Biodegradation of low-density polyethylene (LDPE) by mixed culture of Lysinibacillus xylanilyticus and Aspergillus niger in Soil A Esmaeili, AA Pourbabaee, HA Alikhani, F Shabani, E Esmaeili Plosone 8 (9), e71720, 2013 | 367 | 2013 |
Identifying the essential flood conditioning factors for flood prone area mapping using machine learning techniques Tehrany. M., Jones. S, Shabani. F. Catena 175, 174-192, 2019 | 296 | 2019 |
A comparison of absolute performance of different correlative and mechanistic species distribution models in an independent area F Shabani, L Kumar, M Ahmadi Ecology and Evolution, 2016 | 256 | 2016 |
GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight-of-evidence and their ensemble techniques MS Tehrany, F Shabani, MN Jebur, H Hong, W Chen, X Xie Geomatics, Natural Hazards and Risk, 2017 | 253 | 2017 |
Global alterations in areas of suitability for maize production from climate change and using a mechanistic species distribution model (CLIMEX). NYZ RAMIREZ-CABRAL, L KUMAR, F SHABANI Scientific Reports - Nature, 2017 | 210 | 2017 |
Evaluating the application of the statistical index method in flood susceptibility mapping and its comparison with frequency ratio and logistic regression methods MS Tehrany, L Kumar, MN Jebur, F Shabani Geomatics, Natural Hazards and Risk 10 (1), 2018 | 196* | 2018 |
A Novel Ensemble Modelling Approach for the Spatial Prediction of Tropical Forest Fire Susceptibility Using Logitboost Machine Learning Classifier and Multi-source Geospatial Data M Tehrany, S Jones, F Shabani, F Álvarez, T Bui Theoretical and Applied Climatology, 2018 | 178 | 2018 |
Assessing accuracy methods of species distribution models: AUC, Specificity, Sensitivity and the True Skill Statistic F Shabani, L Kumar, M Ahmadi. Global Journal of Human Social Sciences, 2018 | 166 | 2018 |
Climate change impacts on the future distribution of date palms: a modeling exercise using CLIMEX F Shabani, L Kumar, S Taylor Plosone 7 (10), e48021, 2012 | 147 | 2012 |
Investigating the effects of different landslide positioning techniques, landslide partitioning approaches, and presence-absence balances on landslide susceptibility mapping … HR Pourghasemi, A Kornejady, N Kerle, F Shabani Catena, 2020 | 130 | 2020 |
Landslide Susceptibility Mapping: Machine and Ensemble Learning based on Remote Sensing Big Data B Kalantar, N Ueda, V Saeidi, K Ahmadi, A Halin A, F Shabani Remote Sensing, 2020 | 120 | 2020 |
Improvement to the prediction of the USLE K factor F Shabani, L Kumar, A Esmaeili Geomorphology 204, 229-234, 2014 | 106 | 2014 |
Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data B Kalantar, N Ueda, M Idrees, S Janizadeh, K Ahmadi, F Shabani Remote Sensing, 2020 | 102 | 2020 |
A novel GIS-based ensemble technique for flood susceptibility mapping using evidential belief function and support vector machine: Brisbane, Australia M Tehrany, L Kumar, F Shabani PeerJ, 2019 | 90 | 2019 |
World climate suitability projections to 2050 and 2100 for growing oil palm N Paterson. R., Kumar. L., Shabani. F., Lima The Journal of Agricultural Science, 2017 | 87 | 2017 |
Future distributions of Fusarium oxysporum f. spp. in European, Middle Eastern and North African agricultural regions under climate change F Shabani, L Kumar, A Esmaeili Agriculture, ecosystems & environment 197, 96-105, 2014 | 86 | 2014 |
Invasive weed species threats to global biodiversity: Future scenarios of changes in the number of invasive species in a changing climate F Shabani, M Ahmadi, L Kumar, S Solhjouy-fard, M Tehrany, FZ Shabani, ... Ecological Indicators, 2020 | 84 | 2020 |
Central Composite Design Optimization of Zinc Removal from Contaminated Soil, Using Citric Acid as Biodegradable Chelant F Asadzadeh, M Maleki-Kaklar, N Soiltanalinejad, F Shabani Scientific Reports - Nature 8 (1), 2633, 2018 | 82 | 2018 |
Mapping global risk levels of Bemisia tabaci in areas of suitability for open field tomato cultivation under current and future climates MC Ramos. R., Kumar, L., Shabani, F., Picanço PLoSONE 13 (6), e0198925, 2018 | 72* | 2018 |
Risk of spread of tomato yellow leaf curl virus (TYLCV) in tomato crops under various climate change scenarios R Ramos, L Kumar, F Shabani, M Picanço Agricultural Systems, 2019 | 71 | 2019 |