Landslide susceptibility assessment in the Anfu County, China: comparing different statistical and probabilistic models considering the new topo-hydrological factor (HAND). - Haoyuan Hong; Aiding Kornejady; Adel Soltani; Seyed Vahid Razavi Termeh; Junzhi Liu; A-Xing Zhu; Arastoo Yari hesar; Baharin Bin Ahmad; Yi Wang 021 (Earth Sci. Informatics, 2018)

Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia. - Dieu Tien Bui; Himan Shahabi; Ataollah Shirzadi; Kamran Chapi; Mohsen Alizadeh; Wei Chen 051; Ayub Mohammadi; Baharin Bin Ahmad; Mahdi Panahi; Haoyuan Hong; Yingying Tian (Remote. Sens., 2018)

A Hybrid GIS Multi-Criteria Decision-Making Method for Flood Susceptibility Mapping at Shangyou, China. - Yi Wang 021; Haoyuan Hong; Wei Chen 051; Shaojun Li; Dragan Pamucar; Ljubomir Gigovic; Sinisa Drobnjak; Dieu Tien Bui; Hexiang Duan (Remote. Sens., 2019)

Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping. - Zhice Fang; Yi Wang 021; Ling Peng; Haoyuan Hong (Comput. Geosci., 2020)

Comparative study of landslide susceptibility mapping with different recurrent neural networks. - Yi Wang 021; Zhice Fang; Mao Wang; Ling Peng; Haoyuan Hong (Comput. Geosci., 2020)

Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential. - Romulus Costache; Quoc Bao Pham; Ema Corodescu-Rosca; Catalin I. Cîmpianu; Haoyuan Hong; Nguyen Thi Thuy Linh; Ming Fai Chow; Ali Najah Ahmed; Matej Vojtek; Siraj Muhammed Pandhiani; Gabriel Minea; Nicu Ciobotaru; et al. (Remote. Sens., 2020)

Uncertainties Analysis of Collapse Susceptibility Prediction Based on Remote Sensing and GIS: Influences of Different Data-Based Models and Connections between Collapses and Environmental Factors. - Wenbin Li; Xuanmei Fan; Faming Huang; Wei Chen 051; Haoyuan Hong; Jinsong Huang; Zizheng Guo (Remote. Sens., 2020)

Potential of Ensemble Learning to Improve Tree-Based Classifiers for Landslide Susceptibility Mapping. - Jiahui Song; Yi Wang 021; Zhice Fang; Ling Peng; Haoyuan Hong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping. - Zhice Fang; Yi Wang 021; Ling Peng; Haoyuan Hong (Int. J. Geogr. Inf. Sci., 2021)

Landslide Susceptibility Prediction Using Sparse Feature Extraction and Machine Learning Models Based on GIS and Remote Sensing. - Li Zhu; Gongjian Wang; Faming Huang; Yan Li 120; Wei Chen 051; Haoyuan Hong (IEEE Geosci. Remote. Sens. Lett., 2022)

Applying a 1D Convolutional Neural Network in Flood Susceptibility Assessments - The Case of the Island of Euboea, Greece. - Paraskevas Tsangaratos; Ioanna Ilia; Aikaterini-Alexandra Chrysafi; Ioannis Matiatos; Wei Chen 051; Haoyuan Hong (Remote. Sens., 2023)

Landslide susceptibility mapping based on the reliability of landslide and non-landslide sample. - Haoyuan Hong; Desheng Wang; A-Xing Zhu; Yi Wang 021 (Expert Syst. Appl., 2024)

Landslide susceptibility assessment using locally weighted learning integrated with machine learning algorithms. - Haoyuan Hong (Expert Syst. Appl., 2024)