| Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping F Huang, Z Cao, J Guo, SH Jiang, S Li, Z Guo Catena 191, 104580, 2020 | 405 | 2020 |
| A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction F Huang, J Zhang, C Zhou, Y Wang, J Huang, L Zhu Landslides 17, 217-229, 2020 | 404 | 2020 |
| Landslide displacement prediction based on multivariate chaotic model and extreme learning machine F Huang, J Huang, S Jiang, C Zhou Engineering Geology 218, 173-186, 2017 | 284 | 2017 |
| Landslide susceptibility prediction based on remote sensing images and GIS: Comparisons of supervised and unsupervised machine learning models Z Chang, Z Du, F Zhang, F Huang, J Chen, W Li, Z Guo Remote Sensing 12 (3), 502, 2020 | 261 | 2020 |
| Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model F Huang, Z Cao, SH Jiang, C Zhou, J Huang, Z Guo Landslides 17, 2919-2930, 2020 | 248 | 2020 |
| Landslide susceptibility mapping based on self-organizing-map network and extreme learning machine F Huang, K Yin, J Huang, L Gui, P Wang Engineering Geology 223, 11-22, 2017 | 236 | 2017 |
| Landslide susceptibility zonation method based on C5. 0 decision tree and K-means cluster algorithms to improve the efficiency of risk management Z Guo, Y Shi, F Huang, X Fan, J Huang Geoscience Frontiers 12 (6), 101249, 2021 | 187 | 2021 |
| Modelling of spatial variability of soil undrained shear strength by conditional random fields for slope reliability analysis SH Jiang, J Huang, F Huang, J Yang, C Yao, CB Zhou Applied Mathematical Modelling 63, 374-389, 2018 | 149 | 2018 |
| Regional rainfall-induced landslide hazard warning based on landslide susceptibility mapping and a critical rainfall threshold F Huang, J Chen, W Liu, J Huang, H Hong, W Chen Geomorphology 408, 108236, 2022 | 135 | 2022 |
| Uncertainty pattern in landslide susceptibility prediction modelling: Effects of different landslide boundaries and spatial shape expressions F Huang, J Yan, X Fan, C Yao, J Huang, W Chen, H Hong Geoscience Frontiers 13 (2), 101317, 2022 | 132 | 2022 |
| Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors Z Chang, F Catani, F Huang, G Liu, SR Meena, J Huang, C Zhou Journal of Rock Mechanics and Geotechnical Engineering 15 (5), 1127-1143, 2023 | 131 | 2023 |
| Landslide susceptibility assessment in the Nantian area of China: a comparison of frequency ratio model and support vector machine F Huang, C Yao, W Liu, Y Li, X Liu Geomatics, Natural Hazards and Risk 9 (1), 919-938, 2018 | 120 | 2018 |
| Landslide susceptibility prediction using particle-swarm-optimized multilayer perceptron: Comparisons with multilayer-perceptron-only, bp neural network, and information value … D Li, F Huang, L Yan, Z Cao, J Chen, Z Ye Applied Sciences 9 (18), 3664, 2019 | 115 | 2019 |
| Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models F Huang, Z Ye, SH Jiang, J Huang, Z Chang, J Chen Catena 202, 105250, 2021 | 114 | 2021 |
| Landslide susceptibility prediction modeling based on remote sensing and a novel deep learning algorithm of a cascade-parallel recurrent neural network L Zhu, L Huang, L Fan, J Huang, F Huang, J Chen, Z Zhang, Y Wang Sensors 20 (6), 1576, 2020 | 114 | 2020 |
| Landslide displacement prediction using discrete wavelet transform and extreme learning machine based on chaos theory F Huang, K Yin, G Zhang, L Gui, B Yang, L Liu Environmental Earth Sciences 20 (75), 1-18, 2016 | 111 | 2016 |
| Efficient and automatic extraction of slope units based on multi-scale segmentation method for landslide assessments F Huang, S Tao, Z Chang, J Huang, X Fan, SH Jiang, W Li Landslides 18, 3715-3731, 2021 | 97 | 2021 |
| Machine learning-based landslide susceptibility assessment with optimized ratio of landslide to non-landslide samples C Yang, LL Liu, F Huang, L Huang, XM Wang Gondwana Research 123, 198-216, 2023 | 90 | 2023 |
| Prediction of groundwater levels using evidence of chaos and support vector machine F Huang, J Huang, SH Jiang, C Zhou Journal of Hydroinformatics 19 (4), 586-606, 2017 | 84 | 2017 |
| Slope stability prediction based on a long short-term memory neural network: comparisons with convolutional neural networks, support vector machines and random forest models F Huang, H Xiong, S Chen, Z Lv, J Huang, Z Chang, F Catani International Journal of Coal Science & Technology 10 (1), 18, 2023 | 79 | 2023 |
Jinsong HuangThe University of NewcastleVahvistettu sähköpostiosoite verkkotunnuksessa newcastle.edu.au