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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 neural networks for consolidation of soils
Sheng Zhang, Peng Lan, Haichao Li, et al.
Engineering Computations (2022) Vol. 39, Iss. 7, pp. 2845-2865
Closed Access | Times Cited: 14

Showing 14 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: 52
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 | Times Cited: 2
A novel physics-informed deep learning strategy with local time-updating discrete scheme for multi-dimensional forward and inverse consolidation problems
Hongwei Guo, Zhen‐Yu Yin
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 421, pp. 116819-116819
Closed Access | Times Cited: 12
Data-driven forward and inverse analysis of two-dimensional soil consolidation using physics-informed neural network
Yu Wang, Chao Shi, Jiangwei Shi, et al.
Acta Geotechnica (2024) Vol. 19, Iss. 12, pp. 8051-8069
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: 6
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 Machine Learning (PIML) for Design, Management and Resilience-Development of Urban Infrastructures: Concept, State-of-the-Art, Challenges and Opportunities
Alvin Wei Ze Chew, Renfei He, Limao Zhang
Archives of Computational Methods in Engineering (2024)
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
Multi-Fidelity Learned Emulator for Waves and Porous Coastal Structures Interaction Modelling
Pin Zhang, Brian Sheil, Qian Cheng
Computers and Geotechnics (2024) Vol. 176, pp. 106718-106718
Closed Access | Times Cited: 2
Physics-Informed Neural Network (PINN) model for predicting subgrade settlement induced by shield tunnelling beneath an existing railway subgrade
Guankai Wang, Shan Yao, Bettina Detmann, et al.
Transportation Geotechnics (2024), pp. 101409-101409
Closed Access | Times Cited: 2
Surrogate modeling for unsaturated infiltration via the physics and equality-constrained artificial neural networks
Peng Lan, Jingjing Su, Sheng Zhang
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 16, Iss. 6, pp. 2282-2295
Open Access | Times Cited: 4
Machine Learning Aided Modeling of Granular Materials: A Review
Mengqi Wang, Krishna Kumar, Y.T. Feng, et al.
Archives of Computational Methods in Engineering (2024)
Open Access | Times Cited: 1
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
Physics-informed neural network solution for thermo-elastic cavity expansion problem
Yang He, Fei Ren, Yanjie Song, et al.
Geomechanics and Geoengineering (2024), pp. 1-11
Open Access
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