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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:

Prediction of safety factors for slope stability: comparison of machine learning techniques
Arsalan Mahmoodzadeh, Mokhtar Mohammadi, Hunar Farid Hama Ali, et al.
Natural Hazards (2021) Vol. 111, Iss. 2, pp. 1771-1799
Closed Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Comparison of machine learning algorithms for slope stability prediction using an automated machine learning approach
Талас Фикрет Курназ, Caner Erden, Угур Дагдевирен, et al.
Natural Hazards (2024) Vol. 120, Iss. 8, pp. 6991-7014
Closed Access | Times Cited: 15
Reliability of Information-Theoretic Displacement Detection and Risk Classification for Enhanced Slope Stability and Safety at Highway Construction Sites
Odey Alshboul, Ali Shehadeh, Ghassan Almasabha
Reliability Engineering & System Safety (2025), pp. 110813-110813
Closed Access | Times Cited: 1
Landslide risk prediction by using GBRT algorithm: Application of artificial intelligence in disaster prevention of energy mining
Song Jiang, JinYuan Li, Sai Zhang, et al.
Process Safety and Environmental Protection (2022) Vol. 166, pp. 384-392
Closed Access | Times Cited: 45
Applying Knowledge-Guided Machine Learning to Slope Stability Prediction
Te Pei, Tong Qiu, Chaopeng Shen
Journal of Geotechnical and Geoenvironmental Engineering (2023) Vol. 149, Iss. 10
Closed Access | Times Cited: 26
An explainable artificial-intelligence-aided safety factor prediction of road embankments
Azam Abdollahi, Deli Li, Jian Deng, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108854-108854
Open Access | Times Cited: 12
Application of KNN-based isometric mapping and fuzzy c-means algorithm to predict short-term rockburst risk in deep underground projects
Muhammad Kamran, Barkat Ullah, Mahmood Ahmad, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 36
Rock Strength Estimation Using Several Tree-Based ML Techniques
Zida Liu, Danial Jahed Armaghani, Pouyan Fakharian, et al.
Computer Modeling in Engineering & Sciences (2022) Vol. 133, Iss. 3, pp. 799-824
Open Access | Times Cited: 32
Application of Soft Computing Techniques for Slope Stability Analysis
Rashid Mustafa, Akash Kumar, Sonu Kumar, et al.
Transportation Infrastructure Geotechnology (2024) Vol. 11, Iss. 6, pp. 3903-3940
Closed Access | Times Cited: 6
Predicting slope stability potential failure surface using machine learning algorithms
Myoung-Soo Won, Shamsher Sadiq, Jianbin Wang, et al.
Arabian Journal of Geosciences (2025) Vol. 18, Iss. 1
Closed Access
Rock Slope Stability Analysis Using Ensemble Decision Tree Approaches and Feature Importance Along an Economic Corridor in Central India
Nikhil Kumar Pandey, Kunal Gupta, Neelima Satyam
Physics and Chemistry of the Earth Parts A/B/C (2025), pp. 103868-103868
Closed Access
Interpretable artificial intelligence for advancing slope stability assessment techniques with Technosols
Jiazhou Li, Mengjie Huang, M Ma, et al.
Soil Use and Management (2025) Vol. 41, Iss. 1
Closed Access
Prediction of factor of safety of slopes using stochastically modified ANN and classical methods: a rigorous statistical model selection approach
Abiodun Ismail Lawal, Shahab Hosseini, Minju Kim, et al.
Natural Hazards (2023) Vol. 120, Iss. 2, pp. 2035-2056
Closed Access | Times Cited: 13
Stability factor prediction of multilayer slope using three-dimensional convolutional neural network based on digital twin and prior knowledge data
Mansheng Lin, Gongfa Chen, Bo Hu, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 8
Closed Access | Times Cited: 4
Stability prediction of multi-material complex slopes based on self-attention convolutional neural networks
Mansheng Lin, Xuedi Chen, Gongfa Chen, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 4
Geotechnical Characterization and Stability Prediction of Nano-Silica-Stabilized Slopes: A Machine Learning Approach to Mitigating Geological Hazards
Ishwor Thapa, Sufyan Ghani, Sunita Kumari, et al.
Transportation Infrastructure Geotechnology (2025) Vol. 12, Iss. 2
Open Access
Evaluating the slope behavior for geophysical flow prediction with advanced machine learning combinations
Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A critical performance assessment of the machine learning algorithms for slope stability analysis
Satyam Tiwari, Sarat Kumar Das, Madhumita Mohanty
Neural Computing and Applications (2025)
Closed Access
Application of machine learning in early warning system of geotechnical disaster: a systematic and comprehensive review
Shan Lin, Zenglong Liang, Hongwei Guo, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
Machine learning algorithm facilitates fast derivation of light-scattering properties of sea salt aerosol
Quan Lin, Bingqi Yi, Lei Bi, et al.
Journal of Aerosol Science (2025), pp. 106571-106571
Closed Access
Slope Stability Evaluation and Prediction Based on KTAN Coupling Model and Monte Carlo method
Fei Yu, Xiaoqiang Zhang, Shunchuan Wu, et al.
Journal of Computational Science (2025), pp. 102580-102580
Closed Access
Slope stability prediction based on IPOARF algorithm: A case study of Lala Copper Mine, Sichuan, China
Mingliang Li, Kegang Li, Qingci Qin, et al.
Expert Systems with Applications (2023) Vol. 229, pp. 120595-120595
Closed Access | Times Cited: 11
Slope Stability Prediction Using k-NN-Based Optimum-Path Forest Approach
Leilei Liu, Guoyan Zhao, Weizhang Liang
Mathematics (2023) Vol. 11, Iss. 14, pp. 3071-3071
Open Access | Times Cited: 11
Optimizing nailing parameters for hybrid retaining systems using supervised learning regression models
Varun Menon, Sreevalsa Kolathayar
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 4683-4698
Closed Access | Times Cited: 3
Evaluation of empirical and machine learning models for predicting shear wave velocity of granular soils based on laboratory element tests
Zohreh Mousavi, Meysam Bayat, Jun Yang, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 183, pp. 108805-108805
Closed Access | Times Cited: 3
Slope Stability Prediction Using Principal Component Analysis and Hybrid Machine Learning Approaches
Daxing Lei, Yaoping Zhang, Zhigang Lu, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6526-6526
Open Access | Times Cited: 3
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