| 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 | 444 | 2019 |
| 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 |
| Flood susceptibility mapping using convolutional neural network frameworks Y Wang, Z Fang, H Hong, L Peng Journal of hydrology 582, 124482, 2020 | 269 | 2020 |
| 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 | 268 | 2020 |
| 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 | 243 | 2020 |
| Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm Y Wang, H Hong, W Chen, S Li, M Panahi, K Khosravi, A Shirzadi, ... Journal of environmental management 247, 712-729, 2019 | 243 | 2019 |
| Predicting flood susceptibility using LSTM neural networks Z Fang, Y Wang, L Peng, H Hong Journal of Hydrology 594, 125734, 2020 | 226 | 2020 |
| A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping Z Fang, Y Wang, L Peng, H Hong International Journal of Geographical Information Science 35 (2), 321-347, 2021 | 218 | 2021 |
| A hybrid GIS multi-criteria decision-making method for flood susceptibility mapping at Shangyou, China Y Wang, H Hong, W Chen, S Li, D Pamučar, L Gigović, S Drobnjak, ... Remote Sensing 11 (1), 62, 2018 | 176 | 2018 |
| Spatial prediction of landslide susceptibility using gis-based data mining techniques of anfis with whale optimization algorithm (woa) and grey wolf optimizer (gwo) W Chen, H Hong, M Panahi, H Shahabi, Y Wang, A Shirzadi, S Pirasteh, ... Applied Sciences 9 (18), 3755, 2019 | 160 | 2019 |
| A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities W Han, X Zhang, Y Wang, L Wang, X Huang, J Li, S Wang, W Chen, X Li, ... ISPRS Journal of Photogrammetry and Remote Sensing 202, 87-113, 2023 | 130 | 2023 |
| Flood susceptibility mapping by integrating frequency ratio and index of entropy with multilayer perceptron and classification and regression tree Y Wang, Z Fang, H Hong, R Costache, X Tang Journal of Environmental Management 289, 112449, 2021 | 124 | 2021 |
| Integration of information theory, K-means cluster analysis and the logistic regression model for landslide susceptibility mapping in the Three Gorges Area, China Q Wang, Y Wang, R Niu, L Peng Remote Sensing 9 (9), 938, 2017 | 110 | 2017 |
| A spatial and temporal reflectance fusion model considering sensor observation differences H Shen, P Wu, Y Liu, T Ai, Y Wang, X Liu International journal of remote sensing 34 (12), 4367-4383, 2013 | 96 | 2013 |
| Identification of torrential valleys using GIS and a novel hybrid integration of artificial intelligence, machine learning and bivariate statistics R Costache, H Hong, Y Wang Catena 183, 104179, 2019 | 94 | 2019 |
| Introducing a novel multi-layer perceptron network based on stochastic gradient descent optimized by a meta-heuristic algorithm for landslide susceptibility mapping H Hong, P Tsangaratos, I Ilia, C Loupasakis, Y Wang Science of the total environment 742, 140549, 2020 | 93 | 2020 |
| Multi-hazard susceptibility mapping based on Convolutional Neural Networks K Ullah, Y Wang, Z Fang, L Wang, M Rahman Geoscience Frontiers 13 (5), 101425, 2022 | 80 | 2022 |
| Multiple kernel-based SVM classification of hyperspectral images by combining spectral, spatial, and semantic information Y Wang, W Yu, Z Fang Remote Sensing 12 (1), 120, 2020 | 71 | 2020 |
| A combination of geographically weighted regression, particle swarm optimization and support vector machine for landslide susceptibility mapping: a case study at Wanzhou in the … X Yu, Y Wang, R Niu, Y Hu International journal of environmental research and public health 13 (5), 487, 2016 | 67 | 2016 |
| Anisotropic diffusion for hyperspectral imagery enhancement Y Wang, R Niu, X Yu IEEE Sensors Journal 10 (3), 469-477, 2010 | 62 | 2010 |
Zhice FangChina University of Geosciences, Wuhan確認したメール アドレス: cug.edu.cn