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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:

Deep Learning Predicts Stress–Strain Relations of Granular Materials Based on Triaxial Testing Data
Tongming Qu, Shaocheng Di, Y.T. Feng, et al.
Computer Modeling in Engineering & Sciences (2021) Vol. 128, Iss. 1, pp. 129-144
Open Access | Times Cited: 22

Showing 22 citing articles:

Deep active learning for constitutive modelling of granular materials: From representative volume elements to implicit finite element modelling
Tongming Qu, Shaoheng Guan, Y.T. Feng, et al.
International Journal of Plasticity (2023) Vol. 164, pp. 103576-103576
Open Access | Times Cited: 45
Data-driven multiscale modelling of granular materials via knowledge transfer and sharing
Tongming Qu, Jidong Zhao, Shaoheng Guan, et al.
International Journal of Plasticity (2023) Vol. 171, pp. 103786-103786
Closed Access | Times Cited: 23
Finite element geotechnical analysis incorporating deep learning-based soil model
Qingzheng Guan, Z. X. Yang, Ning Guo, et al.
Computers and Geotechnics (2022) Vol. 154, pp. 105120-105120
Closed Access | Times Cited: 29
Prediction of compressive mechanical properties of three-dimensional mesoscopic aluminium foam based on deep learning method
Weimin Zhuang, Enming Wang, Hailun Zhang
Mechanics of Materials (2023) Vol. 182, pp. 104684-104684
Closed Access | Times Cited: 18
Development of a convolutional neural network based geomechanical upscaling technique for heterogeneous geological reservoir
Zhiwei Ma, Xiaoyan Ou, Bo Zhang
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 6, pp. 2111-2125
Open Access | Times Cited: 6
A neural network-based material cell for elastoplasticity and its performance in FE analyses of boundary value problems
Shaoheng Guan, Xue Zhang, Sascha Ranftl, et al.
International Journal of Plasticity (2023) Vol. 171, pp. 103811-103811
Open Access | Times Cited: 13
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
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
Enhancing deformation characteristics prediction of coarse-grained soils with time-series generative adversarial network-based data augmentation and pre-training
Ying Zhang, Jia Meng, Xuedong Zhang, et al.
Frontiers of Structural and Civil Engineering (2025)
Closed Access
Hierarchical SVM for Semantic Segmentation of 3D Point Clouds for Infrastructure Scenes
Mohamed Mansour, Jan Martens, Jörg Blankenbach
Infrastructures (2024) Vol. 9, Iss. 5, pp. 83-83
Open Access | Times Cited: 4
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
Data-driven strain–stress modelling of granular materials via temporal convolution neural network
Mengqi Wang, Tongming Qu, Shaoheng Guan, et al.
Computers and Geotechnics (2022) Vol. 152, pp. 105049-105049
Open Access | Times Cited: 15
A Constitutive Model Study of Chemical Corrosion Sandstone Based on Support Vector Machine and Artificial Bee Colony Algorithm
Yun Lin, Chong Li, Keping Zhou, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13415-13415
Open Access | Times Cited: 6
Hierarchical SVM for Semantic Segmentation of 3D Point Clouds for Infrastructure Scenes
Mohamed Mansour, Jan Martens, Jörg Blankenbach
(2023)
Open Access | Times Cited: 4
Prediction of Macroscopic Compressive Mechanical Properties for 2.5D Woven Composites Based on Artificial Neural Network
Jie Zhou, Haolin Wei, Zhen Wu, et al.
Fibers and Polymers (2024) Vol. 25, Iss. 8, pp. 3185-3199
Closed Access | Times Cited: 1
An explicit FEM-NN framework and the analysis of error caused by NN-predicted stress
Shaoheng Guan, Y.T. Feng, Gang Ma, et al.
Acta Geotechnica (2023) Vol. 19, Iss. 4, pp. 1815-1834
Closed Access | Times Cited: 3
Application of LSTM Approach for Predicting the Fission Swelling Behavior within a CERCER Composite Fuel
Jian Zhao, Zhenyue Chen, Jingqi Tu, et al.
Energies (2022) Vol. 15, Iss. 23, pp. 9053-9053
Open Access | Times Cited: 4
The Effects of the Particle Size Ratio on the Behaviors of Binary Granular Materials
Deze Yang, Xihua Chu
Computer Modeling in Engineering & Sciences (2023) Vol. 136, Iss. 1, pp. 63-85
Open Access | Times Cited: 2
GPM-PeNN: A generalized plasticity model-based data-driven constitutive modeling framework using physics-encoded neural network
Jingzhou Wang, Gang Ma, Tongming Qu, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 436, pp. 117694-117694
Closed Access
A Calibration of the Contact Parameters of a Sesbania Seed Discrete Element Model Based on RSM
Wenpeng Ma, Shining Zhang, Xiang Yin, et al.
Processes (2023) Vol. 11, Iss. 12, pp. 3381-3381
Open Access | Times Cited: 1
A Multi-Scale Grasp Detector Based on Fully Matching Model
Xinheng Yuan, Yu Hao, Houlin Zhang, et al.
Computer Modeling in Engineering & Sciences (2022) Vol. 133, Iss. 2, pp. 281-301
Open Access | Times Cited: 1
Introduction to the Special Issue on Computational Mechanics of Granular Materials and its Engineering Applications
Shunying Ji, Michael Zhuravkov, Zongyan Zhou, et al.
Computer Modeling in Engineering & Sciences (2022) Vol. 132, Iss. 1, pp. 1-3
Open Access
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