Haoyuan Hong
Title
Cited by
Cited by
Year
A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility
W Chen, X Xie, J Wang, B Pradhan, H Hong, DT Bui, Z Duan, J Ma
Catena 151, 147-160, 2017
2552017
Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines
H Hong, B Pradhan, C Xu, DT Bui
Catena 133, 266-281, 2015
2242015
Landslide susceptibility assessment in Lianhua County (China): a comparison between a random forest data mining technique and bivariate and multivariate statistical models
H Hong, HR Pourghasemi, ZS Pourtaghi
Geomorphology 259, 105-118, 2016
1572016
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
1422018
Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution
H Hong, M Panahi, A Shirzadi, T Ma, J Liu, AX Zhu, W Chen, I Kougias, ...
Science of The Total Environment 621, 1124-1141, 2018
1202018
Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China
W Chen, J Peng, H Hong, H Shahabi, B Pradhan, J Liu, AX Zhu, X Pei, ...
Science of the total environment 626, 1121-1135, 2018
1132018
Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy
H Hong, W Chen, C Xu, AM Youssef, B Pradhan, D Tien Bui
Geocarto International 32 (2), 139-154, 2017
1052017
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
942017
GIS-based landslide susceptibility modelling: a comparative assessment of kernel logistic regression, Naïve-Bayes tree, and alternating decision tree models
W Chen, X Xie, J Peng, J Wang, Z Duan, H Hong
Geomatics, Natural Hazards and Risk 8 (2), 950-973, 2017
942017
Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China
H Hong, P Tsangaratos, I Ilia, J Liu, AX Zhu, W Chen
Science of the total environment 625, 575-588, 2018
932018
GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method
W Chen, X Xie, J Peng, H Shahabi, H Hong, DT Bui, Z Duan, S Li, AX Zhu
Catena 164, 135-149, 2018
912018
A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
K Khosravi, H Shahabi, BT Pham, J Adamowski, A Shirzadi, B Pradhan, ...
Journal of Hydrology 573, 311-323, 2019
782019
Spatial prediction of landslide hazard at the Luxi area (China) using support vector machines
H Hong, B Pradhan, MN Jebur, DT Bui, C Xu, A Akgun
Environmental Earth Sciences 75 (1), 40, 2016
752016
Application of frequency ratio, weights of evidence and evidential belief function models in landslide susceptibility mapping
Q Ding, W Chen, H Hong
Geocarto international 32 (6), 619-639, 2017
732017
Applying Information Theory and GIS-based quantitative methods to produce landslide susceptibility maps in Nancheng County, China
P Tsangaratos, I Ilia, H Hong, W Chen, C Xu
Landslides 14 (3), 1091-1111, 2017
692017
A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment
W Chen, H Shahabi, A Shirzadi, T Li, C Guo, H Hong, W Li, D Pan, J Hui, ...
Geocarto International 33 (12), 1398-1420, 2018
682018
Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling
W Chen, H Shahabi, A Shirzadi, H Hong, A Akgun, Y Tian, J Liu, AX Zhu, ...
Bulletin of Engineering Geology and the Environment 78 (6), 4397-4419, 2019
652019
A hybrid fuzzy weight of evidence method in landslide susceptibility analysis on the Wuyuan area, China
H Hong, I Ilia, P Tsangaratos, W Chen, C Xu
Geomorphology 290, 1-16, 2017
652017
A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China)
H Hong, J Liu, AX Zhu, H Shahabi, BT Pham, W Chen, B Pradhan, DT Bui
Environmental Earth Sciences 76 (19), 652, 2017
622017
Spatial prediction of landslide susceptibility using data mining-based kernel logistic regression, naive Bayes and RBFNetwork models for the Long County area (China)
W Chen, X Yan, Z Zhao, H Hong, DT Bui, B Pradhan
Bulletin of Engineering Geology and the Environment 78 (1), 247-266, 2019
592019
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