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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:

Interpretable data-driven constitutive modelling of soils with sparse data
Pin Zhang, Zhen‐Yu Yin, Brian Sheil
Computers and Geotechnics (2023) Vol. 160, pp. 105511-105511
Closed Access | Times Cited: 23

Showing 23 citing articles:

Physics-Informed neural network solver for numerical analysis in geoengineering
Xiaoxuan Chen, Pin Zhang, Zhen‐Yu Yin
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024) Vol. 18, Iss. 1, pp. 33-51
Open Access | Times Cited: 9
State-of-the-art review on the use of AI-enhanced computational mechanics in geotechnical engineering
Hongchen Liu, Huaizhi Su, Lizhi Sun, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 5
Tensor-based physics-encoded neural networks for modeling constitutive behavior of soil
Zhihui Wang, Roberto Cudmani, Andrés Alfonso Peña Olarte
Computers and Geotechnics (2024) Vol. 170, pp. 106173-106173
Open Access | Times Cited: 5
Multifidelity-based Gaussian process for quasi-site-specific probabilistic prediction of soil properties
Geng‐Fu He, Pin Zhang, Zhen‐Yu Yin, et al.
Canadian Geotechnical Journal (2024) Vol. 61, Iss. 10, pp. 2304-2322
Closed Access | Times Cited: 5
Reconstructing unsaturated infiltration behavior with sparse data via physics-informed deep learning
Peng Lan, Jing-Jing Su, Shuairun Zhu, et al.
Computers and Geotechnics (2024) Vol. 168, pp. 106162-106162
Closed 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
Hybrid physics and data-driven method for predicting existing tunnel lining deformation in twin tunnels construction
Xing‐Tao Lin, R. H. Chen, Xiangsheng Chen, et al.
Computers and Geotechnics (2025) Vol. 179, pp. 107019-107019
Closed Access
Automatic determination of 3D particle morphology from multiview images using uncertainty‐evaluated deep learning
Hongchen Liu, Huaizhi Su, Brian Sheil
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access
t-PiNet: A Thermodynamics-informed Hierarchical Learning for Discovering Constitutive Relations of Geomaterials
Pin Zhang, Konstantinos Karapiperis, Oliver Weeger
Journal of the Mechanics and Physics of Solids (2025), pp. 106049-106049
Closed Access
Discovering Constitutive Models for Clay Through Physical-Guided Symbolic Regression
Su Chen, Yi Zhu, Suyang Wang, et al.
(2025)
Closed Access
A Comprehensive Investigation of Physics-Informed Learning in Forward and Inverse Analysis of Elastic and Elastoplastic Footing
Xiaoxuan Chen, Pin Zhang, Zhen‐Yu Yin
Computers and Geotechnics (2025) Vol. 181, pp. 107110-107110
Closed Access
Optimal selection of dictionary atoms for sparse dictionary learning of time-varying monitoring data in two-dimensional geotechnical problems
Hua-Ming Tian, Yu Wang
Computers and Geotechnics (2023) Vol. 165, pp. 105953-105953
Open Access | Times Cited: 12
Interpretable machine learning for selection of site-specific soil constitutive models and consolidation settlement analysis
Hua-Ming Tian, Yu Wang
Computers and Geotechnics (2024) Vol. 171, pp. 106396-106396
Closed Access | Times Cited: 2
Practical Approach for Data-Efficient Metamodeling and Real-Time Modeling of Monopiles Using Physics-Informed Multifidelity Data Fusion
Stephen K. Suryasentana, Brian Sheil, Bruno Stuyts
Journal of Geotechnical and Geoenvironmental Engineering (2024) Vol. 150, Iss. 8
Open Access | Times Cited: 2
Artificial intelligence driven tunneling-induced surface settlement prediction
Ming Song, Minghui Yang, Guiqing Yao, et al.
Automation in Construction (2024) Vol. 168, pp. 105819-105819
Closed Access | Times Cited: 2
Study on Influencing Factors and Prediction of Tunnel Floor Heave in Gently Inclined Thin-Layered Rock Mass
Rong Fan, Tielin Chen, Shunyu Wang, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7701-7701
Open Access | Times Cited: 1
Pore pressure prediction based on conventional well logs and seismic data using an advanced machine learning approach
Muhsan Ehsan, Umar Manzoor, Rujun Chen, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 1
Shaping the future of tunneling with data and emerging technologies
Dayu Apoji, Brian Sheil, Kenichi Soga
Data-Centric Engineering (2023) Vol. 4
Open Access | Times Cited: 2
A Novel Consolidation Analysis Framework: Universal Function Approximators Regularized by Physical Principles
Pin Zhang, Brian Sheil, Mark Girolami, et al.
Canadian Geotechnical Journal (2024)
Closed Access
Data-driven mechanical behavior modeling of granular biomass materials
Xuyang Li, Wencheng Jin, Jordan Klinger, et al.
Computers and Geotechnics (2024) Vol. 177, pp. 106907-106907
Closed Access
Prediction of mud cake formation for shield tunneling based on cutterhead opening parameters
Xuening Rong, Nannan Wang, Aimin Han, et al.
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access
Analysis of the Vertical Dynamic Response of SDCM Piles in Coastal Areas
Yeyu Yan, Hongbo Liu, Guoliang Dai, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 11, pp. 1950-1950
Open Access
Discovering Constitutive Models for Clay Through Physical-Guided Symbolic Regression
Su Chen, Yi Zhu, Suyang Wang, et al.
(2024)
Closed Access
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