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:

Machine Learning-Based Modelling of Soil Properties for Geotechnical Design: Review, Tool Development and Comparison
Pin Zhang, Zhen‐Yu Yin, Yin-Fu Jin
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 2, pp. 1229-1245
Closed Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Analysis and Prediction of Grouting Reinforcement Performance of Broken Rock Considering Joint Morphology Characteristics
Guanglin Liang, Linchong Huang, Chengyong Cao
Mathematics (2025) Vol. 13, Iss. 2, pp. 264-264
Open Access | Times Cited: 1

Machine learning-based intelligent modeling of hydraulic conductivity of sandy soils considering a wide range of grain sizes
Zia ur Rehman, Usama Khalid, Nauman Ijaz, et al.
Engineering Geology (2022) Vol. 311, pp. 106899-106899
Closed Access | Times Cited: 66

A new index for cutter life evaluation and ensemble model for prediction of cutter wear
Nan Zhang, Shui‐Long Shen, Annan Zhou
Tunnelling and Underground Space Technology (2022) Vol. 131, pp. 104830-104830
Closed Access | Times Cited: 50

COSMA-RF: New intelligent model based on chaos optimized slime mould algorithm and random forest for estimating the peak cutting force of conical picks
Jian Zhou, Yong Dai, Kun Du, et al.
Transportation Geotechnics (2022) Vol. 36, pp. 100806-100806
Closed Access | Times Cited: 42

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

Integrative modeling of heterogeneous soil salinity using sparse ground samples and remote sensing images
Lingyue Wang, Ping Hu, Hongwei Zheng, et al.
Geoderma (2023) Vol. 430, pp. 116321-116321
Open Access | Times Cited: 27

Effects of binder proportion and curing condition on the mechanical characteristics of volcanic ash- and slag-based geopolymer mortars; machine learning integrated experimental study
Mohammad-Hossein Nofalah, Pooria Ghadir, Hadi Hasanzadehshooiili, et al.
Construction and Building Materials (2023) Vol. 395, pp. 132330-132330
Open Access | Times Cited: 19

A comparative analysis of hybrid RF models for efficient lithology prediction in hard rock tunneling using TBM working parameters
Jian Zhou, Peixi Yang, Weixun Yong, et al.
Acta Geophysica (2024) Vol. 72, Iss. 3, pp. 1847-1866
Closed Access | Times Cited: 6

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

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

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

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

An efficient BPNN-NSGA-II-based calibration framework for finite-discrete element method in rock modeling
Tong Ye, Qinghui Jiang, Shu Jiang, et al.
Computers and Geotechnics (2025) Vol. 179, pp. 107035-107035
Closed Access

1DCNN-based prediction methods for subsequent settlement of subgrade with limited monitoring data
Senlin Xie, Anfeng Hu, Meihui Wang, et al.
European Journal of Environmental and Civil engineering (2025), pp. 1-26
Closed Access

Soil parameter inversion modeling using deep learning algorithms and its application to settlement prediction: a comparative study
Anfeng Hu, Senlin Xie, Tang Li, et al.
Acta Geotechnica (2023) Vol. 18, Iss. 10, pp. 5597-5618
Closed Access | Times Cited: 13

Prediction and variable importance analysis for small-strain stiffness of soil based on ensemble learning with Bayesian optimization
Yunhan Huang, Yaning Wang, Zhongze Xu, et al.
Computers and Geotechnics (2023) Vol. 162, pp. 105688-105688
Closed Access | Times Cited: 13

Uncertainty-Aware Prediction of Bearing Capacity of Shallow Foundations Resting on Cohesionless Soils Using Bayesian Regression
Laith Sadik, Pijush Samui
Geotechnical and Geological Engineering (2024) Vol. 42, Iss. 5, pp. 3919-3937
Closed Access | Times Cited: 4

A deep transfer learning model for the deformation of braced excavations with limited monitoring data
Yuanqin Tao, Shaoxiang Zeng, Tiantian Ying, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 4

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

Bayesian Back Analysis of Spatial Variability with Machine Learning Surrogates
Xiaoying Chen, S. Wang, Haoqing Yang, et al.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering (2025) Vol. 11, Iss. 2
Closed Access

A machine learning-based model framework for predicting uplift capacity factor of circular plate anchor in multi-layer clay
Pai Jiang, Yunhan Huang, Zhongling Zong, et al.
Ships and Offshore Structures (2025), pp. 1-16
Closed Access

Machine learning–driven surrogate model development for geotechnical numerical simulation
Kunpeng Gao, Zhiyuan Cheng, Yihua Song, et al.
Geotechnical Research (2025), pp. 1-14
Open Access

Application of machine learning in early warning system of geotechnical disaster: a systematic and comprehensive review
Shan Lin, Zenglong Liang, Hongwei Guo, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access

Slope stability prediction of circular mode failure by machine learning models based on Bayesian Optimizer
Mohammad Hossein Kadkhodaei, Ebrahim Ghasemi, Mohammad Hossein Fazel
Journal of Mountain Science (2025)
Closed Access

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