697-6706, 2019 | 121 | 2019 |
