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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

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Showing 1-25 of 259 citing articles:

Global fatal landslide occurrence from 2004 to 2016
Melanie Froude, David N. Petley
Natural hazards and earth system sciences (2018) Vol. 18, Iss. 8, pp. 2161-2181
Open Access | Times Cited: 1594
Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping
Faming Huang, Zhongshan Cao, Jianfei Guo, et al.
CATENA (2020) Vol. 191, pp. 104580-104580
Closed Access | Times Cited: 389
A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction
Faming Huang, Jing Zhang, Chuangbing Zhou, et al.
Landslides (2019) Vol. 17, Iss. 1, pp. 217-229
Closed Access | Times Cited: 384
Application of time series analysis and PSO–SVM model in predicting the Bazimen landslide in the Three Gorges Reservoir, China
Chao Zhou, Kunlong Yin, Ying Cao, et al.
Engineering Geology (2016) Vol. 204, pp. 108-120
Closed Access | Times Cited: 309
Landslide susceptibility evaluation and hazard zonation techniques – a review
Leulalem Shano, Tarun Kumar Raghuvanshi, Matebie Meten
Geoenvironmental Disasters (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 244
Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models
Zhilu Chang, Zhen Du, Fan Zhang, et al.
Remote Sensing (2020) Vol. 12, Iss. 3, pp. 502-502
Open Access | Times Cited: 238
Optimization of Causative Factors for Landslide Susceptibility Evaluation Using Remote Sensing and GIS Data in Parts of Niigata, Japan
Jie Dou, Dieu Tien Bui, Ali P. Yunus, et al.
PLoS ONE (2015) Vol. 10, Iss. 7, pp. e0133262-e0133262
Open Access | Times Cited: 225
Analysis and evaluation of landslide susceptibility: a review on articles published during 2005–2016 (periods of 2005–2012 and 2013–2016)
Hamid Reza Pourghasemi, Zeinab Teimoori Yansari, Panos Panagos, et al.
Arabian Journal of Geosciences (2018) Vol. 11, Iss. 9
Closed Access | Times Cited: 224
Machine learning ensemble modelling as a tool to improve landslide susceptibility mapping reliability
Mariano Di Napoli, Francesco Carotenuto, Andrea Cevasco, et al.
Landslides (2020) Vol. 17, Iss. 8, pp. 1897-1914
Closed Access | Times Cited: 208
A modified frequency ratio method for landslide susceptibility assessment
Langping Li, Hengxing Lan, Changbao Guo, et al.
Landslides (2016) Vol. 14, Iss. 2, pp. 727-741
Closed Access | Times Cited: 187
Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management
Zizheng Guo, Yu Shi, Faming Huang, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 6, pp. 101249-101249
Open Access | Times Cited: 180
Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future
Saeid Janizadeh, Subodh Chandra Pal, Asish Saha, et al.
Journal of Environmental Management (2021) Vol. 298, pp. 113551-113551
Open Access | Times Cited: 128
National-scale data-driven rainfall induced landslide susceptibility mapping for China by accounting for incomplete landslide data
Qigen Lin, Pedro Lima, Stefan Steger, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 6, pp. 101248-101248
Open Access | Times Cited: 125
Landslide susceptibility prediction considering land use change and human activity: A case study under rapid urban expansion and afforestation in China
Hanxiang Xiong, Chuanming Ma, Minghong Li, et al.
The Science of The Total Environment (2023) Vol. 866, pp. 161430-161430
Closed Access | Times Cited: 53
Susceptibility mapping of shallow landslides using kernel-based Gaussian process, support vector machines and logistic regression
İsmail Çölkesen, Emrehan Kutluğ Şahin, Taşkın Kavzoğlu
Journal of African Earth Sciences (2016) Vol. 118, pp. 53-64
Closed Access | Times Cited: 162
Physical Flood Vulnerability Mapping Applying Geospatial Techniques in Okazaki City, Aichi Prefecture, Japan
Andi Besse Rimba, Martiwi Diah Setiawati, Abu Bakar Sambah, et al.
Urban Science (2017) Vol. 1, Iss. 1, pp. 7-7
Open Access | Times Cited: 148
Landslide susceptibility mapping using GIS and weighted overlay method: a case study from NW Himalayas, Pakistan
Muhammad Basharat, Hamid Raza Shah, Nasir Hameed
Arabian Journal of Geosciences (2016) Vol. 9, Iss. 4
Closed Access | Times Cited: 138
A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China)
Haoyuan Hong, Junzhi Liu, A‐Xing Zhu, et al.
Environmental Earth Sciences (2017) Vol. 76, Iss. 19
Open Access | Times Cited: 137
Assessing drought vulnerability using geospatial techniques in northwestern part of Bangladesh
Muhammad Al-Amin Hoque, Biswajeet Pradhan, Naser Ahmed
The Science of The Total Environment (2019) Vol. 705, pp. 135957-135957
Open Access | Times Cited: 129
GIS-based spatial prediction of landslide susceptibility using frequency ratio model of Lachung River basin, North Sikkim, India
Subodh Chandra Pal, Indrajit Chowdhuri
SN Applied Sciences (2019) Vol. 1, Iss. 5
Open Access | Times Cited: 125
Landslide Susceptibility Assessment Using Spatial Multi-Criteria Evaluation Model in Rwanda
Jean Baptiste Nsengiyumva, Geping Luo, Lamek Nahayo, et al.
International Journal of Environmental Research and Public Health (2018) Vol. 15, Iss. 2, pp. 243-243
Open Access | Times Cited: 124
Landslide susceptibility mapping by using a geographic information system (GIS) along the China–Pakistan Economic Corridor (Karakoram Highway), Pakistan
Sajid Ali, Peter Biermanns, Rashid Haider, et al.
Natural hazards and earth system sciences (2019) Vol. 19, Iss. 5, pp. 999-1022
Open Access | Times Cited: 121
Potential flood hazard zonation and flood shelter suitability mapping for disaster risk mitigation in Bangladesh using geospatial technology
Kabir Uddin, Mir A. Matin
Progress in Disaster Science (2021) Vol. 11, pp. 100185-100185
Open Access | Times Cited: 104
Landslide hazard zonation mapping using multi-criteria analysis with the help of GIS techniques: a case study from Eastern Himalayas, Namchi, South Sikkim
Amit Bera, Bhabani Prasad Mukhopadhyay, D. Das
Natural Hazards (2019) Vol. 96, Iss. 2, pp. 935-959
Closed Access | Times Cited: 102
Disaster risk governance for district-level landslide risk management in Bangladesh
Edris Alam, Nibedita S. Ray‐Bennett
International Journal of Disaster Risk Reduction (2021) Vol. 59, pp. 102220-102220
Open Access | Times Cited: 102
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