| Performance and exhaust emissions of a biodiesel engine M Canakci, A Erdil, E Arcaklioğlu Applied energy 83 (6), 594-605, 2006 | 458 | 2006 |
| Prediction of performance and exhaust emissions of a diesel engine fueled with biodiesel produced from waste frying palm oil M Canakci, AN Ozsezen, E Arcaklioglu, A Erdil Expert systems with Applications 36 (5), 9268-9280, 2009 | 350 | 2009 |
| Artificial neural network application to the friction stir welding of aluminum plates H Okuyucu, A Kurt, E Arcaklioglu Materials & design 28 (1), 78-84, 2007 | 337 | 2007 |
| Estimation of solar potential in Turkey by artificial neural networks using meteorological and geographical data A Sözen, E Arcaklioğlu, M Özalp Energy Conversion and Management 45 (18-19), 3033-3052, 2004 | 274 | 2004 |
| Use of artificial neural networks for mapping of solar potential in Turkey A Sözen, E Arcaklioǧlu, M Özalp, EG Kanit Applied Energy 77 (3), 273-286, 2004 | 242 | 2004 |
| Forecasting based on neural network approach of solar potential in Turkey A Sözen, E Arcaklıoğlu, M Özalp, N Çağlar Renewable Energy 30 (7), 1075-1090, 2005 | 237 | 2005 |
| Turkey’s net energy consumption A Sözen, E Arcaklioğlu, M Özkaymak Applied Energy 81 (2), 209-221, 2005 | 198 | 2005 |
| Comparative study of mathematical and experimental analysis of spark ignition engine performance used ethanol–gasoline blend fuel HS Yücesu, A Sozen, T Topgül, E Arcaklioğlu Applied Thermal Engineering 27 (2-3), 358-368, 2007 | 192 | 2007 |
| Prediction of net energy consumption based on economic indicators (GNP and GDP) in Turkey A Sözen, E Arcaklioglu Energy Policy 35 (10), 4981-4992, 2007 | 177 | 2007 |
| Solar-energy potential in Turkey A Sözen, E Arcaklioğlu, M Özalp, EG Kanit Applied Energy 80 (4), 367-381, 2005 | 167* | 2005 |
| A diesel engine's performance and exhaust emissions E Arcaklioğlu, İ Çelıkten Applied energy 80 (1), 11-22, 2005 | 165 | 2005 |
| Performance maps of a diesel engine V Çelik, E Arcaklioğlu Applied energy 81 (3), 247-259, 2005 | 122 | 2005 |
| A new approach to thermodynamic analysis of ejector–absorption cycle: artificial neural networks A Sözen, E Arcaklioǧlu, M Özalp Applied Thermal Engineering 23 (8), 937-952, 2003 | 103 | 2003 |
| Forecasting based on sectoral energy consumption of GHGs in Turkey and mitigation policies A Sözen, Z Gülseven, E Arcaklioğlu Energy policy 35 (12), 6491-6505, 2007 | 102 | 2007 |
| Exergy analysis of an ejector-absorption heat transformer using artificial neural network approach A Sözen, E Arcaklioğlu Applied thermal engineering 27 (2), 481-491, 2007 | 96 | 2007 |
| Prospects for future projections of the basic energy sources in Turkey A Sözen, E Arcaklioğlu Energy Sources, Part B 2 (2), 183-201, 2007 | 84 | 2007 |
| Artificial neural network analysis of heat pumps using refrigerant mixtures E Arcaklioğlu, A Erişen, R Yilmaz Energy Conversion and Management 45 (11-12), 1917-1929, 2004 | 83 | 2004 |
| Performance comparison of CFCs with their substitutes using artificial neural network E Arcaklioğlu International Journal of Energy Research 28 (12), 1113-1125, 2004 | 80 | 2004 |
| Forecasting net energy consumption using artificial neural network A Sözen, MA Akçayol, E Arcaklioğlu Energy Sources, Part B 1 (2), 147-155, 2006 | 73 | 2006 |
| Investigation of thermodynamic properties of refrigerant/absorbent couples using artificial neural networks A Sözen, M Özalp, E Arcaklioğlu Chemical Engineering and Processing: Process Intensification 43 (10), 1253-1264, 2004 | 70 | 2004 |
Prof.Dr.Adnan SOZENGazi ÜniversitesiVerified email at gazi.edu.tr
