| Weed segmentation using texture features extracted from wavelet sub-images A Bakhshipour, A Jafari, SM Nassiri, D Zare Biosystems Engineering 157, 1-12, 2017 | 181 | 2017 |
| Computer simulation of rough rice drying in a batch dryer D Zare, S Minaei, MM Zadeh, MH Khoshtaghaza Energy Conversion and Management 47 (18-19), 3241-3254, 2006 | 147 | 2006 |
| Simulation of energetic-and exergetic performance of microwave-assisted fluidized bed drying of soybeans M Ranjbaran, D Zare Energy 59, 484-493, 2013 | 144 | 2013 |
| CFD simulation of deep-bed paddy drying process and performance M Ranjbaran, B Emadi, D Zare Drying technology 32 (8), 919-934, 2014 | 105 | 2014 |
| Evaluation of a simulation model in predicting the drying parameters for deep-bed paddy drying D Zare, G Chen Computers and Electronics in Agriculture 68 (1), 78-87, 2009 | 87 | 2009 |
| An integrated energy and quality approach to optimization of green peas drying in a hot air infrared-assisted vibratory bed dryer M Barzegar, D Zare, RL Stroshine Journal of Food Engineering 166, 302-315, 2015 | 82 | 2015 |
| Optimization and evaluation of a semi-continuous solar dryer for cereals (Rice, etc) A Zomorodian, D Zare, H Ghasemkhani Desalination 209 (1-3), 129-135, 2007 | 79 | 2007 |
| Energy and quality attributes of combined hot-air/infrared drying of paddy D Zare, H Naderi, M Ranjbaran Drying Technology 33 (5), 570-582, 2015 | 78 | 2015 |
| Evaluation of the air-borne ultrasound on fluidized bed drying of shelled corn: Effectiveness, grain quality, and energy consumption B Abdoli, D Zare, A Jafari, G Chen Drying Technology 36 (14), 1749-1766, 2018 | 64 | 2018 |
| Ultrasound-assisted fluidized bed drying of paddy: Energy consumption and rice quality aspects A Jafari, D Zare Drying Technology 35 (7), 893-902, 2017 | 59 | 2017 |
| Modeling of heat and mass transfer within the grain storage ecosystem using numerical methods: A review S Subrot Panigrahi, CB Singh, J Fielke, D Zare Drying Technology 38 (13), 1677-1697, 2020 | 51 | 2020 |
| Simulation and validation of microwave-assisted fluidized bed drying of soybeans D Zare, M Ranjbaran Drying Technology 30 (3), 236-247, 2012 | 50 | 2012 |
| A generalized dimensionless model for deep bed drying of paddy D Zare, DS Jayas, CB Singh Drying Technology 30 (1), 44-51, 2012 | 44 | 2012 |
| Physical properties of cumin and caraway seeds D Zare, A Bakhshipour, G Chen International Agrophysics 27 (4), 491-494, 2013 | 36 | 2013 |
| CFD modeling of microwave-assisted fluidized bed drying of moist particles using two-fluid model M Ranjbaran, D Zare Drying Technology 30 (4), 362-376, 2012 | 34 | 2012 |
| Pollen source influences fruit quality, aril properties, and seed characteristics in pomegranate A Gharaghani, AA Ghasemi Soloklui, N Oraguzie, D Zare International journal of fruit science 17 (3), 333-348, 2017 | 26 | 2017 |
| Application of computer vision for determining viscoelastic characteristics of date fruits M Alirezaei, D Zare, SM Nassiri Journal of Food Engineering 118 (3), 326-332, 2013 | 26 | 2013 |
| Experimental and theoretical investigation of hot air-infrared thin layer drying of corn in a fixed and vibratory bed dryer H Rahmanian-Koushkaki, A Nourmohamadi-Moghadami, D Zare, ... Engineering in agriculture, environment and food 10 (3), 191-197, 2017 | 25 | 2017 |
| Some physical and mechanical properties of Russian olive fruit D Zare, F Salmanizade, H Safiyari World Academy of Science, Engineering and Technology, International Journal …, 2012 | 24 | 2012 |
| A NEW APPROACH FOR MODELING OF HOT AIR-MICROWAVE THIN LAYER DRYING OF SOYBEAN. M Ranjbaran, D Zare Electronic Journal of Polish Agricultural Universities 15 (3), 2012 | 18 | 2012 |
Mohsen RanjbaranPurdue UniversityVerified email at purdue.edu
