| Forecasting municipal solid waste generation using prognostic tools and regression analysis C Ghinea, EN Drăgoi, ED Comăniţă, M Gavrilescu, T Câmpean, ... Journal of environmental management 182, 80-93, 2016 | 232 | 2016 |
| Rhizobacteria and plant symbiosis in heavy metal uptake and its implications for soil bioremediation DL Sobariu, DIT Fertu, M Diaconu, LV Pavel, RM Hlihor, EN Drăgoi, ... New biotechnology 39, 125-134, 2017 | 157 | 2017 |
| Artificial neural networks: applications in chemical engineering M Pirdashti, S Curteanu, MH Kamangar, MH Hassim, MA Khatami Reviews in Chemical Engineering 29 (4), 205-239, 2013 | 137 | 2013 |
| Neural networks applied in chemistry. I. Determination of the optimal topology of multilayer perceptron neural networks S Curteanu, H Cartwright Journal of Chemometrics 25 (10), 527-549, 2011 | 120 | 2011 |
| Modeling of electrolysis process in wastewater treatment using different types of neural networks S Curteanu, CG Piuleac, K Godini, G Azaryan Chemical Engineering Journal 172 (1), 267-276, 2011 | 87 | 2011 |
| Experimental analysis and mathematical prediction of Cd (II) removal by biosorption using support vector machines and genetic algorithms RM Hlihor, M Diaconu, F Leon, S Curteanu, T Tavares, M Gavrilescu New biotechnology 32 (3), 358-368, 2015 | 84 | 2015 |
| Optimization methodology based on neural networks and self-adaptive differential evolution algorithm applied to an aerobic fermentation process EN Dragoi, S Curteanu, AI Galaction, D Cascaval Applied Soft Computing 13 (1), 222-238, 2013 | 76 | 2013 |
| Covalent and ionic co‐cross‐linking—An original way to prepare chitosan–gelatin hydrogels for biomedical applications AN Jătariu, M Popa, S Curteanu, CA Peptu Journal of Biomedical Materials Research Part A 98 (3), 342-350, 2011 | 68 | 2011 |
| Ten steps modeling of electrolysis processes by using neural networks CG Piuleac, MA Rodrigo, P Cañizares, S Curteanu, C Sáez Environmental Modelling & Software 25 (1), 74-81, 2010 | 68 | 2010 |
| Multi-objective optimization of a stacked neural network using an evolutionary hyper-heuristic R Furtuna, S Curteanu, F Leon Applied Soft Computing 12 (1), 133-144, 2012 | 64 | 2012 |
| On the use of artificial neural networks to monitor a pharmaceutical freeze-drying process EN Drăgoi, S Curteanu, D Fissore Drying Technology 31 (1), 72-81, 2013 | 59 | 2013 |
| The use of differential evolution algorithm for solving chemical engineering problems EN Dragoi, S Curteanu Reviews in Chemical Engineering 32 (2), 149-180, 2016 | 50 | 2016 |
| Electro-oxidation method applied for activated sludge treatment: experiment and simulation based on supervised machine learning methods S Curteanu, K Godini, CG Piuleac, G Azarian, AR Rahmani, C Butnariu Industrial & Engineering Chemistry Research 53 (12), 4902-4912, 2014 | 49 | 2014 |
| The neural networks based modeling of a polybenzimidazole-based polymer electrolyte membrane fuel cell: effect of temperature J Lobato, P Cañizares, MA Rodrigo, JJ Linares, CG Piuleac, S Curteanu Journal of Power Sources 192 (1), 190-194, 2009 | 47 | 2009 |
| Modeling and simulation of free radical polymerization of styrene under semibatch reactor conditions S Curteanu Central European Journal of Chemistry 1 (1), 69-90, 2003 | 47 | 2003 |
| An elitist non-dominated sorting genetic algorithm enhanced with a neural network applied to the multi-objective optimization of a polysiloxane synthesis process R Furtuna, S Curteanu, F Leon Engineering applications of artificial intelligence 24 (5), 772-785, 2011 | 43 | 2011 |
| Direct and inverse neural networks modelling applied to study the influence of the gas diffusion layer properties on PBI-based PEM fuel cells J Lobato, P Cañizares, MA Rodrigo, CG Piuleac, S Curteanu, JJ Linares international journal of hydrogen energy 35 (15), 7889-7897, 2010 | 41 | 2010 |
| Hybrid neural network models applied to a free radical polymerization process S Curteanu, F Leon Polymer-Plastics Technology and Engineering 45 (9), 1013-1023, 2006 | 41 | 2006 |
| Comprehensive review on the use of artificial intelligence in ophthalmology and future research directions N Anton, B Doroftei, S Curteanu, L Catãlin, OD Ilie, F Târcoveanu, ... Diagnostics 13 (1), 100, 2022 | 38 | 2022 |
| Direct and inverse neural network modeling in free radical polymerization S Curteanu Central European Journal of Chemistry 2, 113-140, 2004 | 38 | 2004 |
