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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 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

Showing 1-25 of 30 citing articles:

Novel DeepONet architecture to predict stresses in elastoplastic structures with variable complex geometries and loads
Junyan He, Seid Korić, Shashank Kushwaha, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 415, pp. 116277-116277
Open Access | Times Cited: 50
Sequential Deep Operator Networks (S-DeepONet) for predicting full-field solutions under time-dependent loads
Junyan He, Shashank Kushwaha, Jaewan Park, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107258-107258
Open Access | Times Cited: 41
Deep learning in computational mechanics: a review
Leon Herrmann, Stefan Kollmannsberger
Computational Mechanics (2024) Vol. 74, Iss. 2, pp. 281-331
Open Access | Times Cited: 28
Inverse design of 3D cellular materials with physics-guided machine learning
Mohammad Abu-Mualla, Jida Huang
Materials & Design (2023) Vol. 232, pp. 112103-112103
Open Access | Times Cited: 24
A thermodynamics-informed deep learning approach for lightweight modeling of gas turbine performance
Xiaomo Jiang, Yiyang Liu, Manman Wei, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110022-110022
Closed Access | Times Cited: 1
Transfer Learning-Enhanced Finite Element-Integrated Neural Networks
Ning Zhang, Kunpeng Xu, Zhen‐Yu Yin, et al.
International Journal of Mechanical Sciences (2025), pp. 110075-110075
Open Access | Times Cited: 1
StressD: 2D Stress estimation using denoising diffusion model
Yayati Jadhav, Joseph T. Berthel, Chunshan Hu, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 416, pp. 116343-116343
Open Access | Times Cited: 18
Physics‐informed neural networks for large deflection analysis of slender piles incorporating non‐differentiable soil‐structure interaction
Weihang Ouyang, Guanhua Li, Liang Chen, et al.
International Journal for Numerical and Analytical Methods in Geomechanics (2024) Vol. 48, Iss. 5, pp. 1278-1308
Closed Access | Times Cited: 7
Advanced deep operator networks to predict multiphysics solution fields in materials processing and additive manufacturing
Shashank Kushwaha, Jaewan Park, Seid Korić, et al.
Additive manufacturing (2024) Vol. 88, pp. 104266-104266
Open Access | Times Cited: 7
En-DeepONet: An enrichment approach for enhancing the expressivity of neural operators with applications to seismology
Ehsan Haghighat, Umair bin Waheed, George Em Karniadakis
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 420, pp. 116681-116681
Closed Access | Times Cited: 15
Adaptive Data-Driven Deep-Learning Surrogate Model for Frontal Polymerization in Dicyclopentadiene
Qibang Liu, Diab W. Abueidda, Sagar Vyas, et al.
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 5, pp. 1220-1230
Closed Access | Times Cited: 5
An artificial neural network model for determining stress concentration factors for fatigue design of tubular T-joint under compressive loads
Adnan Rasul, Saravanan Karuppanan, Veeradasan Perumal, et al.
International Journal of Structural Integrity (2024) Vol. 15, Iss. 4, pp. 633-652
Open Access | Times Cited: 5
A rapid unsaturated infiltration prediction method for slope stability analysis considering uncertainties: Deep operator networks
Peng Lan, Jinsong Huang, Jingjing Su, et al.
Engineering Geology (2025), pp. 107886-107886
Closed Access
Deep operator networks for bioheat transfer problems with parameterized laser source functions
Aditya Roy, Andrew DuPlissis, Biswajit Mishra, et al.
International Journal of Heat and Mass Transfer (2024) Vol. 228, pp. 125659-125659
Closed Access | Times Cited: 4
A machine learning based multi-scale finite element framework for nonlinear composite materials
Yijing Zhou, Shabnam J. Semnani
Engineering With Computers (2025)
Open Access
Improving the accuracy of the deep energy method
Charul Chadha, Junyan He, Diab W. Abueidda, et al.
Acta Mechanica (2023) Vol. 234, Iss. 12, pp. 5975-5998
Open Access | Times Cited: 10
A hybrid Decoder-DeepONet operator regression framework for unaligned observation data
Bo Chen, Chenyu Wang, Weipeng Li, et al.
Physics of Fluids (2024) Vol. 36, Iss. 2
Open Access | Times Cited: 3
A fast general thermal simulation model based on Multi-Branch Physics-Informed deep operator neural network
Zibo Lu, Yuanye Zhou, Yanbo Zhang, et al.
Physics of Fluids (2024) Vol. 36, Iss. 3
Open Access | Times Cited: 3
Empirical modeling of stress concentration factors using artificial neural networks for fatigue design of tubular T-joint under in-plane and out-of-Plane bending moments
Adnan Rasul, Saravanan Karuppanan, Veeradasan Perumal, et al.
International Journal of Structural Integrity (2024) Vol. 15, Iss. 4, pp. 757-776
Closed Access | Times Cited: 3
Modelling ductile damage in metals and alloys through Weyl condition exploiting local gauge symmetries
Sanjeev Kumar
International Journal of Solids and Structures (2024) Vol. 296, pp. 112820-112820
Closed Access | Times Cited: 2
Geom-DeepONet: A point-cloud-based deep operator network for field predictions on 3D parameterized geometries
Junyan He, Seid Korić, Diab W. Abueidda, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 429, pp. 117130-117130
Open Access | Times Cited: 2
Neural networks-based line element method for large deflection frame analysis
Weihang Ouyang, Liang Chen, An-Rui Liang, et al.
Computers & Structures (2024) Vol. 300, pp. 107425-107425
Closed Access | Times Cited: 1
A deep neural network for operator learning enhanced by attention and gating mechanisms for long-time forecasting of tumor growth
Qijing Chen, He Li, Xiaoning Zheng
Engineering With Computers (2024)
Closed Access | Times Cited: 1
A Finite Operator Learning Technique for Mapping the Elastic Properties of Microstructures to Their Mechanical Deformations
Shahed Rezaei, Reza Najian Asl, Shirko Faroughi, et al.
International Journal for Numerical Methods in Engineering (2024)
Open Access | Times Cited: 1
Neural operator Res-FNO based on dual-view feature fusion and Fourier transform
Jinghong Xu, Yuqian Zhou, Qian Liu
Digital Signal Processing (2024) Vol. 148, pp. 104468-104468
Closed Access
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