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:

Prediction of mechanical behavior of rocks with strong strain-softening effects by a deep-learning approach
Lei Shi, Jin Zhang, Qi‐Zhi Zhu, et al.
Computers and Geotechnics (2022) Vol. 152, pp. 105040-105040
Closed Access | Times Cited: 13

Showing 13 citing articles:

Deformation extent prediction of roadway roof during non-support period using support vector regression combined with swarm intelligent bionic optimization algorithms
Bingbing Yu, Qing Li, Tongde Zhao
Tunnelling and Underground Space Technology (2024) Vol. 145, pp. 105585-105585
Closed Access | Times Cited: 6

Modeling the Mechanical Response of Cement-Admixed Clay Under Different Stress Paths Using Recurrent Neural Networks
Chana Phutthananon, Praiya Ratanakijkul, Sompote Youwai, et al.
International Journal of Geosynthetics and Ground Engineering (2024) Vol. 10, Iss. 2
Closed Access | Times Cited: 6

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: 6

Short-Sequence Machine Learning Framework for Predicting Constitutive Relationships of Sand
Xiangchen Yao, Shuqi Ma, Bo Li, et al.
Geotechnical and Geological Engineering (2025) Vol. 43, Iss. 2
Closed Access

Prediction of triaxial mechanical properties of rocks based on mesoscopic finite element numerical simulation and multi-objective machine learning
Haijing Wang, Chao Zhang, Bo Zhou, et al.
Journal of King Saud University - Science (2023) Vol. 35, Iss. 7, pp. 102846-102846
Open Access | Times Cited: 9

Intelligent Analysis of Construction Costs of Shield Tunneling in Complex Geological Conditions by Machine Learning Method
Xiaomu Ye, Pengfei Ding, Dawei Jin, et al.
Mathematics (2023) Vol. 11, Iss. 6, pp. 1423-1423
Open Access | Times Cited: 5

Data-driven hierarchical multiscale FDEM for simulating rock meso-macro mechanical behavior
Ruifeng Zhao, Zhijun Wu, Xiangyu Xu, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 427, pp. 117029-117029
Closed Access | Times Cited: 1

Transformer-based settlement prediction model of pile composite foundation under embankment loading
Song Gao, Changfu Chen, Xueqin Jiang, et al.
Computers and Geotechnics (2024) Vol. 176, pp. 106783-106783
Closed Access | Times Cited: 1

A new approach for remaining useful life prediction of bearings using 1D-ternary patterns with LSTM
Eyyüp Akcan, Yılmaz Kaya
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 7
Open Access | Times Cited: 4

Dynamic Risk Forecasting Based on Deep Learning and Collapse Risk Comprehensive Evaluation of Mountain Tunnel Portal Construction
Kun Lin, Yazhen Sun, Jinchang Wang, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access

Fast and interpretable prediction of seismic kinematics of flexible retaining walls in sand through explainable artificial intelligence
Francesco Pistolesi, Michele Baldassini, Evelina Volpe, et al.
Computers and Geotechnics (2024) Vol. 179, pp. 107007-107007
Open Access

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