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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:

Enhancing PINNs for solving PDEs via adaptive collocation point movement and adaptive loss weighting
Jie Hou, Ying Li, Shihui Ying
Nonlinear Dynamics (2023) Vol. 111, Iss. 16, pp. 15233-15261
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Prediction of soliton evolution and equation parameters for NLS–MB equation based on the phPINN algorithm
Su-Yong Xu, Qin Zhou, Wei Liu
Nonlinear Dynamics (2023) Vol. 111, Iss. 19, pp. 18401-18417
Closed Access | Times Cited: 49
Data-driven vector degenerate and nondegenerate solitons of coupled nonlocal nonlinear Schrödinger equation via improved PINN algorithm
Wei-Xin Qiu, Zhi‐Zeng Si, Da-Sheng Mou, et al.
Nonlinear Dynamics (2024)
Closed Access | Times Cited: 29
Data-driven forward-inverse problems of the 2-coupled mixed derivative nonlinear Schrödinger equation using deep learning
Wei-Xin Qiu, Kai-Li Geng, Bo-Wei Zhu, et al.
Nonlinear Dynamics (2024) Vol. 112, Iss. 12, pp. 10215-10228
Closed Access | Times Cited: 27
Wronskian solutions and linear superposition of rational solutions to B-type Kadomtsev–Petviashvili equation
Yu Chen, Xing Lü
Physics of Fluids (2023) Vol. 35, Iss. 10
Open Access | Times Cited: 40
Understanding Physics-Informed Neural Networks: Techniques, Applications, Trends, and Challenges
Amer Farea, Olli Yli‐Harja, Frank Emmert‐Streib
AI (2024) Vol. 5, Iss. 3, pp. 1534-1557
Open Access | Times Cited: 15
Physics-informed neural networks with domain decomposition for the incompressible Navier–Stokes equations
Linyan Gu, Shanlin Qin, Lei Xu, et al.
Physics of Fluids (2024) Vol. 36, Iss. 2
Open Access | Times Cited: 14
Adaptive finite element interpolated neural networks
Santiago Badia, Wei Li, Alberto F. Martı́n
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117806-117806
Open Access | Times Cited: 1
Stable weight updating: A key to reliable PDE solutions using deep learning
Amir Noorizadegan, Roberto Cavoretto, D.L. Young, et al.
Engineering Analysis with Boundary Elements (2024) Vol. 168, pp. 105933-105933
Open Access | Times Cited: 6
Stacked networks improve physics-informed training: Applications to neural networks and deep operator networks
Amanda A. Howard, Sarah H. Murphy, Shady E. Ahmed, et al.
Foundations of Data Science (2024) Vol. 7, Iss. 1, pp. 134-162
Open Access | Times Cited: 5
An improved physics-informed neural network with adaptive weighting and mixed differentiation for solving the incompressible Navier–Stokes equations
Jie Wang, Xufeng Xiao, Xinlong Feng, et al.
Nonlinear Dynamics (2024) Vol. 112, Iss. 18, pp. 16113-16134
Closed Access | Times Cited: 4
A study of mechanism-data hybrid-driven method for multibody system via physics-informed neural network
Ningning Song, Chuanda Wang, Haijun Peng, et al.
Acta Mechanica Sinica (2024) Vol. 41, Iss. 3
Closed Access | Times Cited: 4
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
Adversarial and self-adaptive domain decomposition physics-informed neural networks for high-order differential equations with discontinuities
Mingsheng Peng, Hesheng Tang, Yanhong Kou
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110156-110156
Closed Access
A novel elliptic grid generation method based on output range-constrained neural network
Huaijun Yue, Wentao Jiang
Mechanics of Advanced Materials and Structures (2025), pp. 1-13
Closed Access
Physics‐Informed Extreme Learning Machine Applied for Eigenmode Analysis of Waveguides and Transmission Lines
Li Huang, Liang Chen, Rongchuan Bai
International Journal of RF and Microwave Computer-Aided Engineering (2025) Vol. 2025, Iss. 1
Open Access
Improved physics-informed neural network in mitigating gradient-related failures
Pancheng Niu, Jun Guo, Yongming Chen, et al.
Neurocomputing (2025), pp. 130167-130167
Closed Access
Solving partial differential equations using large-data models: a literature review
Abdul Mueed Hafiz, Irfan Faiq, M. Hassaballah
Artificial Intelligence Review (2024) Vol. 57, Iss. 6
Open Access | Times Cited: 3
Trans-Net: A transferable pretrained neural networks based on temporal domain decomposition for solving partial differential equations
D Zhang, Ying Li, Shihui Ying
Computer Physics Communications (2024) Vol. 299, pp. 109130-109130
Closed Access | Times Cited: 2
Prediction of self-similar waves in tapered graded index diffraction decreasing waveguide by the A-gPINN method
Lang Li, Wei-Xin Qiu, Chao‐Qing Dai, et al.
Nonlinear Dynamics (2024) Vol. 112, Iss. 12, pp. 10319-10340
Closed Access | Times Cited: 2
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: 2
A multifidelity approach to continual learning for physical systems
Amanda A. Howard, Yucheng Fu, Panos Stinis
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 025042-025042
Open Access | Times Cited: 1
Empirical loss weight optimization for PINN modeling laser bio-effects on human skin for the 1D heat equation
Jenny Farmer, C. Oian, Brett A. Bowman, et al.
Machine Learning with Applications (2024) Vol. 16, pp. 100563-100563
Open Access | Times Cited: 1
Solving large-scale variational inequalities with dynamically adjusting initial condition in physics-informed neural networks
Dawen Wu, Ludovic Chamoin, Abdel Lisser
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 429, pp. 117156-117156
Closed Access | Times Cited: 1
Deep Adaptive Sampling for Surrogate Modeling Without Labeled Data
Xili Wang, Kejun Tang, Jiayu Zhai, et al.
Journal of Scientific Computing (2024) Vol. 101, Iss. 3
Closed Access | Times Cited: 1
3-D full-field reconstruction of chemically reacting flow towards high-dimension conditions through machine learning
Linzheng Wang, Ruiqu Deng, Ruizhi Zhang, et al.
Chemical Engineering Journal (2024), pp. 156435-156435
Closed Access | Times Cited: 1
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