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OpenAlex Citation Counts

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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.

Requested Article:

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: 91

Showing 1-25 of 91 citing articles:

Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey
Moziihrii Ado, Khwairakpam Amitab, Arnab Kumar Maji, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3029-3029
Open Access | Times Cited: 100
Multi-hazard susceptibility mapping based on Convolutional Neural Networks
Kashif Ullah, Yi Wang, Zhice Fang, et al.
Geoscience Frontiers (2022) Vol. 13, Iss. 5, pp. 101425-101425
Open Access | Times Cited: 78
Forest fire susceptibility mapping with sensitivity and uncertainty analysis using machine learning and deep learning algorithms
Mohd Rihan, Ahmed Ali Bindajam, Swapan Talukdar, et al.
Advances in Space Research (2023) Vol. 72, Iss. 2, pp. 426-443
Closed Access | Times Cited: 45
Applications of Artificial Intelligence Algorithms in the Energy Sector
Hubert Szczepaniuk, Edyta Karolina Szczepaniuk
Energies (2022) Vol. 16, Iss. 1, pp. 347-347
Open Access | Times Cited: 42
Refined landslide susceptibility analysis based on InSAR technology and UAV multi-source data
Chen Cao, Kuanxing Zhu, Peihua Xu, et al.
Journal of Cleaner Production (2022) Vol. 368, pp. 133146-133146
Closed Access | Times Cited: 41
Hybridizing genetic random forest and self-attention based CNN-LSTM algorithms for landslide susceptibility mapping in Darjiling and Kurseong, India
Armin Moghimi, Chiranjit Singha, Mahdiyeh Fathi, et al.
Quaternary Science Advances (2024) Vol. 14, pp. 100187-100187
Open Access | Times Cited: 9
Refined landslide susceptibility mapping in township area using ensemble machine learning method under dataset replenishment strategy
Fancheng Zhao, Fasheng Miao, Yiping Wu, et al.
Gondwana Research (2024) Vol. 131, pp. 20-37
Closed Access | Times Cited: 8
Landslide Assessment Classification Using Deep Neural Networks Based on Climate and Geospatial Data
Yadviga Tynchenko, В В Кукарцев, В С Тынченко, et al.
Sustainability (2024) Vol. 16, Iss. 16, pp. 7063-7063
Open Access | Times Cited: 8
Application of Tree-Based Ensemble Models to Landslide Susceptibility Mapping: A Comparative Study
Aihua Wei, Kaining Yu, Fenggang Dai, et al.
Sustainability (2022) Vol. 14, Iss. 10, pp. 6330-6330
Open Access | Times Cited: 33
Evaluation of neural network models for landslide susceptibility assessment
Yaning Yi, Wanchang Zhang, Xiwei Xu, et al.
International Journal of Digital Earth (2022) Vol. 15, Iss. 1, pp. 934-953
Open Access | Times Cited: 32
Monitoring and prediction of landslide-related deformation based on the GCN-LSTM algorithm and SAR imagery
Mohammad Amin Khalili, Luigi Guerriero, Mostafa Pouralizadeh, et al.
Natural Hazards (2023) Vol. 119, Iss. 1, pp. 39-68
Open Access | Times Cited: 20
Contribution and behavioral assessment of physical and anthropogenic factors for soil erosion using integrated deep learning and game theory
Ishita Afreen Ahmed, Swapan Talukdar, Abu Reza Md. Towfiqul Islam, et al.
Journal of Cleaner Production (2023) Vol. 416, pp. 137689-137689
Closed Access | Times Cited: 16
Refined Landslide Susceptibility Mapping by Integrating the SHAP-CatBoost Model and InSAR Observations: A Case Study of Lishui, Southern China
Zhaowei Yao, Meihong Chen, Jiewei Zhan, et al.
Applied Sciences (2023) Vol. 13, Iss. 23, pp. 12817-12817
Open Access | Times Cited: 16
Landslide risk assessment integrating susceptibility, hazard, and vulnerability analysis in Northern Pakistan
Hilal Ahmad, Mehtab Alam, Yinghua Zhang, et al.
Deleted Journal (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 5
Swarm optimization based heterogeneous machine learning techniques for enhanced landslide susceptibility assessment with comprehensive uncertainty quantification
Sumon Dey, Swarup Das
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access
Comparison of conditioning factor classification criteria in large-scale statistically based landslide susceptibility models
Marko Sinčić, Sanja Bernat Gazibara, Mauro Rossi, et al.
Natural hazards and earth system sciences (2025) Vol. 25, Iss. 1, pp. 183-206
Open Access
Comparison of LSTM and QR models for predicting CPUE of albacore tuna in waters near the Cook Islands
Hui Xu, Liming Song, Yuwei Li, et al.
Fisheries Science (2025)
Closed Access
Investigating the efficacy of physics-based metaheuristic algorithms in combination with explainable ensemble machine-learning models for landslide susceptibility mapping
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Rizwan Ali Naqvi, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework
Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Comprehensive review of remote sensing integration with deep learning in landslide forecasting and future directions
Nilesh Suresh Pawar, Kul Vaibhav Sharma
Natural Hazards (2025)
Closed Access
Pixel-Wise Feature Fusion in Gully Susceptibility: A Comparison of Feed-Forward Neural Networks and Ensemble (Voting, Stacking) Models
Vincent E. Nwazelibe, Johnson C. Agbasi, Daniel A. Ayejoto, et al.
Journal of African Earth Sciences (2025), pp. 105633-105633
Open Access
Landslide Susceptibility Mapping Using Machine Learning: A Danish Case Study
Angelina Ageenko, Lærke Christina Hansen, Kevin Lundholm Lyng, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 6, pp. 324-324
Open Access | Times Cited: 22
Landslide susceptibility mapping based on landslide classification and improved convolutional neural networks
Han Zhang, Chao Yin, Shaoping Wang, et al.
Natural Hazards (2022)
Closed Access | Times Cited: 22
Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities
Jing Jia, Wenjie Ye
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4098-4098
Open Access | Times Cited: 14
A Combination of Deep Autoencoder and Multi-Scale Residual Network for Landslide Susceptibility Evaluation
Zhuolu Wang, Shenghua Xu, Jiping Liu, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 653-653
Open Access | Times Cited: 13
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