| Global strategies and potentials to curb CO2 emissions in cement industry E Benhelal, G Zahedi, E Shamsaei, A Bahadori Journal of cleaner production 51, 142-161, 2013 | 1175 | 2013 |
| A simple correlation for estimation of economic thickness of thermal insulation for process piping and equipment A Bahadori, HB Vuthaluru Applied Thermal Engineering 30 (2-3), 254-259, 2010 | 1140 | 2010 |
| Adsorptive removal of CO2 on highly microporous activated carbons prepared from Eucalyptus camaldulensis wood: effect of chemical activation A Heidari, H Younesi, A Rashidi, AA Ghoreyshi Journal of the Taiwan Institute of Chemical Engineers 45 (2), 579-588, 2014 | 386* | 2014 |
| Application of a hybrid artificial neural network-particle swarm optimization (ANN-PSO) model in behavior prediction of channel shear connectors embedded in normal and high … M Shariati, MS Mafipour, P Mehrabi, A Bahadori, Y Zandi, MNA Salih, ... Applied sciences 9 (24), 5534, 2019 | 212 | 2019 |
| Natural gas processing: technology and engineering design A Bahadori Gulf Professional Publishing, 2014 | 181 | 2014 |
| Asphaltene precipitation and deposition in oil reservoirs–Technical aspects, experimental and hybrid neural network predictive tools S Zendehboudi, A Shafiei, A Bahadori, LA James, A Elkamel, A Lohi Chemical Engineering Research and Design 92 (5), 857-875, 2014 | 172 | 2014 |
| Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures M Shariati, MS Mafipour, P Mehrabi, Y Zandi, D Dehghani, A Bahadori, ... Steel Compos. Struct 33 (3), 319-332, 2019 | 164 | 2019 |
| A review on solar energy utilisation in Australia A Bahadori, C Nwaoha Renewable and Sustainable Energy Reviews 18, 1-5, 2013 | 144 | 2013 |
| Implementing radial basis function networks for modeling CO2-reservoir oil minimum miscibility pressure A Tatar, A Shokrollahi, M Mesbah, S Rashid, M Arabloo, A Bahadori Journal of natural gas science and engineering 15, 82-92, 2013 | 140 | 2013 |
| Electricity demand estimation using an adaptive neuro-fuzzy network: a case study from the Ontario province–Canada G Zahedi, S Azizi, A Bahadori, A Elkamel, SRW Alwi Energy 49, 323-328, 2013 | 131 | 2013 |
| Determination of oil well production performance using artificial neural network (ANN) linked to the particle swarm optimization (PSO) tool MA Ahmadi, R Soleimani, M Lee, T Kashiwao, A Bahadori Petroleum 1 (2), 118-132, 2015 | 130 | 2015 |
| Estimation of combustion flue gas acid dew point during heat recovery and efficiency gain A Bahadori Applied Thermal Engineering 31 (8-9), 1457-1462, 2011 | 124 | 2011 |
| Effects of moisture and hydrogen content on the heating value of fuels A Demirbas Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 29 …, 2007 | 124 | 2007 |
| Estimation of air dew point temperature using computational intelligence schemes A Baghban, M Bahadori, J Rozyn, M Lee, A Abbas, A Bahadori, ... Applied thermal engineering 93, 1043-1052, 2016 | 123 | 2016 |
| A comprehensive overview about the effect of nano-SiO2 on some properties of traditional cementitious materials and alkali-activated fly ash AM Rashad Construction and Building Materials 52, 437-464, 2014 | 120 | 2014 |
| A neural network-based local rainfall prediction system using meteorological data on the Internet: A case study using data from the Japan Meteorological Agency T Kashiwao, K Nakayama, S Ando, K Ikeda, M Lee, A Bahadori Applied Soft Computing 56, 317-330, 2017 | 117 | 2017 |
| A review on the drawbacks of renewable energy as a promising energy source of the future A Azarpour, S Suhaimi, G Zahedi, A Bahadori Arabian Journal for Science and Engineering 38, 317-328, 2013 | 105 | 2013 |
| A LSSVM approach for determining well placement and conning phenomena in horizontal wells MA Ahmadi, A Bahadori Fuel 153, 276-283, 2015 | 103 | 2015 |
| Estimating hydrogen sulfide solubility in ionic liquids using a machine learning approach A Shafiei, MA Ahmadi, SH Zaheri, A Baghban, A Amirfakhrian, ... The Journal of Supercritical Fluids 95, 525-534, 2014 | 103 | 2014 |
| Prediction of water quality index (WQI) using support vector machine (SVM) and least square-support vector machine (LS-SVM) WC Leong, A Bahadori, J Zhang, Z Ahmad International Journal of River Basin Management 19 (2), 149-156, 2021 | 99 | 2021 |
