| Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China) H Hong, J Liu, DT Bui, B Pradhan, TD Acharya, BT Pham, AX Zhu, ... Catena 163, 399-413, 2018 | 480 | 2018 |
| Modeling flood susceptibility using data-driven approaches of naïve bayes tree, alternating decision tree, and random forest methods W Chen, Y Li, W Xue, H Shahabi, S Li, H Hong, X Wang, H Bian, S Zhang, ... Science of The Total Environment 701, 134979, 2020 | 433 | 2020 |
| RETRACTED: Landslide susceptibility mapping at central Zab basin, Iran: A comparison between analytical hierarchy process, frequency ratio and logistic regression models H Shahabi, S Khezri, BB Ahmad, M Hashim Catena 115, 55-70, 2014 | 380 | 2014 |
| GIS-based groundwater potential analysis using novel ensemble weights-of-evidence with logistic regression and functional tree models W Chen, H Li, E Hou, S Wang, G Wang, M Panahi, T Li, T Peng, C Guo, ... Science of the Total Environment 634, 853-867, 2018 | 321 | 2018 |
| Flood detection and susceptibility mapping using sentinel-1 remote sensing data and a machine learning approach: Hybrid intelligence of bagging ensemble based on k-nearest … H Shahabi, A Shirzadi, K Ghaderi, E Omidvar, N Al-Ansari, JJ Clague, ... Remote Sensing 12 (2), 266, 2020 | 312 | 2020 |
| Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles W Chen, H Hong, S Li, H Shahabi, Y Wang, X Wang, BB Ahmad Journal of Hydrology 575, 864-873, 2019 | 280 | 2019 |
| Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility W Chen, M Panahi, P Tsangaratos, H Shahabi, I Ilia, S Panahi, S Li, ... Catena 172, 212-231, 2019 | 268 | 2019 |
| Shallow landslide susceptibility mapping: A comparison between logistic model tree, logistic regression, naïve bayes tree, artificial neural network, and support vector machine … VH Nhu, A Shirzadi, H Shahabi, SK Singh, N Al-Ansari, JJ Clague, ... International journal of environmental research and public health 17 (8), 2749, 2020 | 256 | 2020 |
| New hybrids of anfis with several optimization algorithms for flood susceptibility modeling D Tien Bui, K Khosravi, S Li, H Shahabi, M Panahi, VP Singh, K Chapi, ... Water 10 (9), 1210, 2018 | 238 | 2018 |
| Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms Q He, H Shahabi, A Shirzadi, S Li, W Chen, N Wang, H Chai, H Bian, J Ma, ... Science of the total environment 663, 1-15, 2019 | 235 | 2019 |
| Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models A Azareh, O Rahmati, E Rafiei-Sardooi, JB Sankey, S Lee, H Shahabi, ... Science of the Total Environment 655, 684-696, 2019 | 226 | 2019 |
| A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao … W Chen, A Shirzadi, H Shahabi, BB Ahmad, S Zhang, H Hong, N Zhang Geomatics, Natural Hazards and Risk 8 (2), 1955-1977, 2017 | 207 | 2017 |
| Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods O Rahmati, B Choubin, A Fathabadi, F Coulon, E Soltani, H Shahabi, ... Science of the Total Environment 688, 855-866, 2019 | 200 | 2019 |
| Novel GIS based machine learning algorithms for shallow landslide susceptibility mapping A Shirzadi, K Soliamani, M Habibnejhad, A Kavian, K Chapi, H Shahabi, ... Sensors 18 (11), 3777, 2018 | 189 | 2018 |
| Novel hybrid evolutionary algorithms for spatial prediction of floods DT Bui, M Panahi, H Shahabi, VP Singh, A Shirzadi, K Chapi, K Khosravi, ... Scientific reports 8 (1), 15364, 2018 | 182 | 2018 |
| Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the central Zab basin, Iran H Shahabi, M Hashim, BB Ahmad Environmental Earth Sciences 73, 8647-8668, 2015 | 176 | 2015 |
| Landslide susceptibility modeling based on gis and novel bagging-based kernel logistic regression W Chen, H Shahabi, S Zhang, K Khosravi, A Shirzadi, K Chapi, BT Pham, ... Applied Sciences 8 (12), 2540, 2018 | 174 | 2018 |
| Landslide susceptibility assessment by novel hybrid machine learning algorithms B Thai Pham, A Shirzadi, H Shahabi, E Omidvar, SK Singh, M Sahana, ... Sustainability 11 (16), 4386, 2019 | 171 | 2019 |
| Land subsidence susceptibility mapping in south korea using machine learning algorithms D Tien Bui, H Shahabi, A Shirzadi, K Chapi, B Pradhan, W Chen, ... Sensors 18 (8), 2464, 2018 | 164 | 2018 |
| Landslide detection and susceptibility mapping by airsar data using support vector machine and index of entropy models in cameron highlands, malaysia D Tien Bui, H Shahabi, A Shirzadi, K Chapi, M Alizadeh, W Chen, ... Remote Sensing 10 (10), 1527, 2018 | 162 | 2018 |