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:

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

Showing 23 citing articles:

Differentiable finite element method with Galerkin discretization for fast and accurate inverse analysis of multidimensional heterogeneous engineering structures
Xi Wang, Zhen‐Yu Yin, Wei Wu, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117755-117755
Open Access | Times Cited: 4

Optimizing parameter combinations for clump models enabled by the bubble packing algorithm: Insights from geometrical and morphological approximation of typical geotechnical particles
Meng Fan, Dong Su, Qinyu Zhang, et al.
Computers and Geotechnics (2025) Vol. 180, pp. 107061-107061
Closed Access | Times Cited: 1

Neural Network-augmented Differentiable Finite Element Method for Boundary Value Problems
Xi Wang, Zhen‐Yu Yin, Wei Wu, et al.
International Journal of Mechanical Sciences (2024) Vol. 285, pp. 109783-109783
Closed Access | Times Cited: 11

A thermodynamics-informed neural network for elastoplastic constitutive modeling of granular materials
Mingming Su, Yu You, T.H. Chen, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 430, pp. 117246-117246
Closed Access | Times Cited: 9

Interpretable physics-encoded finite element network to handle concentration features and multi-material heterogeneity in hyperelasticity
Xi Wang, Zhen‐Yu Yin
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 431, pp. 117268-117268
Closed Access | Times Cited: 9

Kriging-based surrogate data-enriching artificial neural network prediction of strength and permeability of permeable cement-stabilized base
Xiaoming Wang, Yuanjie Xiao, Wenqi Li, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5

Prediction of the compressive strength and carpet plot for cross-material CFRP laminate based on deep transfer learning
Zhicen Song, Yunwen Feng, Cheng Lu
Materials Science and Engineering A (2025) Vol. 924, pp. 147792-147792
Closed Access

Multi-layer perceptron-based data-driven multiscale modelling of granular materials with a novel Frobenius norm-based internal variable
Mengqi Wang, Y.T. Feng, Shaoheng Guan, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 6, pp. 2198-2218
Open Access | Times Cited: 4

Study on the automated characterization of particle size and shape of stacked gravelly soils via deep learning
Jian Gong, Ziyang Liu, Jiayan Nie, et al.
Acta Geotechnica (2025)
Closed Access

Extended Minimal State Cells (EMSC): Self-Consistent Recurrent Neural Networks for Rate- and Temperature Dependent Plasticity
Julian N. Heidenreich, Dirk Mohr
International Journal of Plasticity (2025), pp. 104305-104305
Closed Access

Quantification of particle size and shape of sands based on the combination of GAN and CNN
Jian Gong, Ziyang Liu, Keyu Zhao, et al.
Powder Technology (2024) Vol. 447, pp. 120122-120122
Closed Access | Times Cited: 2

A rational multiscale nonlinear constitutive model for freeze-thaw rocks under triaxial compression
Wen-Lin Wu, Lun‐Yang Zhao, Y. F. Lai, et al.
International Journal of Plasticity (2024) Vol. 179, pp. 104040-104040
Closed Access | Times Cited: 1

Machine Learning Aided Modeling of Granular Materials: A Review
Mengqi Wang, Krishna Kumar, Y.T. Feng, et al.
Archives of Computational Methods in Engineering (2024)
Open Access | Times Cited: 1

A physical-information-flow-constrained temporal graph neural network-based simulator for granular materials
Shiwei Zhao, Hao Chen, Jidong Zhao
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 433, pp. 117536-117536
Closed Access | Times Cited: 1

A deep neural network model for parameter identification in deep drawing metal forming process
Yingjian Guo, Can Wang, Sutao Han, et al.
Journal of Manufacturing Processes (2024) Vol. 133, pp. 380-394
Closed Access | Times Cited: 1

Graph Neural Network Unveils the Spatiotemporal Evolution of Structural Defects in Sheared Granular Materials
Jiangzhou Mei, Gang Ma, Wanda Cao, et al.
International Journal of Plasticity (2024), pp. 104218-104218
Closed Access | Times Cited: 1

Optimizing data-sampling period in a machine learning-based surrogate model for powder mixing simulations
Naoki Kishida, Hideya Nakamura, Shuji Ohsaki, et al.
Powder Technology (2024), pp. 120584-120584
Closed Access | Times Cited: 1

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

Stress-fractional modelling of dilatancy behavior under monotonic loading based on a new yield surface of coarse-grained soil
Erlu Wu, Wanli Guo, Na Li, et al.
International Journal of Plasticity (2024), pp. 104236-104236
Closed Access

A POD‐TANN Approach for the Multiscale Modeling of Materials and Macro‐Element Derivation in Geomechanics
Giovanni Piunno, Ioannis Stefanou, Cristina Jommi
International Journal for Numerical and Analytical Methods in Geomechanics (2024)
Open Access

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