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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:

Deep learning methods for time-dependent reliability analysis of reservoir slopes in spatially variable soils
Lin Wang, Chongzhi Wu, Zhiyong Yang, et al.
Computers and Geotechnics (2023) Vol. 159, pp. 105413-105413
Closed Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

Step-like displacement prediction and failure mechanism analysis of slow-moving reservoir landslide
Kanglei Song, Haiqing Yang, Dan Liang, et al.
Journal of Hydrology (2023) Vol. 628, pp. 130588-130588
Closed Access | Times Cited: 55
A data-driven method to model stress-strain behaviour of frozen soil considering uncertainty
Kai-Qi Li, Zhen‐Yu Yin, Ning Zhang, et al.
Cold Regions Science and Technology (2023) Vol. 213, pp. 103906-103906
Closed Access | Times Cited: 40
A novel creep contact model for rock and its implement in discrete element simulation
Wengang Zhang, S. Y. Lin, Luqi Wang, et al.
Computers and Geotechnics (2024) Vol. 167, pp. 106054-106054
Closed Access | Times Cited: 24
A novel deep learning framework for landslide susceptibility assessment using improved deep belief networks with the intelligent optimization algorithm
Shaoqiang Meng, Zhenming Shi, Gang Li, et al.
Computers and Geotechnics (2024) Vol. 167, pp. 106106-106106
Closed Access | Times Cited: 22
Enhancing landslide susceptibility mapping incorporating landslide typology via stacking ensemble machine learning in Three Gorges Reservoir, China
Lanbing Yu, Yang Wang, Biswajeet Pradhan
Geoscience Frontiers (2024) Vol. 15, Iss. 4, pp. 101802-101802
Open Access | Times Cited: 20
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
Improving pixel-based regional landslide susceptibility mapping
Xin Wei, Paolo Gardoni, Lulu Zhang, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 4, pp. 101782-101782
Open Access | Times Cited: 17
Time series prediction of reservoir bank landslide failure probability considering the spatial variability of soil properties
Luqi Wang, Lin Wang, Wengang Zhang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 10, pp. 3951-3960
Open Access | Times Cited: 16
Laboratory investigation and theoretical analysis of lateral pressure exerted by expansive soils on retaining walls with expanded polystyrene geofoam block upon water infiltration
Kewei Fan, Wei-lie Zou, Pan Zhang, et al.
Geotextiles and Geomembranes (2023) Vol. 52, Iss. 3, pp. 332-341
Closed Access | Times Cited: 29
Vision-based size distribution analysis of rock fragments using multi-modal deep learning and interactive annotation
Yudi Tang, Yulin Wang, Guangyao Si
Automation in Construction (2024) Vol. 159, pp. 105276-105276
Open Access | Times Cited: 9
A new early warning criterion for landslides movement assessment: Deformation Standardized Anomaly Index
Junrong Zhang, Huiming Tang, Biying Zhou, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 5
Closed Access | Times Cited: 9
A graph deep learning method for landslide displacement prediction based on global navigation satellite system positioning
Chuan Yang, Yue Yin, Jiantong Zhang, et al.
Geoscience Frontiers (2023) Vol. 15, Iss. 1, pp. 101690-101690
Open Access | Times Cited: 20
A comparative study of regional landslide susceptibility mapping with multiple machine learning models
Yunhao Wang, Luqi Wang, Songlin Liu, et al.
Geological Journal (2023) Vol. 59, Iss. 9, pp. 2383-2400
Closed Access | Times Cited: 18
Modeling the Mechanical Response of Cement-Admixed Clay Under Different Stress Paths Using Recurrent Neural Networks
Chana Phutthananon, Praiya Ratanakijkul, Sompote Youwai, et al.
International Journal of Geosynthetics and Ground Engineering (2024) Vol. 10, Iss. 2
Closed Access | Times Cited: 6
Slope stability analysis with a hypoplastic constitutive model: Investigating a stochastic anisotropy model and a hydro‐mechanical coupled simulation
Yang Xue, Fasheng Miao, Shun Wang, et al.
International Journal for Numerical and Analytical Methods in Geomechanics (2024) Vol. 48, Iss. 7, pp. 1846-1863
Closed Access | Times Cited: 5
Deformation Mechanism of Large‐Scale Ancient Reservoir Landslides Driven by the Monitoring Data and Numerical Simulation
Huiwen Deng, Wengang Zhang, Luqi Wang, et al.
Geological Journal (2025)
Closed Access
Deep Learning for Time Series Forecasting: Review and Applications in Geotechnics and Geosciences
Farid Fazel Mojtahedi, Negin Yousefpour, Shiao Huey Chow, et al.
Archives of Computational Methods in Engineering (2025)
Open Access
Enhanced slope stability prediction using ensemble machine learning techniques
Devendra Kumar Yadav, Swarup Chattopadhyay, Debi Prasad Tripathy, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Exploring U-Net Deep Learning Model for Landslide Detection Using Optical Imagery, Geo-indices, and SAR Data in a Data Scarce Tropical Mountain Region
Johnny Alexánder Vega, Sebastián Palomino‐Ángel, César Augusto Hidalgo Montoya
PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science (2025)
Closed Access
Spatiotemporal deformation characteristics of Outang landslide and identification of triggering factors using data mining
Beibei Yang, Zhongqiang Liu, Suzanne Lacasse, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 10, pp. 4088-4104
Open Access | Times Cited: 4
Characterizing anisotropic spatial variations of uncertain mechanical parameters for clay layer using incomplete probability data
Tao Wang, Jiazeng Cao, Jie Liu, et al.
Probabilistic Engineering Mechanics (2024) Vol. 76, pp. 103623-103623
Closed Access | Times Cited: 4
Predicting the strut forces of the steel supporting structure of deep excavation considering various factors by machine learning methods
Haibo Hu, Xunjian Hu, Xiaonan Gong
Underground Space (2024) Vol. 18, pp. 114-129
Open Access | Times Cited: 4
A deep transfer learning model for the deformation of braced excavations with limited monitoring data
Yuanqin Tao, Shaoxiang Zeng, Tiantian Ying, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 4
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
Dynamic intelligent prediction approach for landslide displacement based on biological growth models and CNN-LSTM
Ziqian Wang, Xiangwei Fang, Wengang Zhang, et al.
Journal of Mountain Science (2025) Vol. 22, Iss. 1, pp. 71-88
Closed Access
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