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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:

Adaptive transfer learning for PINN
Yang Liu, Liu Wen, Xunshi Yan, et al.
Journal of Computational Physics (2023) Vol. 490, pp. 112291-112291
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

From PINNs to PIKANs: recent advances in physics-informed machine learning
Juan Diego Toscano, Vivek Oommen, Alan John Varghese, et al.
Machine learning for computational science and engineering (2025) Vol. 1, Iss. 1
Closed Access | Times Cited: 5
VW-PINNs: A volume weighting method for PDE residuals in physics-informed neural networks
Jiahao Song, Wenbo Cao, Fei Liao, et al.
Acta Mechanica Sinica (2024) Vol. 41, Iss. 3
Closed Access | Times Cited: 9
Transfer machine learning framework for efficient full-field temperature response reconstruction of thermal protection structures with limited measurement data
Yun Chen, Qiang Chen, Han Ma, et al.
International Journal of Heat and Mass Transfer (2025) Vol. 242, pp. 126785-126785
Closed Access | Times Cited: 1
Estimation of cavitation velocity fields based on limited pressure data through improved U-shaped neural network
Yuhang Xu, Yangyang Sha, Cong Wang, et al.
Physics of Fluids (2023) Vol. 35, Iss. 8
Closed Access | Times Cited: 18
Enhancing convergence speed with feature enforcing physics-informed neural networks using boundary conditions as prior knowledge
Mahyar Jahaninasab, Mohamad Ali Bijarchi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Explainable Transfer Learning for Modeling and Assessing Risks in Tunnel Construction
Hanbin Luo, Jialin Chen, Peter E.D. Love, et al.
IEEE Transactions on Engineering Management (2024) Vol. 71, pp. 8339-8355
Closed Access | Times Cited: 5
Neural network-based hybrid modeling approach incorporating Bayesian optimization with industrial soft sensor application
Zhenhua Yu, Zhongyi Zhang, Qingchao Jiang, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112341-112341
Closed Access | Times Cited: 5
Pre-trained Physics-Informed Neural Networks for Analysis of Contaminant Transport in Soils
Zhenyu Ke, Sheng-Jie Wei, Shi-Yuan Yao, et al.
Computers and Geotechnics (2025) Vol. 180, pp. 107055-107055
Closed Access
Reconstruction of vibration noise in plate structures based on Data-Physics driven model and transfer learning
Hualun Zhou, Xiaodong Song, Yue Huang
The Journal of the Acoustical Society of America (2025) Vol. 157, Iss. 1, pp. 579-594
Closed Access
Fast solution of 3D transport processes using a physics-informed neural network with embedded transfer learning
Laijun Liu, Jiu Luo, Yi Heng
Separation and Purification Technology (2025), pp. 132012-132012
Closed Access
Multi-fidelity modeling method based on adaptive transfer learning
Fu‐Ching Tang, Yubo Li, Jun Huang, et al.
Information Fusion (2025), pp. 103045-103045
Closed Access
Prediction of ground movement-induced pipe responses considering variable PGD magnitudes using physics-informed neural networks and transfer learning
Pouya Taraghi, Yong Li, Samer Adeeb
Engineering Structures (2025) Vol. 332, pp. 120018-120018
Open Access
A physics informed convolution neural network for spatiotemporal temperature analysis of concrete dams
Jiaqi Yang, Jinting Wang, Feng Jin, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110624-110624
Closed Access
Solution and application of two-dimensional seismic wavefield evolution based on physics-informed neural networks
Zhihui Zhu, Wang Zong, Yang Feng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110652-110652
Closed Access
Prediction of 3D temperature field through single 2D temperature data based on transfer learning-based PINN model in laser-based directed energy deposition
Shitong Peng, Shili Yang, Baoyun Gao, et al.
Journal of Manufacturing Processes (2025) Vol. 138, pp. 140-156
Closed Access
Mechanism- and data-driven based dynamic hybrid modeling for multi-condition processes
Yanan Zhang, Gaowei Yan, Shuyi Xiao, et al.
Chemometrics and Intelligent Laboratory Systems (2025), pp. 105353-105353
Closed Access
Adaptive sampling points based multi-scale residual network for solving partial differential equations
Jie Wang, Xinlong Feng, Hui Xu
Computers & Mathematics with Applications (2024) Vol. 169, pp. 223-236
Closed Access | Times Cited: 2
Diffusion Correction in Fricke Hydrogel Dosimeters: A Deep Learning Approach with 2D and 3D Physics-Informed Neural Network Models
M. Romeo, Grazia Cottone, Maria Cristina D’Oca, et al.
Gels (2024) Vol. 10, Iss. 9, pp. 565-565
Open Access | Times Cited: 2
An Improved PINN Algorithm for Shallow Water Equations Driven by Deep Learning
Yanling Li, Qianxing Sun, Junfang Wei, et al.
Symmetry (2024) Vol. 16, Iss. 10, pp. 1376-1376
Open Access | Times Cited: 2
Highly Intelligent Forward Design of Metamaterials Empowered by Circuit‐Physics‐Driven Deep Learning
Yiming Yan, Fajun Li, Jiaqing Shen, et al.
Laser & Photonics Review (2024)
Closed Access | Times Cited: 2
Simulation of 3D turbulent flows using a discretized generative model physics-informed neural networks
A. Khademi, Erfan Salari, Steven Dufour
International Journal of Non-Linear Mechanics (2024), pp. 104988-104988
Closed Access | Times Cited: 1
PGNM: Using Physics-Informed Gated Recurrent Units Network Method to capture the dynamic data feature propagation process of PDEs
Chaodong Chen
Chaos Solitons & Fractals (2024) Vol. 185, pp. 115136-115136
Closed Access
Traffic assignment optimization to improve urban air quality with the unified finite-volume physics-informed neural network
Di Mei, Ziwei Mo, Kangcheng Zhou, et al.
Sustainable Cities and Society (2024) Vol. 114, pp. 105750-105750
Closed Access
An intelligent method for temperature load of arch dams
Jiaqi Yang, Jinting Wang, Jianwen Pan
Engineering Structures (2024) Vol. 321, pp. 118918-118918
Closed Access
AsPINN: Adaptive symmetry-recomposition physics-informed neural networks
Ziti Liu, Yang Liu, Xunshi Yan, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 432, pp. 117405-117405
Closed Access
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