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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:

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

Showing 13 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
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
Data-driven and physics-informed neural network for predicting tunnelling-induced ground deformation with sparse data of field measurement
Yingbin Liu, Shaoming Liao, Yaowen Yang, et al.
Tunnelling and Underground Space Technology (2024) Vol. 152, pp. 105951-105951
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
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
Physics-inspired deep learning for bridge scour prediction: site-specific and transferable models
Negin Yousefpour, Bo Wang
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2025), pp. 1-24
Open Access
The novel graph transformer-based surrogate model for learning physical systems
Bo Feng, Xiaoping Zhou
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 432, pp. 117410-117410
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
Characteristics of localized waves of multi-coupled nonlinear Schrödinger equation
Da-Wei Zuo, Ya-Hui Guo
Optical and Quantum Electronics (2023) Vol. 56, Iss. 2
Closed Access | Times Cited: 2
Inverse analysis for estimating geotechnical parameters using physics-informed neural networks
Shin‐ichi Ito, Ryusei Fukunaga, Kazunari Sako
SOILS AND FOUNDATIONS (2024) Vol. 64, Iss. 6, pp. 101533-101533
Open Access
Simulation of hydro-deformation coupling problem in unsaturated porous media using exponential SWCC and hybrid improved iteration method with multigrid and multistep preconditioner
Shuairun Zhu, Lulu Zhang, Lizhou Wu
Acta Geotechnica (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
Ensemble learning of soil–water characteristic curve for unsaturated seepage using physics-informed neural networks
Haoqing Yang, Chao Shi, Lulu Zhang
SOILS AND FOUNDATIONS (2024) Vol. 65, Iss. 1, pp. 101556-101556
Open Access
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