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:

Physics-informed optimization for a data-driven approach in landslide susceptibility evaluation
Songlin Liu, Luqi Wang, Wengang Zhang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 8, pp. 3192-3205
Open Access | Times Cited: 20

Showing 20 citing articles:

ANN-based swarm intelligence for predicting expansive soil swell pressure and compression strength
Fazal E. Jalal, Mudassir Iqbal, Waseem Akhtar Khan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 28

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

A hybrid data-driven approach for rainfall-induced landslide susceptibility mapping: Physically-based probabilistic model with convolutional neural network
Hongzhi Cui, Bin Tong, Tao Wang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 6

Impact of sampling for landslide susceptibility assessment using interpretable machine learning models
Bin Wu, Zhenming Shi, Hongchao Zheng, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 11
Closed Access | Times Cited: 6

A physics-informed machine learning solution for landslide susceptibility mapping based on three-dimensional slope stability evaluation
Yunhao Wang, Luqi Wang, Wengang Zhang, et al.
Journal of Central South University (2024)
Closed Access | Times Cited: 4

Bayesian ensemble learning and Shapley additive explanations for fast estimation of slope stability with a physics-informed database
Dongze Lei, Junwei Ma, Guangcheng Zhang, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 4

Short-Sequence Machine Learning Framework for Predicting Constitutive Relationships of Sand
Xiangchen Yao, Shuqi Ma, Bo Li, et al.
Geotechnical and Geological Engineering (2025) Vol. 43, Iss. 2
Closed Access

Reliability Analysis of External Stabilities of Reinforced Soil Wall Using Monte Carlo Simulation and an Efficient Hybrid Artificial Neural Network Paradigm
Sudeep Kumar, Avijit Burman
Transportation Infrastructure Geotechnology (2025) Vol. 12, Iss. 1
Closed Access

Synergistic evolution of hydrological and movement characteristics of Majiagou landslide and identification of key triggering factors through interpretable machine learning
Wenmin Yao, Xin Zhang, Changdong Li, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 2
Closed Access

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

Experimental and Computational Response of Relative Density of Soil of Katihar, India
Rashid Mustafa
Indian geotechnical journal (2025)
Closed Access

PSInSAR-Based Time-Series Coastal Deformation Estimation Using Sentinel-1 Data
Muhammad Ali, Alessandra Budillon, Zeeshan Afzal, et al.
Land (2025) Vol. 14, Iss. 3, pp. 536-536
Open Access

Multiscale progressive 3D geological modeling based on isochronous stratigraphy identification in urban underground space
You Zhang, He Lingling, Yu‐Yong Jiao, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 4
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

Risk Analysis of Pile Foundations Using an Improved Hybrid Ensemble Paradigm Coupled with Monte Carlo and Subset Simulations
Subodh Kumar Suman, Shiva Shankar Choudhary, Avijit Burman
Transportation Infrastructure Geotechnology (2025) Vol. 12, Iss. 4
Closed Access

Neural Network-Based Prediction of Amplification Factors for Nonlinear Soil Behaviour: Insights into Site Proxies
Ahmed Boudghene Stambouli, Lotfi Guizani
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3618-3618
Open Access

Developing advanced datadriven framework to predict the bearing capacity of piles on rock
Kennedy C. Onyelowe, Shadi Hanandeh, Viroon Kamchoom‬, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Exploring time series models for landslide prediction: a literature review
Kyrillos M. P. Ebrahim, Ali Fares, Nour Faris, et al.
Geoenvironmental Disasters (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1

Spatial patterns of landslides in a modest topography of the Ozark and Ouachita Mountains, USA
Netra R. Regmi, J. I. Walter, Junle Jiang, et al.
CATENA (2024) Vol. 245, pp. 108344-108344
Closed Access

Predisposition to Mass Movements on Railway Slopes: Insights from Field Data on Geotechnical and Pluviometric Influences
Priscila Celebrini de Oliveira Campos, Diego Leonardo Rosa, Maria Esther Soares Marques, et al.
Infrastructures (2024) Vol. 9, Iss. 10, pp. 168-168
Open Access

Multi-relation spatiotemporal graph residual network model with multi-level feature attention: A novel approach for landslide displacement prediction
Ziqian Wang, Xiangwei Fang, Wengang Zhang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access

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