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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:

Modelling the mechanical behaviour of soils using machine learning algorithms with explicit formulations
Pin Zhang, Zhen‐Yu Yin, Yin-Fu Jin, et al.
Acta Geotechnica (2021) Vol. 17, Iss. 4, pp. 1403-1422
Closed Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

Recovering shear stiffness degradation curves from classification data with a neural network approach
J.A. Charles, Susan Gourvenec, Mark E. Vardy
Acta Geotechnica (2023) Vol. 18, Iss. 10, pp. 5619-5633
Open Access | Times Cited: 6
Meta‐modeling of fractional constitutive relationships for rocks based on physics‐induced machine learning
Pengfei Qu, Limao Zhang, Qizhi Zhu
International Journal for Numerical and Analytical Methods in Geomechanics (2023) Vol. 47, Iss. 6, pp. 1000-1021
Closed Access | Times Cited: 5
Deep transfer learning-aided constitutive modelling of granular soils considering out-of-range particle morphology
Wei Xiong, Jianfeng Wang
Tunnelling and Underground Space Technology (2023) Vol. 144, pp. 105547-105547
Closed Access | Times Cited: 5
Cyclic shear stress-strain prediction of saturated sand based on the unrolled seq2seq model and scheduled sampling
Fanhua Meng, Huafu Pei
Soil Dynamics and Earthquake Engineering (2022) Vol. 165, pp. 107665-107665
Closed Access | Times Cited: 8
State Index for Interpreting the State-Dependent Behavior of Granular Soil: A Review
Yan Chen, Yijun Shen, Wei Zhao, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4379-4399
Closed Access | Times Cited: 4
Predicting peak deviatoric stress of gravels with a novel segmented feature transformation approach
Duo Li, Degao Zou, Jingmao Liu, et al.
Computers and Geotechnics (2023) Vol. 165, pp. 105935-105935
Closed Access | Times Cited: 2
Shrink–swell index prediction through deep learning
Bertrand Teodosio, P.L.P. Wasantha, Ehsan Yaghoubi, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 6, pp. 4569-4586
Open Access | Times Cited: 3
Adaptive Utilization of Pressure Sensor Data in Excavation
Hannu Juola, Rauno Heikkilä, Matti Immonen, et al.
Journal of Earth Sciences and Geotechnical Engineering (2024), pp. 1-18
Open Access
NorSand4AI: a comprehensive triaxial test simulation database for NorSand constitutive model materials
Luan Carlos de Sena Monteiro Ozelim, Michéle Dal Toé Casagrande, André Luís Brasil Cavalcante
Geoscientific model development (2024) Vol. 17, Iss. 8, pp. 3175-3197
Open Access
Physics-Guided Deep Learning-Based Constitutive Modeling for the Gravelly Soil-Structure Interface
Wei Sun, Yiwei Chen, Qiuhao DU, et al.
(2024)
Open Access
DIA for Classification of Soils Using Machine Learning and Computer Vision
Magued Iskander, Linzhu Li
Springer series in geomechanics and geoengineering (2024), pp. 293-325
Closed Access
Integrated database of granular soils under triaxial shear and its application in the prediction of stress–strain relationship
Wei Xiong, Jianfeng Wang, Zhuoyuan Cheng
IOP Conference Series Earth and Environmental Science (2024) Vol. 1330, Iss. 1, pp. 012017-012017
Open Access
Enhancing drought resilience: machine learning–based vulnerability assessment in Uttar Pradesh, India
Barnali Kundu, Narendra Kumar Rana, Sonali Kundu
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 30, pp. 43005-43022
Closed Access
Intelligent prediction of unfrozen water content of artificially frozen clay along one-dimensional column based on LF-NMR
Jie Zhou, Huade Zhou, Chuanhe Wang, et al.
Cold Regions Science and Technology (2024) Vol. 225, pp. 104251-104251
Closed Access
physics-guided deep learning-based constitutive modeling for the gravelly soil-structure interface
Wei Sun, Yiwei Chen, Qiuhao DU, et al.
Research Square (Research Square) (2024)
Closed Access
A GWO-ML-based large deformation finite element variable mapping method: An example of RITSS large deformation finite element simulation
Kailin Ding, Yong Fu
Computers and Geotechnics (2024) Vol. 175, pp. 106693-106693
Closed Access
Machine learning prediction model for clay electrical conductivity and its application in electroosmosis consolidation
Xunli Zhang, Lingwei Zheng, Xudong Zheng, et al.
Acta Geotechnica (2024)
Closed Access
Physics-guided deep learning-based constitutive modeling for the gravelly soil-structure interface
Wei Sun, Yiwei Chen, Qiuhao DU, et al.
Research Square (Research Square) (2024)
Closed Access
Quantitative identification of cutoff wall construction defects using Bayesian approach based on excess pore water pressure
Meng Wu, Guojun Cai, Lulu Liu, et al.
Acta Geotechnica (2021) Vol. 17, Iss. 6, pp. 2553-2571
Closed Access | Times Cited: 4
Investigation of deformation behaviour of uniaxially loaded sand grains using a novel high-resolution imaging apparatus and ensemble machine learning models
Amir Tophel, Stefan Vogt, G. V. Ramana
International Journal of Geotechnical Engineering (2023) Vol. 17, Iss. 5, pp. 464-479
Closed Access
Efficient Automatic Estimation of Soil Constitutive Model Parameters by Particle Swarm Optimization
Takayuki Sakai, Masaki Nakano
Research Square (Research Square) (2023)
Open Access
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