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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:

Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear partial differential equations
Jinshuai Bai, Guirong Liu, Ashish Gupta, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 415, pp. 116290-116290
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Peridynamic fracture analysis of film–substrate systems
Shiyuan Chu, Jinshuai Bai, Zilong Zhao, et al.
Journal of the Mechanics and Physics of Solids (2024) Vol. 191, pp. 105757-105757
Closed Access | Times Cited: 9
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: 8
Physics informed neural networks for an inverse problem in peridynamic models
Fabio V. Difonzo, L. Lopez, Sabrina Francesca Pellegrino
Engineering With Computers (2024)
Open Access | Times Cited: 7
Kolmogorov–Arnold-Informed Neural Network: A Physics-Informed Deep Learning Framework for Solving Pdes Based on Kolmogorov–Arnold Networks
Yizheng Wang, Jia Sun, Jinshuai Bai, et al.
(2024)
Closed Access | Times Cited: 7
A robust radial point interpolation method empowered with neural network solvers (RPIM-NNS) for nonlinear solid mechanics
Jinshuai Bai, Gui-Rong Liu, Timon Rabczuk, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 429, pp. 117159-117159
Open Access | Times Cited: 6
Physics-informed radial basis function neural network for efficiently modeling oil–water two-phase Darcy flow
Shuaijun Lv, Daolun Li, Wenshu Zha, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
Scaled asymptotic solution nets for unlabeled seepage equation solutions with variable well flow
Qian Wang, Daolun Li, Wenshu Zha, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
Efficient global sensitivity analysis framework and approach for structures with hybrid uncertainties
Jin‐Xing Liu, Yan Shi, Chen Ding, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 436, pp. 117726-117726
Open Access
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
FE-PIRBN:Feature-Enhanced physics-informed radial basis neural networks for solving high-frequency electromagnetic scattering problems
Huimin Zhang, Chao Li, Rui Xia, et al.
Journal of Computational Physics (2025), pp. 113798-113798
Closed Access
Advanced machine learning technique for solving elliptic partial differential equations using Legendre spectral neural networks
Ishtiaq Ali
Electronic Research Archive (2025) Vol. 33, Iss. 2, pp. 826-848
Open Access
A Physics-Informed Neural Network framework to investigate nonlinear and heterogenous shrinkage of drying plant cells
Chanaka Batuwatta-Gamage, Charith Rathnayaka, H.C.P. Karunasena, et al.
International Journal of Mechanical Sciences (2024) Vol. 275, pp. 109267-109267
Open Access | Times Cited: 4
A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov–Arnold Networks
Yizheng Wang, Jia Sun, Jinshuai Bai, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 433, pp. 117518-117518
Closed Access | Times Cited: 4
A systematic and bibliometric review on physics-based neural networks applications as a solution for structural engineering partial differential equations
Ahed Habib, Ausamah AL Houri, M. Talha Junaid, et al.
Structures (2024) Vol. 69, pp. 107361-107361
Closed Access | Times Cited: 4
A comprehensive review of advances in physics-informed neural networks and their applications in complex fluid dynamics
Chi Zhao, Feifei Zhang, Wenqiang Lou, et al.
Physics of Fluids (2024) Vol. 36, Iss. 10
Closed Access | Times Cited: 4
Physics-constrained deep learning approach for solving inverse problems in composite laminated plates
Yang Li, Detao Wan, Zhe Wang, et al.
Composite Structures (2024) Vol. 348, pp. 118514-118514
Closed Access | Times Cited: 3
FINER: Flexible Spectral-Bias Tuning in Implicit NEural Representation by Variableperiodic Activation Functions
Zhen Liu, Hao Zhu, Qi Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 31, pp. 2713-2722
Closed Access | Times Cited: 2
Mathematical Modeling on a Physics-Informed Radial Basis Function Network
Dmitry A. Stenkin, Vladimir Gorbachenko
Mathematics (2024) Vol. 12, Iss. 2, pp. 241-241
Open Access | Times Cited: 1
RBF-Assisted Hybrid Neural Network for Solving Partial Differential Equations
Ying Li, Wei Gao, Shihui Ying
Mathematics (2024) Vol. 12, Iss. 11, pp. 1617-1617
Open Access | Times Cited: 1
Design and development of different adaptive MPPT controllers for renewable energy systems: a comprehensive analysis
Bongani Eswaraiah, Kethineni Balakrishna
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Randomized Radial Basis Function Neural Network for Solving Multiscale Elliptic Equations
Yuhang Wu, Ziyuan Liu, Wenjun Sun, et al.
(2024)
Closed Access
Physics-informed radial basis networks for force finding of cable domes
Mingliang Zhu, Jin Wang, Jiamin Guo
Thin-Walled Structures (2024) Vol. 206, pp. 112675-112675
Closed Access
Self-Activated Implicit Neural Representation for Synthetic Aperture Radar Images
Dongshen Han, Chaoning Zhang
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4473-4473
Open Access
A meshless Runge-Kutta-based Physics-Informed Neural Network framework for structural vibration analysis
Shusheng Xiao, Jinshuai Bai, Hyogu Jeong, et al.
Engineering Analysis with Boundary Elements (2024) Vol. 170, pp. 106054-106054
Closed Access
НЕЙРОЕВОЛЮЦІЙНИЙ МЕТОД КОЛОКАЦІЇ РОЗВ’ЯЗАННЯ ДИФЕРЕНЦІАЛЬНИХ РІВНЯНЬ
А. О. Ярош, Oleksii Kudin
Таврійський науковий вісник Серія Технічні науки (2024), Iss. 6, pp. 72-81
Open Access
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