| A quantitative structure activity relationship for acute oral toxicity of pesticides on rats: validation, domain of application and prediction M Hamadache, O Benkortbi, S Hanini, A Amrane, L Khaouane, ... Journal of hazardous materials 303, 28-40, 2016 | 102 | 2016 |
| Prediciton of high-pressure vapor liquid equilibrium of six binary systems, carbon dioxide with six esters, using an artificial neural network model C Si-Moussa, S Hanini, R Derriche, M Bouhedda, A Bouzidi Brazilian Journal of Chemical Engineering 25, 183-199, 2008 | 68 | 2008 |
| Dragonfly-support vector machine for regression modeling of the activity coefficient at infinite dilution of solutes in imidazolium ionic liquids using σ-profile descriptors H Benimam, C Si-Moussa, M Hentabli, S Hanini, M Laidi Journal of Chemical & Engineering Data 65 (6), 3161-3172, 2020 | 46 | 2020 |
| Artificial neural network-based equation to predict the toxicity of herbicides on rats M Hamadache, S Hanini, O Benkortbi, A Amrane, L Khaouane, ... Chemometrics and Intelligent Laboratory Systems 154, 7-15, 2016 | 43 | 2016 |
| Novel density-based model for the correlation of solid drugs solubility in supercritical carbon dioxide C Si-Moussa, A Belghait, L Khaouane, S Hanini, A Halilali Comptes Rendus Chimie 20 (5), 559-572, 2017 | 38 | 2017 |
| Modeling the activity coefficient at infinite dilution of water in ionic liquids using artificial neural networks and support vector machines H Benimam, C Si-Moussa, M Laidi, S Hanini Neural Computing and Applications, 1-19, 2019 | 35 | 2019 |
| Novel approach for estimating solubility of solid drugs in supercritical carbon dioxide and critical properties using direct and inverse artificial neural network (ANN) M A. Abdallah el hadj, Laidi, C Si-Moussa, S Hanini Neural Computing and Applications, 1-13, 2015 | 30* | 2015 |
| Semi-empirical correlation of solid solute solubility in supercritical carbon dioxide: Comparative study and proposition of a novel density-based model A Belghait, C Si-Moussa, M Laidi, S Hanini Comptes Rendus. Chimie 21 (5), 494-513, 2018 | 22 | 2018 |
| Optimization of culture conditions for the production of pleuromutilin from pleurotus mutilus using a hybrid method based on central composite design, neural network, and … L Khaouane, C Si-Moussa, S Hanini, O Benkortbi Biotechnology and bioprocess engineering 17 (5), 1048-1054, 2012 | 22 | 2012 |
| Kinetic modeling and parameters identification based on metaheuristic optimization techniques for extraction process of marrubium vulgare l. essential oil S Rezazi, S Hanini, SI-MOUSSA C, S Abdelmalek JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY (JAST) 19 (2), 307-322, 2017 | 19 | 2017 |
| Modeling and Optimization of the Operating Conditions of Marrubium vulgare L. Essential Oil Extraction Process: Kinetic Parameters Estimation through Genetic … S Rezazi, S Hanini, C Si-Moussa, S Abdelmalek Journal of Essential Oil Bearing Plants 19 (4), 843-853, 2016 | 19 | 2016 |
| Prediction of acute herbicide toxicity in rats from quantitative structure–activity relationship modeling M Hamadache, L Khaouane, O Benkortbi, C Si Moussa, S Hanini, ... Environmental Engineering Science 31 (5), 243-252, 2014 | 18 | 2014 |
| Application of PC-SAFT and cubic equations of state for the correlation of solubility of some pharmaceutical and statin drugs in SC-CO2 HAA El, MC Si, S Hanini, M Laidi Chemical Industry and Chemical Engineering Quarterly/CICEQ 19 (3), 449-460, 2013 | 16 | 2013 |
| Modeling of an industrial process of pleuromutilin fermentation using feed-forward neural networks L Khaouane, O Benkortbi, S Hanini, C Si-Moussa Brazilian Journal of Chemical Engineering 30, 105-116, 2013 | 16 | 2013 |
| Artificial Neural Network Models for Prediction of Density and Kinematic Viscosity of Different Systems of Biofuels and Their Blends with Diesel Fuel. Comparative Analysis. S Belmadani, S Hanini, M Laidi, C Si-Moussa, M Hamadache Kemija u Industriji 69, 2020 | 14 | 2020 |
| Environmental toxicity of pesticides, and its modeling by QSAR approaches M Hamadache, A Amrane, O Benkortbi, S Hanini, L Khaouane, ... Advances in QSAR Modeling: Applications in Pharmaceutical, Chemical, Food …, 2017 | 10 | 2017 |
| CMC of diverse Gemini surfactants modelling using a hybrid approach combining SVR-DA M Laidi, HA Abdallah, C Si-Moussa, O Benkortebi, M Hentabli, S Hanini Chemical Industry and Chemical Engineering Quarterly 27 (3), 299-312, 2021 | 9 | 2021 |
| QSPR Modelling of The Solubility of Drug and Drug-Like Compounds in Supercritical Carbon Dioxide I EULDJI, C SI-MOUSSA, M HAMADACHE, O BENKORTBI Molecular Informatics, 2022 | 8 | 2022 |
| Primena PC-SAFT i kubne jednačine stanja za koerelisanje rastvorljivosti nekih farmaceutskih i statinskih aktivnih supstanci u supekritičnom CO2 AA El Hadj, C Si-Moussa, S Hanini, M Laidi Chem Ind Chem Eng Q 19 (3), 449-60, 2013 | 6 | 2013 |
| Modélisation des équilibres de phases à pressions élevées par les réseaux de neurones artificiels C Si Moussa Ecole Nationale Polytechnique, 2010 | 6 | 2010 |
Salah HANINIProfessor of Chemical Engineering, LBMPT- University of MedeaVerified email at univ-medea.dz
