Get started
Author

Himan Shahabi

Observed names: H SHAHABI, H Shahabi, H. Shahabi, H. Shahabi1, H. Allahvirdiasl2, Himan Shahabi (14036883), Shahabi, Himan
Observed institutions: Islamic Azad University, Tehran, Silesian University of Technology, University of Kurdistan, University of Tabriz, Islamic Azad University of Chalous, University of Technology Malaysia
ORCID: 0000-0001-5091-6947
Observed ORCID: 0000-0001-5091-6947
OpenAlex ID: A5091211368
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
2018 · Khabat Khosravi, Binh Thai Pham, et al. · The Science of The Total Environment · 793
A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
2019 · Khabat Khosravi, Himan Shahabi, et al. · Journal of Hydrology · 748
A novel hybrid artificial intelligence approach for flood susceptibility assessment
2017 · Kamran Chapi, Vijay P. Singh, et al. · Environmental Modelling & Software · 634
Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods
2019 · Wei Chen, Yang Li, et al. · The Science of The Total Environment · 506
Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling
2018 · Wei Chen, Shuai Zhang, et al. · The Science of The Total Environment · 481
Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China
2018 · Wei Chen, Jianbing Peng, et al. · The Science of The Total Environment · 478
Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment
2015 · Himan Shahabi, Mazlan Hashim · Scientific Reports · 461
PDF
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 Neighbor Classifier
2020 · Himan Shahabi, Ataollah Shirzadi, et al. · Remote Sensing · 377
Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping
2018 · Hossein Shafizadeh-Moghadam, Roozbeh Valavi, et al. · Journal of Environmental Management · 369
Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches
2018 · Binh Thai Pham, Indra Prakash, et al. · CATENA · 311
RETRACTED: Landslide susceptibility mapping at central Zab basin, Iran: A comparison between analytical hierarchy process, frequency ratio and logistic regression models
2013 · Himan Shahabi, Saeed Khezri, et al. · CATENA · 311
Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles
2019 · Wei Chen, Haoyuan Hong, et al. · Journal of Hydrology · 308
Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability
2019 · Abolfazl Jaafari, Eric K. Zenner, et al. · Agricultural and Forest Meteorology · 299
GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method
2018 · Wei Chen, Xiaoshen Xie, et al. · CATENA · 281
Shallow landslide susceptibility assessment using a novel hybrid intelligence approach
2017 · Ataollah Shirzadi, Dieu Tien Bui, et al. · Environmental Earth Sciences · 275
Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)
2018 · M. Ahmadlou, M. Karimi, et al. · Geocarto International · 266
Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility
2018 · Wei Chen, Mahdi Panahi, et al. · CATENA · 262
Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms
2020 · Viet-Ha Nhu, Ataollah Shirzadi, et al. · International Journal of Environmental Research and Public Health · 260
Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility
2019 · Abolfazl Jaafari, Mahdi Panahi, et al. · CATENA · 253
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm
2019 · Yi Wang, Haoyuan Hong, et al. · Journal of Environmental Management · 250
Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms
2019 · Qingfeng He, Himan Shahabi, et al. · The Science of The Total Environment · 246
Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods
2019 · Omid Rahmati, Bahram Choubin, et al. · The Science of The Total Environment · 241
New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling
2018 · Dieu Tien Bui, Khabat Khosravi, et al. · Water · 237
Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models
2018 · Ali Azareh, Omid Rahmati, et al. · The Science of The Total Environment · 212
Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach
2018 · Shaghayegh Miraki, Sasan Hedayati Zanganeh, et al. · Water Resources Management · 202
Works count: 180
Citation count: 17,670
H-index: 77
I10-index: 123
Year
Topic
Type