| Particle size distribution models, their characteristics and fitting capability H Bayat, M Rastgo, MM Zadeh, H Vereecken Journal of hydrology 529, 872-889, 2015 | 96 | 2015 |
| Artificial neural networks developed for prediction of dye decolorization efficiency with UV/K2S2O8 process AR Soleymani, J Saien, H Bayat Chemical Engineering Journal 170 (1), 29-35, 2011 | 67 | 2011 |
| Effects of slope aspect, grazing, and sampling position on the soil penetration resistance curve H Bayat, M Sheklabadi, M Moradhaseli, E Ebrahimi Geoderma 303, 150-164, 2017 | 50 | 2017 |
| Combination of artificial neural networks and fractal theory to predict soil water retention curve H Bayat, MR Neyshaburi, K Mohammadi, N Nariman-Zadeh, M Irannejad, ... Computers and electronics in agriculture 92, 92-103, 2013 | 43 | 2013 |
| Estimating water retention with pedotransfer functions using multi-objective group method of data handling and ANNs H Bayat, MR Neyshabouri, K Mohammadi, N Nariman-Zadeh Pedosphere 21 (1), 107-114, 2011 | 42 | 2011 |
| Estimating the soil water retention curve: Comparison of multiple nonlinear regression approach and random forest data mining technique M Rastgou, H Bayat, M Mansoorizadeh, AS Gregory Computers and Electronics in Agriculture 174, 105502, 2020 | 33 | 2020 |
| Estimation of soil saturated hydraulic conductivity by artificial neural networks ensemble in smectitic soils A Sedaghat, H Bayat, AA Safari Sinegani Eurasian Soil Science 49, 347-357, 2016 | 32 | 2016 |
| Comparing neural networks, linear and nonlinear regression techniques to model penetration resistance H Bayat, MR NEYSHABURI, MA Hajabbasi, AA Mahboubi, ... Turkish Journal of Agriculture and Forestry 32 (5), 425-433, 2008 | 29 | 2008 |
| Analyzing the effect of various soil properties on the estimation of soil specific surface area by different methods H Bayat, E Ebrahimi, S Ersahin, EN Hepper, DN Singh, AM Amer, ... Applied Clay Science 116, 129-140, 2015 | 25 | 2015 |
| Prediction of CEC using fractal parameters by artificial neural networks H Bayat, N Davatgar, M Jalali International Agrophysics 28 (2), 2014 | 25 | 2014 |
| Iron and magnesium nano-oxide effects on some physical and mechanical properties of a loamy Hypocalcic Cambisol H Bayat, Z Kolahchi, S Valaey, M Rastgou, S Mahdavi Geoderma 335, 57-68, 2019 | 24 | 2019 |
| Mathematical models for soil particle‐size distribution and their overall and fraction‐wise fitting to measurements H Bayat, M Rastgou, A Nemes, M Mansourizadeh, P Zamani European journal of soil science 68 (3), 345-364, 2017 | 23 | 2017 |
| Modeling Fentonic advanced oxidation process decolorization of Direct Red 16 using artificial neural network technique J Saien, AR Soleymani, H Bayat Desalination and Water Treatment 40 (1-3), 174-182, 2012 | 23 | 2012 |
| Novel impacts of nanoparticles on soil properties: tensile strength of aggregates and compression characteristics of soil H Bayat, Z Kolahchi, S Valaey, M Rastgou, S Mahdavi Archives of Agronomy and Soil Science 64 (6), 776-789, 2018 | 22 | 2018 |
| Prediction capability of different soil water retention curve models using artificial neural networks E Ebrahimi, H Bayat, MR Neyshaburi, H Zare Abyaneh Archives of Agronomy and Soil Science 60 (6), 859-879, 2014 | 22 | 2014 |
| Developing pedotransfer functions using Sentinel-2 satellite spectral indices and Machine learning for estimating the surface soil moisture A Sedaghat, MS Shahrestani, AA Noroozi, AF Nosratabad, H Bayat Journal of Hydrology 606, 127423, 2022 | 21 | 2022 |
| Estimating soil water characteristic curve using landscape features and soil thermal properties H Bayat, B Mazaheri, BP Mohanty Soil and Tillage Research 189, 1-14, 2019 | 21 | 2019 |
| Investigating the correlation between soil tensile strength curve and soil water retention curve via modeling G Ebrahim-Zadeh, H Bayat, AAS Sinegani, HZ Abyaneh, H Vereecken Soil and Tillage Research 167, 9-29, 2017 | 19 | 2017 |
| Estimation of the soil water retention curve using penetration resistance curve models H Bayat, GE Zadeh Computers and Electronics in Agriculture 144, 329-343, 2018 | 18 | 2018 |
| Improving estimation of specific surface area by artificial neural network ensembles using fractal and particle size distribution curve parameters as predictors H Bayat, S Ersahin, EN Hepper Environmental Modeling & Assessment 18, 605-614, 2013 | 17 | 2013 |
