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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:

Physics-Informed Multifidelity Residual Neural Networks for Hydromechanical Modeling of Granular Soils and Foundation Considering Internal Erosion
Pin Zhang, Zhen‐Yu Yin, Yin‐Fu Jin, et al.
Journal of Engineering Mechanics (2022) Vol. 148, Iss. 4
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Physics-informed deep learning method for predicting tunnelling-induced ground deformations
Zilong Zhang, Qiujing Pan, Zihan Yang, et al.
Acta Geotechnica (2023) Vol. 18, Iss. 9, pp. 4957-4972
Closed Access | Times Cited: 50
A physics-informed deep neural network for surrogate modeling in classical elasto-plasticity
Mahdad Eghbalian, Mehdi Pouragha, Richard Wan
Computers and Geotechnics (2023) Vol. 159, pp. 105472-105472
Open Access | Times Cited: 40
Physics‐constrained hierarchical data‐driven modelling framework for complex path‐dependent behaviour of soils
Pin Zhang, Zhen‐Yu Yin, Yin‐Fu Jin, et al.
International Journal for Numerical and Analytical Methods in Geomechanics (2022) Vol. 46, Iss. 10, pp. 1831-1850
Closed Access | Times Cited: 37
An enhanced deep learning method for accurate and robust modelling of soil stress–strain response
Ning Zhang, Annan Zhou, Yin‐Fu Jin, et al.
Acta Geotechnica (2023) Vol. 18, Iss. 8, pp. 4405-4427
Closed Access | Times Cited: 34
Dynamic prediction for attitude and position of shield machine in tunneling: A hybrid deep learning method considering dual attention
Zeyu Dai, Peinan Li, Mengqi Zhu, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102032-102032
Closed Access | Times Cited: 28
Extensive overview of soil constitutive relations and applications for geotechnical engineering problems
Kennedy C. Onyelowe, Ahmed M. Ebid, Evangelin Ramani Sujatha, et al.
Heliyon (2023) Vol. 9, Iss. 3, pp. e14465-e14465
Open Access | Times Cited: 26
Physics-informed deep neural network for modeling the chloride diffusion in concrete
Wafaa Mohamed Shaban, Khalid Elbaz, Annan Zhou, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106691-106691
Closed Access | Times Cited: 26
Real time image-based air quality forecasts using a 3D-CNN approach with an attention mechanism
Khalid Elbaz, Wafaa Mohamed Shaban, Annan Zhou, et al.
Chemosphere (2023) Vol. 333, pp. 138867-138867
Closed Access | Times Cited: 23
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
Multifidelity Constitutive Modeling of Stress-Induced Anisotropic Behavior of Clay
Pin Zhang, Zhen‐Yu Yin, Brian Sheil
Journal of Geotechnical and Geoenvironmental Engineering (2024) Vol. 150, Iss. 3
Closed Access | Times Cited: 9
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
DEM-DFM modeling of suffusion in calcareous sands considering the effect of double-porosity
Tuo Wang, Pei Wang, Zhen‐Yu Yin, et al.
Computers and Geotechnics (2022) Vol. 151, pp. 104965-104965
Closed Access | Times Cited: 30
Finite element geotechnical analysis incorporating deep learning-based soil model
Qingzheng Guan, Z. X. Yang, Ning Guo, et al.
Computers and Geotechnics (2022) Vol. 154, pp. 105120-105120
Closed Access | Times Cited: 29
Data-driven hierarchical Bayesian model for predicting wall deflections in deep excavations in clay
Mohammad Tabarroki, Jianye Ching, Shih-Hsiang Yuan, et al.
Computers and Geotechnics (2024) Vol. 168, pp. 106135-106135
Closed Access | Times Cited: 7
The potential of a multi-fidelity residual neural network based optimizer to calibrate DEM parameters of rock-like bonded granular materials
Zhihao Zhou, Zhen‐Yu Yin, Geng‐Fu He, et al.
Computers and Geotechnics (2024) Vol. 168, pp. 106137-106137
Closed Access | Times Cited: 7
Physics-based self-adaptive algorithm for estimating the long-term performance of concrete shrinkage
Wafaa Mohamed Shaban, Shui‐Long Shen, Ayat Gamal Ashour, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109945-109945
Closed Access
Application of improved physics-informed neural networks for nonlinear consolidation problems with continuous drainage boundary conditions
Peng Lan, Jingjing Su, Xin-yan Ma, et al.
Acta Geotechnica (2023) Vol. 19, Iss. 1, pp. 495-508
Closed Access | Times Cited: 13
Physics-Informed Neural Networks for Settlement Analysis of the Immersed Tunnel of the Hong Kong–Zhuhai–Macau Bridge
Shu‐Yu He, Wan‐Huan Zhou, Cong Tang
International Journal of Geomechanics (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 12
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
Active learning inspired multi-fidelity probabilistic modelling of geomaterial property
Geng‐Fu He, Pin Zhang, Zhen‐Yu Yin
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 432, pp. 117373-117373
Closed Access | Times Cited: 5
Quantitative analysis and modification of dynamic p-y curve model for offshore wind turbines considering earthquake history effect based on deep learning
Zhongchang Zhang, Jing Zhang, Xiaofeng Wu, et al.
Ocean Engineering (2024) Vol. 299, pp. 117372-117372
Closed Access | Times Cited: 4
Physics-based neural networks for the characterization and behavior assessment of construction materials
Ahed Habib, M. Talha Junaid, Salah Altoubat, et al.
Journal of Building Engineering (2025) Vol. 100, pp. 111788-111788
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
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
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