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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:

Modeling finite-strain plasticity using physics-informed neural network and assessment of the network performance
Sijun Niu, Enrui Zhang, Yuri Bazilevs, et al.
Journal of the Mechanics and Physics of Solids (2022) Vol. 172, pp. 105177-105177
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Toxicity assessment of microplastic (MPs); a threat to the ecosystem
Nageen Bostan, Noshin Ilyas, Nosheen Akhtar, et al.
Environmental Research (2023) Vol. 234, pp. 116523-116523
Closed Access | Times Cited: 93
Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review
Hanxun Jin, Enrui Zhang, Horacio D. Espinosa
Applied Mechanics Reviews (2023) Vol. 75, Iss. 6
Open Access | Times Cited: 66
Physics-informed Neural Networks (PINN) for computational solid mechanics: Numerical frameworks and applications
Haoteng Hu, Lehua Qi, Xujiang Chao
Thin-Walled Structures (2024) Vol. 205, pp. 112495-112495
Closed Access | Times Cited: 26
Theory and implementation of inelastic Constitutive Artificial Neural Networks
Hagen Holthusen, Lukas Lamm, Tim Brepols, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 428, pp. 117063-117063
Open Access | Times Cited: 22
Learning solutions of thermodynamics-based nonlinear constitutive material models using physics-informed neural networks
Shahed Rezaei, Ahmad Moeineddin, Ali M. Harandi
Computational Mechanics (2024) Vol. 74, Iss. 2, pp. 333-366
Closed Access | Times Cited: 16
Mixed formulation of physics‐informed neural networks for thermo‐mechanically coupled systems and heterogeneous domains
Ali M. Harandi, Ahmad Moeineddin, Michael Kaliske, et al.
International Journal for Numerical Methods in Engineering (2023) Vol. 125, Iss. 4
Open Access | Times Cited: 35
Deep learning operator network for plastic deformation with variable loads and material properties
Seid Korić, Asha Viswantah, Diab W. Abueidda, et al.
Engineering With Computers (2023) Vol. 40, Iss. 2, pp. 917-929
Open Access | Times Cited: 30
Artificial intelligence in metal forming
Jian Cao, Markus� Bambach, Marion Merklein, et al.
CIRP Annals (2024) Vol. 73, Iss. 2, pp. 561-587
Closed Access | Times Cited: 10
Physics-Informed neural network solver for numerical analysis in geoengineering
Xiaoxuan Chen, Pin Zhang, Zhen‐Yu Yin
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024) Vol. 18, Iss. 1, pp. 33-51
Open Access | Times Cited: 9
Phase-field modeling of fracture with physics-informed deep learning
M. Manav, Roberto Molinaro, Siddhartha Mishra, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 429, pp. 117104-117104
Open Access | Times Cited: 9
Physics-infused deep neural network for solution of non-associative Drucker–Prager elastoplastic constitutive model
Arunabha M. Roy, Suman Guha, Veera Sundararaghavan, et al.
Journal of the Mechanics and Physics of Solids (2024) Vol. 185, pp. 105570-105570
Closed Access | Times Cited: 8
Coupled data/physics-driven framework for accurate and efficient structural response simulation
Guanghao Zhai, Billie F. Spencer, Jinhui Yan, et al.
Engineering Structures (2025) Vol. 327, pp. 119636-119636
Open Access | Times Cited: 1
Energy-based physics-informed neural network for frictionless contact problems under large deformation
Jinshuai Bai, Zhongya Lin, Yizheng Wang, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117787-117787
Closed Access | Times Cited: 1
Deep homogenization networks for elastic heterogeneous materials with two- and three-dimensional periodicity
Jiajun Wu, Jindong Jiang, Qiang Chen, et al.
International Journal of Solids and Structures (2023) Vol. 284, pp. 112521-112521
Open Access | Times Cited: 19
A Novel Pipeline Age Evaluation: Considering Overall Condition Index and Neural Network Based on Measured Data
Hassan Noroznia, Majid Gandomkar, Javad Nikoukar, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 1, pp. 252-268
Open Access | Times Cited: 16
Stored energy density solution for TSV-Cu structure deformation under thermal cyclic loading based on PINN
Hongjiang Qian, Jiebin Shen, Zhiyong Huang, et al.
International Journal of Plasticity (2024) Vol. 179, pp. 104046-104046
Closed Access | Times Cited: 7
Finite element-integrated neural network framework for elastic and elastoplastic solids
Ning Zhang, Kunpeng Xu, Zhen‐Yu Yin, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 433, pp. 117474-117474
Closed Access | Times Cited: 7
Physics-driven neural networks for nonlinear micromechanics
Zhihao Xiong, Ping Yang, Pengyang Zhao
International Journal of Mechanical Sciences (2024) Vol. 273, pp. 109214-109214
Closed Access | Times Cited: 6
I-FENN for thermoelasticity based on physics-informed temporal convolutional network (PI-TCN)
Diab W. Abueidda, Mostafa E. Mobasher
Computational Mechanics (2024) Vol. 74, Iss. 6, pp. 1229-1259
Closed Access | Times Cited: 6
A preliminary discussion about the application of machine learning in the field of constitutive modeling focusing on alloys
Dongwei Li, Jinxiang Liu, Yongsheng Fan, et al.
Journal of Alloys and Compounds (2023) Vol. 976, pp. 173210-173210
Closed Access | Times Cited: 15
Identifying Constitutive Parameters for Complex Hyperelastic Materials using Physics-Informed Neural Networks
Siyuan Song, Hanxun Jin
Soft Matter (2024) Vol. 20, Iss. 30, pp. 5915-5926
Open Access | Times Cited: 5
Physics-guided machine learning for forming-limit assessments of advanced high-strength steels
Tam Nguyen‐Nhat, Minh Tien Tran, Xuan Minh Nguyen, et al.
International Journal of Mechanical Sciences (2025) Vol. 287, pp. 109959-109959
Closed Access
A physics-informed neural network framework for laminated composite plates under bending
Weixi Wang, Huu‐Tai Thai
Thin-Walled Structures (2025), pp. 113014-113014
Open Access
A review on full-, zero-, and partial-knowledge based predictive models for industrial applications
Stefano Zampini, Guido Parodi, Luca Oneto, et al.
Information Fusion (2025), pp. 102996-102996
Open Access
Unified prediction of uniaxial ratcheting deformation at elevated temperatures with physics-informed multimodal network
Zhen Yu, Xingyue Sun, Ruisi Xing, et al.
International Journal of Plasticity (2025), pp. 104275-104275
Closed Access
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