| Ferrocene derivatives thermostability prediction using neural networks and genetic algorithms G Lisa, DA Wilson, S Curteanu, C Lisa, CG Piuleac, V Bulacovschi Thermochimica acta 521 (1-2), 26-36, 2011 | 30 | 2011 |
| Predictions of ocular changes caused by diabetes in glaucoma patients NA Apreutesei, F Tircoveanu, A Cantemir, C Bogdanici, C Lisa, ... Computer methods and programs in biomedicine 154, 183-190, 2018 | 24 | 2018 |
| Machine learning methods used to predict the liquid-crystalline behavior of some copolyethers F Leon, S Curteanu, C Lisa, N Hurduc Molecular Crystals and Liquid Crystals 469 (1), 1-22, 2007 | 20 | 2007 |
| Assessing changes in diabetic retinopathy caused by diabetes mellitus and glaucoma using support vector machines in combination with differential evolution algorithm N Anton, EN Dragoi, F Tarcoveanu, RE Ciuntu, C Lisa, S Curteanu, ... Applied Sciences 11 (9), 3944, 2021 | 15 | 2021 |
| The density, the refractive index and the adjustment of the excess thermodynamic properties by means of the multiple linear regression method for the ternary system … C Lisa, M Ungureanu, PC Cosmaţchi, G Bolat Thermochimica acta 617, 76-82, 2015 | 15 | 2015 |
| A neuro-evolutive technique applied for predicting the liquid crystalline property of some organic compounds EN Drăgoi, S Curteanu, C Lisa Engineering Optimization 44 (10), 1261-1277, 2012 | 15 | 2012 |
| Prediction of the liquid-crystalline property using different classification methods F Leon, C Lisa, S Curteanu Molecular Crystals and Liquid Crystals 518 (1), 129-148, 2010 | 15 | 2010 |
| Prediction of liquid‐crystalline property using support vector machine classification C Butnariu, C Lisa, F Leon, S Curteanu Journal of Chemometrics 27 (7-8), 179-188, 2013 | 14 | 2013 |
| Neural network based predictions for the liquid crystal properties of organic compounds C Lisa, S Curteanu Computer aided chemical engineering 24, 39-44, 2007 | 14 | 2007 |
| Mass transfer at solid dissolution S Petrescu, J Petrescu, C Lisa Chemical engineering journal 66 (1), 57-63, 1997 | 14 | 1997 |
| Artificial intelligence methods applied to prediction of the liquid crystalline behavior of some ferrocene derivatives C LISA, S Curteanu, V Bulacovschi, D Apreutesei Revue Roumaine de Chimie 53 (4), 283-290, 2008 | 11 | 2008 |
| Prediction of excess thermodynamic properties from experimental refractive index of binary mixtures-1. Water-Propionic acid mixtures at 290.15, 300.15 and 310.15 K G Lisa, C Lisa Revue Roumaine de Chimie 52 (7), 647-653, 2007 | 11 | 2007 |
| Obtaining Bricks Using Silicon-Based Materials: Experiments, Modeling and Optimization with Artificial Intelligence Tools C Anton, F Leon, M Gavrilescu, EN Drăgoi, SA Floria, S Curteanu, C Lisa Mathematics 10 (11), 1891, 2022 | 7 | 2022 |
| Algorithms for using some models of gel and glass effects in free-radical polymerization of methyl methacrylate S Curteanu, V Bulacovschi, C Lisa Polymer-Plastics Technology and Engineering 38 (5), 1121-1136, 1999 | 7 | 1999 |
| Machine learning methods applied for modeling the process of obtaining bricks using silicon-based materials C Anton, S Curteanu, C Lisa, F Leon Materials 14 (23), 7232, 2021 | 6 | 2021 |
| Experimental densities and dynamic viscosities of binary mixtures 1. Iso-propanol–toluene mixtures at 292.15, 299.15, 305.15, 311.15 and 317.15 K G Lisa, C Lisa, D Apreutesei, L Barabulica, D Galea Revue Roumaine de Chimie 49 (11), 911-915, 2004 | 6 | 2004 |
| Use of artificial neural networks to predict the progression of glaucoma in patients with sleep apnea N Anton, C Lisa, B Doroftei, S Curteanu, CM Bogdanici, D Chiselita, ... Applied Sciences 12 (12), 6061, 2022 | 5 | 2022 |
| ARTIFICIAL NEURAL NETWORK FOR PREDICTION OF EXCESS REFRACTIVE INDICES OF SOME BINARY MIXTURES. G Lisa, S Curteanu, C Lisa Environmental Engineering & Management Journal (EEMJ) 9 (4), 2010 | 5 | 2010 |
| Prediction of Excess Thermodynamic Properties from Experimental Refractive Index of Binary Mixtures 2. Artificial Neural Network Modelling G Lisa, S Curteanu, C LISA Revue Roumaine de Chimie 53 (9), 859-867, 2008 | 5 | 2008 |
| Multiple linear regression (mlr) models used to predict the thermal stability of some polyimides C Lisa, C Hamciuc, E Hamciuc, G Lisa Environmental Engineering and Management Journal 17 (4), 821-826, 2018 | 3 | 2018 |
