| Experimental and numerical consideration of the effect of CeO2 nanoparticles on diesel engine performance and exhaust emission with the aid of artificial neural network HS Saraee, H Taghavifar, S Jafarmadar Applied Thermal Engineering 113, 663-672, 2017 | 133 | 2017 |
| Reduction of emissions and fuel consumption in a compression ignition engine using nanoparticles H Soukht Saraee, S Jafarmadar, H Taghavifar, SJ Ashrafi International journal of environmental science and technology 12, 2245-2252, 2015 | 102 | 2015 |
| Thermo-economical consideration of Regenerative organic Rankine cycle coupling with the absorption chiller systems incorporated in the trigeneration system S Anvari, H Taghavifar, A Parvishi Energy Conversion and Management 148, 317-329, 2017 | 92 | 2017 |
| Diesel engine spray characteristics prediction with hybridized artificial neural network optimized by genetic algorithm H Taghavifar, S Khalilarya, S Jafarmadar Energy 71, 656-664, 2014 | 83 | 2014 |
| Appraisal of artificial neural networks to the emission analysis and prediction of CO2, soot, and NOx of n-heptane fueled engine H Taghavifar, H Taghavifar, A Mardani, A Mohebbi, S Khalilarya, ... Journal of cleaner production 112, 1729-1739, 2016 | 79 | 2016 |
| 4E analysis of a modified multigeneration system designed for power, heating/cooling, and water desalination S Anvari, O Mahian, H Taghavifar, S Wongwises, U Desideri Applied Energy 270, 115107, 2020 | 77 | 2020 |
| Engine structure modifications effect on the flow behavior, combustion, and performance characteristics of DI diesel engine H Taghavifar, S Khalilarya, S Jafarmadar Energy conversion and management 85, 20-32, 2014 | 74 | 2014 |
| Heat generation/absorption on MHD stagnation flow of nanofluid towards a porous stretching sheet with prescribed surface heat flux B Jalilpour, S Jafarmadar, DD Ganji, AB Shotorban, H Taghavifar Journal of Molecular Liquids 195, 194-204, 2014 | 69 | 2014 |
| Benchmarking of water injection in a hydrogen-fueled diesel engine to reduce emissions H Taghavifar, S Anvari, A Parvishi International Journal of Hydrogen Energy 42 (16), 11962-11975, 2017 | 67 | 2017 |
| Combustion and exergy analysis of multi-component diesel-DME-methanol blends in HCCI engine H Taghavifar, A Nemati, JH Walther Energy 187, 115951, 2019 | 63 | 2019 |
| Numerical energetic and exergetic analysis of CI diesel engine performance for different fuels of hydrogen, dimethyl ether, and diesel under various engine speeds H Taghavifar, S Khalilarya, S Mirhasani, S Jafarmadar International Journal of Hydrogen Energy 39 (17), 9515-9526, 2014 | 51 | 2014 |
| Modeling the impact of in-cylinder combustion parameters of DI engines on soot and NOx emissions at rated EGR levels using ANN approach H Taghavifar, H Taghavifar, A Mardani, A Mohebbi Energy conversion and management 87, 1-9, 2014 | 49 | 2014 |
| Techno-economic viability of on grid micro-hybrid PV/wind/Gen system for an educational building in Iran H Taghavifar, ZS Zomorodian Renewable and sustainable Energy reviews 143, 110877, 2021 | 43 | 2021 |
| Exhaust emissions prognostication for DI diesel group-hole injectors using a supervised artificial neural network approach H Taghavifar, H Taghavifar, A Mardani, A Mohebbi Fuel 125, 81-89, 2014 | 38 | 2014 |
| Comparing multi-objective non-evolutionary NLPQL and evolutionary genetic algorithm optimization of a DI diesel engine: DoE estimation and creating surrogate model A Navid, S Khalilarya, H Taghavifar Energy Conversion and Management 126, 385-399, 2016 | 36 | 2016 |
| Application of DoE evaluation to introduce the optimum injection strategy-chamber geometry of diesel engine using surrogate epsilon-SVR H Taghavifar, S Jafarmadar, H Taghavifar, A Navid Applied thermal engineering 106, 56-66, 2016 | 34 | 2016 |
| A numerical investigation on the wall heat flux in a DI diesel engine fueled with n-heptane using a coupled CFD and ANN approach H Taghavifar, H Taghavifar, A Mardani, A Mohebbi, S Khalilarya Fuel 140, 227-236, 2015 | 34 | 2015 |
| Implementation of ANN on CCHP system to predict trigeneration performance with consideration of various operative factors S Anvari, H Taghavifar, RK Saray, S Khalilarya, S Jafarmadar Energy conversion and management 101, 503-514, 2015 | 31 | 2015 |
| 1D energy, exergy, and performance assessment of turbocharged diesel/hydrogen RCCI engine at different levels of diesel, hydrogen, compressor pressure ratio, and combustion … H Taghavifar, A Nemati, FJ Salvador, J De la Morena International Journal of Hydrogen Energy 46 (42), 22180-22194, 2021 | 27 | 2021 |
| Numerical simulation of diesel injector nozzle flow and in-cylinder spray evolution S Anvari, H Taghavifar, S Khalilarya, S Jafarmadar, MT Shervani-Tabar Applied Mathematical Modelling 40 (19-20), 8617-8629, 2016 | 25 | 2016 |
