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:
ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations
Junjun Yan, Xinhai Chen, Zhichao Wang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Open Access | Times Cited: 8
Junjun Yan, Xinhai Chen, Zhichao Wang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Open Access | Times Cited: 8
Showing 8 citing articles:
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
Mahyar Jahaninasab, Mohamad Ali Bijarchi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
State prediction for multiple diffusion targets based on point pattern physics-informed neural network
Qiankun Sun, Lei Cai, Xiaochen Qin
Neurocomputing (2025), pp. 129714-129714
Closed Access
Qiankun Sun, Lei Cai, Xiaochen Qin
Neurocomputing (2025), pp. 129714-129714
Closed Access
A physics-informed generative adversarial network for advancing solutions in ocean acoustics
Rui Xia, Xiaowei Guo, Huimin Zhang, et al.
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
Rui Xia, Xiaowei Guo, Huimin Zhang, et al.
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
Towards a new paradigm in intelligence-driven computational fluid dynamics simulations
Xinhai Chen, Zhichao Wang, Liang Deng, et al.
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Xinhai Chen, Zhichao Wang, Liang Deng, et al.
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Enhanced Physics-Informed Neural Networks with Optimized Sensor Placement via Multi-Criteria Adaptive Sampling
Chenhong Zhou, Jie Chen, Zaifeng Yang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 19, pp. 1-8
Closed Access
Chenhong Zhou, Jie Chen, Zaifeng Yang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 19, pp. 1-8
Closed Access
MH-DCNet: An improved flow field prediction framework coupling neural network with physics solver
Qisong Xiao, Xinhai Chen, Jie Liu, et al.
Computers & Fluids (2024), pp. 106440-106440
Closed Access
Qisong Xiao, Xinhai Chen, Jie Liu, et al.
Computers & Fluids (2024), pp. 106440-106440
Closed Access
Closed-Boundary Reflections of Shallow Water Waves as an Open Challenge for Physics-Informed Neural Networks
Kubilay Timur Demir, Kai Logemann, David S. Greenberg
Mathematics (2024) Vol. 12, Iss. 21, pp. 3315-3315
Open Access
Kubilay Timur Demir, Kai Logemann, David S. Greenberg
Mathematics (2024) Vol. 12, Iss. 21, pp. 3315-3315
Open Access
Accelerating Training Time with Feature Enforcing- Physics Informed Neural Network (Fe-Pinn): Utilizing Boundary Conditions as Prior Knowledge for Faster Convergence
Mahyar Jahaninasab, Mohamad Ali Bijarchi
(2023)
Closed Access
Mahyar Jahaninasab, Mohamad Ali Bijarchi
(2023)
Closed Access
