| Predicting PM2.5 Concentrations Using Artificial Neural Networks and Markov Chain, a Case Study Karaj City G Asadollahfardi, H Zangooei, SH Aria Asian Journal of Atmospheric Environment 10 (2), 67-79, 2016 | 33 | 2016 |
| Application of artificial neural networks to predict total dissolved solids in the river Zayanderud, Iran A Gholamreza, MD Afshin, HA Shiva, R Nasrin Environmental Engineering Research 21 (4), 333-340, 2016 | 17 | 2016 |
| Predicting Particulate Matter (PM2.5) Concentrations in the Air of Shahr‐e Ray City, Iran, by Using an Artificial Neural Network G Asadollahfardi, M Madinejad, SH Aria, V Motamadi Environmental Quality Management 25 (4), 71-83, 2016 | 10 | 2016 |
| Eutrophication modelling of Amirkabir Reservoir (Iran) using an artificial neural network approach S Homayoun Aria, G Asadollahfardi, N Heidarzadeh Lakes & Reservoirs: Research & Management 24 (1), 48-58, 2019 | 8 | 2019 |
| Application of artificial neural networks to predict total dissolved solids at the Karaj Dam G Asadollahfardi, H Zangooei, SH Aria, E Danesh Environmental Quality Management 26 (3), 55-72, 2017 | 8 | 2017 |
| Deactivation of Escherichia coli with different volumes in drinking water using cold atmospheric plasma G Asadollahfardi, M Khandan, SH Aria Contributions to Plasma Physics 60 (4), e201800106, 2020 | 3 | 2020 |
| Modelling of dissolved oxygen (DO) in a reservoir using artificial neural networks: Amir Kabir Reservoir, Iran G Asadollahfardi, SH Ariaa, M Abaeia Advances in environmental research 5 (3), 153-167, 2016 | 2 | 2016 |
| The prediction of atmospheric concentrations of toluene using artificial neural network methods in Tehran G Asadollahfardi, SH Aria, M Mehdinejad Adv. Environ. Res 4, 219-231, 2015 | 1 | 2015 |
