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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:

State-of-the-Art Review of Machine Learning Applications in Constitutive Modeling of Soils
Pin Zhang, Zhen‐Yu Yin, Yin-Fu Jin
Archives of Computational Methods in Engineering (2021) Vol. 28, Iss. 5, pp. 3661-3686
Closed Access | Times Cited: 105

Showing 26-50 of 105 citing articles:

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
Quantifying the Contributions of Factors to Bioaccessible Cd and Pb in Soil Using Machine Learning
Lingchen Mao, Kai Kang, Hui Kong, et al.
Journal of Hazardous Materials (2025) Vol. 487, pp. 137102-137102
Closed Access
A predictive deep learning framework for path-dependent mechanical behavior of granular materials
Gang Ma, Shaoheng Guan, Qiao Wang, et al.
Acta Geotechnica (2022) Vol. 17, Iss. 8, pp. 3463-3478
Closed Access | Times Cited: 24
Modeling of frozen soil-structure interface shear behavior by supervised deep learning
Weihang Chen, Qiang Luo, Jiankun Liu, et al.
Cold Regions Science and Technology (2022) Vol. 200, pp. 103589-103589
Closed Access | Times Cited: 22
Data-driven constitutive modelling of granular soils considering multiscale particle morphology
Wei Xiong, Jianfeng Wang, Mengmeng Wu
Computers and Geotechnics (2023) Vol. 162, pp. 105699-105699
Closed Access | Times Cited: 14
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
Multi-layer perceptron-based data-driven multiscale modelling of granular materials with a novel Frobenius norm-based internal variable
Mengqi Wang, Y.T. Feng, Shaoheng Guan, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 6, pp. 2198-2218
Open Access | Times Cited: 4
Test and prediction for the shear behavior of the sand–irregular concrete interface under constant and dynamic normal loading
Shixun Zhang, Feiyu Liu, Mengjie Ying, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 180, pp. 108620-108620
Closed Access | Times Cited: 4
Uncertainty quantification in data-driven modelling with application to soil properties prediction
Geng‐Fu He, Zhen‐Yu Yin, Pin Zhang
Acta Geotechnica (2025)
Closed Access
A data-driven method for prediction and design of biomass ash alkali-activated materials
Ying He, Danyang Zhao, Jie Xu, et al.
Géotechnique Letters (2025) Vol. 15, Iss. 1, pp. 1-6
Closed Access
Evaluation and Future Prospects of Data‐Driven Intelligence‐Based Framework for Predicting Cyclic Behavior of Reconstituted Sand
Kaushik Jas, Amalesh Jana, G. R. Dodagoudar
International Journal for Numerical and Analytical Methods in Geomechanics (2025)
Closed Access
Predicting the stress-strain behavior of gravels with a hybrid deep learning approach
Duo Li, Jingmao Liu, Degao Zou, et al.
Transportation Geotechnics (2025), pp. 101492-101492
Closed Access
Discovering Constitutive Models for Clay Through Physical-Guided Symbolic Regression
Su Chen, Yi Zhu, Suyang Wang, et al.
(2025)
Closed Access
Uncertainty quantification in tree structure and polynomial regression algorithms toward material indices prediction
Geng‐Fu He, Pin Zhang, Zhen‐Yu Yin
Data-Centric Engineering (2025) Vol. 6
Open Access
The mechanical properties of frozen peat soil under true triaxial testing and intelligent constitutive modeling based on prior information
Hang Wei, Zhaoming Yao, Xun Wang, et al.
Cold Regions Science and Technology (2025), pp. 104496-104496
Closed Access
Unconfined compressive strength of bio-cemented sand: state-of-the-art review and MEP-MC-based model development
Hanlin Wang, Zhen‐Yu Yin
Journal of Cleaner Production (2021) Vol. 315, pp. 128205-128205
Open Access | Times Cited: 29
BiLSTM-Based Soil–Structure Interface Modeling
Pin Zhang, Yi Yang, Zhen‐Yu Yin
International Journal of Geomechanics (2021) Vol. 21, Iss. 7
Open Access | Times Cited: 28
Comprehensive evaluation of machine learning algorithms applied to TBM performance prediction
Jie Yang, Saffet Yağız, Yingjing Liu, et al.
Underground Space (2021) Vol. 7, Iss. 1, pp. 37-49
Open Access | Times Cited: 27
An intelligent procedure for updating deformation prediction of braced excavation in clay using gated recurrent unit neural networks
Jie Yang, Yingjing Liu, Saffet Yağız, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2021) Vol. 13, Iss. 6, pp. 1485-1499
Open Access | Times Cited: 27
Prediction of crushed numbers and sizes of ballast particles after breakage using machine learning techniques
Peyman Aela, Junyi Wang, Kaveh Yousefian, et al.
Construction and Building Materials (2022) Vol. 337, pp. 127469-127469
Closed Access | Times Cited: 21
A machine-learning aided multiscale homogenization model for crystal plasticity: application for face-centered cubic single crystals
Dana Bishara, Shaofan Li
Computational Mechanics (2023) Vol. 72, Iss. 1, pp. 77-93
Closed Access | Times Cited: 11
A Comparative Analysis of Hybrid Computational Models Constructed with Swarm Intelligence Algorithms for Estimating Soil Compression Index
Abidhan Bardhan, Navid Kardani, Abdel Kareem Alzo’ubi, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 7, pp. 4735-4773
Closed Access | Times Cited: 18
A machine learning-based multi-scale computational framework for granular materials
Shaoheng Guan, Tongming Qu, Y.T. Feng, et al.
Acta Geotechnica (2022) Vol. 18, Iss. 4, pp. 1699-1720
Closed Access | Times Cited: 17

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