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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:

Modified Mohr–Coulomb criterion for nonlinear strength characteristics of rocks
Shijie Xie, Hang Lin, Yifan Chen, et al.
Fatigue & Fracture of Engineering Materials & Structures (2024) Vol. 47, Iss. 6, pp. 2228-2242
Closed Access | Times Cited: 19

Showing 19 citing articles:

A new integrated intelligent computing paradigm for predicting joints shear strength
Shijie Xie, Zheyuan Jiang, Hang Lin, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 6, pp. 101884-101884
Open Access | Times Cited: 25
The rheological intelligent constitutive model of debris flow: A new paradigm for integrating mechanics mechanisms with data-driven approaches by combining data mapping and deep learning
Tianxing Ma, Hao Chen, Keying Zhang, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126405-126405
Closed Access | Times Cited: 5
Prediction of joint roughness coefficient via hybrid machine learning model combined with principal components analysis
Shijie Xie, Hang Lin, Tianxing Ma, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 15
Deep Learning in Rockburst Intensity Level Prediction: Performance Evaluation and Comparison of the NGO-CNN-BiGRU-Attention Model
Hengyu Liu, Tianxing Ma, Yun Lin, et al.
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5719-5719
Open Access | Times Cited: 11
Hybrid machine learning models to predict the shear strength of discontinuities with different joint wall compressive strength
Shijie Xie, Hang Lin, Yifan Chen, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-21
Closed Access | Times Cited: 11
Elastic modulus prediction for high-temperature treated rock using multi-step hybrid ensemble model combined with coronavirus herd immunity optimizer
Tianxing Ma, Xiangqi Hu, Hengyu Liu, et al.
Measurement (2024) Vol. 240, pp. 115596-115596
Closed Access | Times Cited: 11
A novel triaxial strength criterion for rocks based on the ultimate strength and its application
Shijie Xie, Hang Lin, Hongyu Duan, et al.
Geoenergy Science and Engineering (2024), pp. 213590-213590
Closed Access | Times Cited: 11
Prediction of thermal conductivity of natural rock materials using LLE-transformer-lightGBM model for geothermal energy applications
Yufan Wang, Tianxing Ma, Liangxu Shen, et al.
Energy Reports (2025) Vol. 13, pp. 2516-2530
Closed Access | Times Cited: 1
Hybrid data-driven model and shapley additive explanations for peak dilation angle of rock discontinuities
Yanhui Cheng, Dongliang He, Tianxing Ma, et al.
Materials Today Communications (2024) Vol. 40, pp. 110194-110194
Closed Access | Times Cited: 7
Rational implementation of the Mohr criterion in its general form
Shuguang Li
International Journal of Mechanical Sciences (2024) Vol. 279, pp. 109449-109449
Open Access | Times Cited: 5
Slope Stability Prediction Using Principal Component Analysis and Hybrid Machine Learning Approaches
Daxing Lei, Yaoping Zhang, Zhigang Lu, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6526-6526
Open Access | Times Cited: 4
Study on anti-frost heave effect of new thermal insulation subgrade of highway in seasonally frozen soil regions
Xiang Mi, Wenqiang Zhang, Ge Zhang, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0318682-e0318682
Open Access
Shear strength parameters prediction of rock materials using hybrid machine learning model
Yanhui Cheng, Dongliang He, Hongwei Liu, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-24
Closed Access
A machine learning framework for predicting shear strength properties of rock materials
Daxing Lei, Yaoping Zhang, Zhigang Lu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Research on Slope Stability Prediction Based on MC-BKA-MLP Mixed Model
Yan Lu, Hongze Zhao
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3158-3158
Open Access
A novel social network search and LightGBM framework for accurate prediction of blast-induced peak particle velocity
Tianxing Ma, Cuigang Chen, Liangxu Shen, et al.
Frontiers of Structural and Civil Engineering (2025)
Closed Access
Predicting Factor of Safety of Slope Using an Improved Support Vector Machine Regression Model
Daxing Lei, Yaoping Zhang, Zhigang Lu, et al.
Mathematics (2024) Vol. 12, Iss. 20, pp. 3254-3254
Open Access | Times Cited: 2
Hybrid data-driven model for predicting the shear strength of discontinuous rock materials
Daxing Lei, Yaoping Zhang, Zhigang Lu, et al.
Materials Today Communications (2024) Vol. 41, pp. 110327-110327
Closed Access
Study on mechanical characteristics of phyllite by conventional triaxial compression under multi-factors coupling action
Yabin Wu, Dongjie Yang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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