| 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 | 914 | 2017 |
| 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 | 639 | 2019 |
| 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 | 485 | 2015 |
| 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 | 479 | 2018 |
| 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 | 455 | 2016 |
| Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China Y Wang, Z Fang, H Hong Science of the total environment 666, 975-993, 2019 | 447 | 2019 |
| 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 | 440 | 2020 |
| 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 | 423 | 2018 |
| 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 | 414 | 2018 |
| 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 | 414 | 2018 |
| Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping Y Wu, Y Ke, Z Chen, S Liang, H Zhao, H Hong Catena 187, 104396, 2020 | 340 | 2020 |
| Analyzing urban spatial patterns and trend of urban growth using urban sprawl matrix: A study on Kolkata urban agglomeration, India M Sahana, H Hong, H Sajjad Science of the Total Environment 628, 1557-1566, 2018 | 302 | 2018 |
| 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 | 281 | 2019 |
| GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight of evidence and their ensemble techniques M Shafapour Tehrany, F Shabani, M Neamah Jebur, H Hong, W Chen, ... Geomatics, Natural Hazards and Risk 8 (2), 1538-1561, 2017 | 278 | 2017 |
| Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping Z Fang, Y Wang, L Peng, H Hong Computers & Geosciences 139, 104470, 2020 | 276 | 2020 |
| 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 | 276 | 2018 |
| Flood susceptibility mapping using convolutional neural network frameworks Y Wang, Z Fang, H Hong, L Peng Journal of hydrology 582, 124482, 2020 | 270 | 2020 |
| 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 | 253 | 2017 |
| Comparative study of landslide susceptibility mapping with different recurrent neural networks Y Wang, Z Fang, M Wang, L Peng, H Hong Computers & Geosciences 138, 104445, 2020 | 246 | 2020 |
| 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 | 246 | 2017 |
Professor Biswajeet Pradhan, SMIEEE...Distinguished Prof. & Director, CAMGIS Center, University of Technology Sydney, Australiaยืนยันอีเมลแล้วที่ uts.edu.au
