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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:

PMNN: Physical model-driven neural network for solving time-fractional differential equations
Zhiying Ma, Jie Hou, Wenhao Zhu, et al.
Chaos Solitons & Fractals (2023) Vol. 177, pp. 114238-114238
Open Access | Times Cited: 10

Showing 10 citing articles:

PINN neural network method for solving the forward and inverse problem of time-fractional telegraph equation
Fan Yang, Hao Liu, Xiaoxiao Li, et al.
Results in Engineering (2025), pp. 103997-103997
Open Access | Times Cited: 1
Numerical and stability analysis of linear B-spline and local radial basis functions for solving two-dimensional distributed-order time-fractional telegraph models
Mohammadhossein Derakhshan, Yadollah Ordokhani
Journal of Applied Mathematics and Computing (2025)
Closed Access
Data-driven solutions and parameter estimation of the high-dimensional time-fractional reaction-diffusion equations using an improved fPINN method
Jieyu Shi, Xinlong Liu, Xiaozhong Yang
Nonlinear Dynamics (2025)
Closed Access
A novel hybrid framework for efficient higher order ODE solvers using neural networks and block methods
V. Murugesh, M. Priyadharshini, Yogesh Kumar Sharma, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Exploring prototype-guided strategy for domain decomposition in physics-informed neural network
Yanjie Wang, Yaxin Peng, Zhaoping Hu, et al.
Nonlinear Dynamics (2025)
Closed Access
Spectral-fPINNs: spectral method based fractional physics-informed neural networks for solving fractional partial differential equations
Tianxin Zhang, Dazhi Zhang, Shengzhu Shi, et al.
Nonlinear Dynamics (2025)
Closed Access
HNS: An efficient hermite neural solver for solving time-fractional partial differential equations
Jie Hou, Zhiying Ma, Shihui Ying, et al.
Chaos Solitons & Fractals (2024) Vol. 181, pp. 114637-114637
Open Access | Times Cited: 3
Quantitative condition assessment method for rotating machinery using fuzzy neural network
Jiantao Lu, Chenyang Zhang, Rongqing Cui, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086112-086112
Closed Access | Times Cited: 2
Deep neural network method to predict the dynamical system response under random excitation of combined Gaussian and Poisson white noises
Wantao Jia, Xiaotong Feng, Mengli Hao, et al.
Chaos Solitons & Fractals (2024) Vol. 185, pp. 115134-115134
Closed Access | Times Cited: 2
Accurate evaluation on peak shaving capacity of combined-heat-and-power thermal power units based on physical information neural network
Yunxiao Chen, Zizhen Qin, Chaojing Lin, et al.
Applied Thermal Engineering (2024), pp. 124690-124690
Closed Access
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