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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 155 citing articles:

Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia
Ahmed M. Youssef, Hamid Reza Pourghasemi
Geoscience Frontiers (2020) Vol. 12, Iss. 2, pp. 639-655
Open Access | Times Cited: 336
How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?
Yacine Achour, Hamid Reza Pourghasemi
Geoscience Frontiers (2019) Vol. 11, Iss. 3, pp. 871-883
Open Access | Times Cited: 252
Comparative study of landslide susceptibility mapping with different recurrent neural networks
Yi Wang, Zhice Fang, Mao Wang, et al.
Computers & Geosciences (2020) Vol. 138, pp. 104445-104445
Closed Access | Times Cited: 230
Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms
Binh Thai Pham, Ataollah Shirzadi, Himan Shahabi, et al.
Sustainability (2019) Vol. 11, Iss. 16, pp. 4386-4386
Open Access | Times Cited: 168
Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models
Faming Huang, Ye Zhou, Shui‐Hua Jiang, et al.
CATENA (2021) Vol. 202, pp. 105250-105250
Closed Access | Times Cited: 112
Land use and land cover as a conditioning factor in landslide susceptibility: a literature review
Renata Pacheco Quevedo, Andrés Velástegui-Montoya, Néstor Montalván-Burbano, et al.
Landslides (2023) Vol. 20, Iss. 5, pp. 967-982
Open Access | Times Cited: 95
Landslide Susceptibility Mapping with Deep Learning Algorithms
Jules Maurice Habumugisha, Ningsheng Chen, Mahfuzur Rahman, et al.
Sustainability (2022) Vol. 14, Iss. 3, pp. 1734-1734
Open Access | Times Cited: 94
Spatial landslide susceptibility assessment using machine learning techniques assisted by additional data created with generative adversarial networks
Husam A. H. Al-Najjar, Biswajeet Pradhan
Geoscience Frontiers (2020) Vol. 12, Iss. 2, pp. 625-637
Open Access | Times Cited: 139
Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?
Binh Thai Pham, Chinh Luu, Tran Van Phong, et al.
Journal of Hydrology (2020) Vol. 592, pp. 125615-125615
Closed Access | Times Cited: 120
PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches
Omid Rahmati, Aiding Kornejady, Mahmood Samadi, et al.
The Science of The Total Environment (2019) Vol. 664, pp. 296-311
Open Access | Times Cited: 97
Integrating multicriteria decision-making analysis for a GIS-based settlement area in the district of Atakum, Samsun, Turkey
Cem Kılıçoğlu, Mehmet Çetin, Burak Arıcak, et al.
Theoretical and Applied Climatology (2020) Vol. 143, Iss. 1-2, pp. 379-388
Closed Access | Times Cited: 97
A novel risk evaluation method for fire and explosion accidents in oil depots using bow-tie analysis and risk matrix analysis method based on cloud model theory
Shuyi Xie, Shaohua Dong, Yinuo Chen, et al.
Reliability Engineering & System Safety (2021) Vol. 215, pp. 107791-107791
Closed Access | Times Cited: 83
Optimizing an Adaptive Neuro-Fuzzy Inference System for Spatial Prediction of Landslide Susceptibility Using Four State-of-the-art Metaheuristic Techniques
Mohammad Mehrabi, Biswajeet Pradhan, Hossein Moayedi, et al.
Sensors (2020) Vol. 20, Iss. 6, pp. 1723-1723
Open Access | Times Cited: 81
Landslide susceptibility and influencing factors analysis in Rwanda
Richard Mind’je, Lanhai Li, Jean Baptiste Nsengiyumva, et al.
Environment Development and Sustainability (2019) Vol. 22, Iss. 8, pp. 7985-8012
Closed Access | Times Cited: 80
Hybrid Computational Intelligence Methods for Landslide Susceptibility Mapping
Guirong Wang, Xinxiang Lei, Wei Chen, et al.
Symmetry (2020) Vol. 12, Iss. 3, pp. 325-325
Open Access | Times Cited: 76
Landslide Susceptibility Mapping Using Machine Learning Algorithm Validated by Persistent Scatterer In-SAR Technique
Muhammad Afaq Hussain, Zhanlong Chen, Ying Zheng, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3119-3119
Open Access | Times Cited: 61
Assessment of rainfall-induced landslide susceptibility in Artvin, Turkey using machine learning techniques
Halil Akıncı
Journal of African Earth Sciences (2022) Vol. 191, pp. 104535-104535
Closed Access | Times Cited: 41
Assessing landslide susceptibility based on hybrid Best-first decision tree with ensemble learning model
Haoyuan Hong
Ecological Indicators (2023) Vol. 147, pp. 109968-109968
Open Access | Times Cited: 39
Comparison of LiDAR- and UAV-derived data for landslide susceptibility mapping using Random Forest algorithm
Felicia França Pereira, Tatiana Sussel Gonçalves Mendes, Silvio Jorge Coelho Simões, et al.
Landslides (2023) Vol. 20, Iss. 3, pp. 579-600
Closed Access | Times Cited: 25
Comparative analysis of the TabNet algorithm and traditional machine learning algorithms for landslide susceptibility assessment in the Wanzhou Region of China
Song Yingze, Song Yingxu, Xin Zhang, et al.
Natural Hazards (2024) Vol. 120, Iss. 8, pp. 7627-7652
Closed Access | Times Cited: 10
Urban Flood Risk Analysis Using the SWAGU-Coupled Model and a Cloud-Enhanced Fuzzy Comprehensive Evaluation Method
Jinhui Hu, Chunyuan Deng, Xinyu Chang, et al.
Environmental Modelling & Software (2025), pp. 106461-106461
Closed Access | Times Cited: 1
Performance evaluation for four GIS-based models purposed to predict and map landslide susceptibility: A case study at a World Heritage site in Southwest China
Yuanmei Jiao, Dongmei Zhao, Yinping Ding, et al.
CATENA (2019) Vol. 183, pp. 104221-104221
Closed Access | Times Cited: 71
Convolutional Neural Network—Optimized Moth Flame Algorithm for Shallow Landslide Susceptible Analysis
Vu Pham, Quoc‐Huy Nguyen, Huu Duy Nguyen, et al.
IEEE Access (2020) Vol. 8, pp. 32727-32736
Open Access | Times Cited: 63
Sedimentological characteristics and application of machine learning techniques for landslide susceptibility modelling along the highway corridor Nahan to Rajgarh (Himachal Pradesh), India
Vijendra Kumar Pandey, Kaushal Kumar Sharma, Hamid Reza Pourghasemi, et al.
CATENA (2019) Vol. 182, pp. 104150-104150
Closed Access | Times Cited: 58
GIS-based landslide susceptibility mapping for a part of the North Anatolian Fault Zone between Reşadiye and Koyulhisar (Turkey)
Gökhan Demir
CATENA (2019) Vol. 183, pp. 104211-104211
Closed Access | Times Cited: 55
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