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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 surrogate modeling for hydro-fracture geometry prediction based on deep learning
Yutian Lu, Bo Wang, Yingying Zhao, et al.
Energy (2022) Vol. 253, pp. 124139-124139
Open Access | Times Cited: 16

Showing 16 citing articles:

A critical review on intelligent optimization algorithms and surrogate models for conventional and unconventional reservoir production optimization
Wang Lian, Yuedong Yao, Xiaodong Luo, et al.
Fuel (2023) Vol. 350, pp. 128826-128826
Closed Access | Times Cited: 41
Uncertainty quantification of vibro-acoustic coupling problems for robotic manta ray models based on deep learning
Yilin Qu, Zhongbin Zhou, Leilei Chen, et al.
Ocean Engineering (2024) Vol. 299, pp. 117388-117388
Closed Access | Times Cited: 17
The Application of Physics-Informed Machine Learning in Multiphysics Modeling in Chemical Engineering
Zhi‐Yong Wu, Huan Wang, Chang He, et al.
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 44, pp. 18178-18204
Closed Access | Times Cited: 22
Flow prediction of heterogeneous nanoporous media based on physical information neural network
Liang Zhou, Hai Sun, Dongyan Fan, et al.
Gas Science and Engineering (2024) Vol. 125, pp. 205307-205307
Closed Access | Times Cited: 6
Fracture network characterization with deep generative model based stochastic inversion
Guodong Chen, Xin Luo, Jiu Jimmy Jiao, et al.
Energy (2023) Vol. 273, pp. 127302-127302
Open Access | Times Cited: 14
Physics informed neural networks for surrogate modeling of accidental scenarios in nuclear power plants
Federico Antonello, Jacopo Buongiorno, Enrico Zio
Nuclear Engineering and Technology (2023) Vol. 55, Iss. 9, pp. 3409-3416
Open Access | Times Cited: 12
Identifying nonuniform distributions of rock properties and hydraulic fracture trajectories through deep learning in unconventional reservoirs
QiangSheng He, Zexing Wang, Chuang Liu, et al.
Energy (2024) Vol. 291, pp. 130329-130329
Closed Access | Times Cited: 4
A Variational Formulation of Physics-Informed Neural Network for the Applications of Homogeneous and Heterogeneous Material Properties Identification
Chuang Liu, Heng An Wu
International Journal of Applied Mechanics (2023) Vol. 15, Iss. 08
Closed Access | Times Cited: 11
Surrogate modeling and global sensitivity analysis for the simultaneous growth of multiple hydraulic fractures
Shaoyi Cheng, Bisheng Wu, Ming Zhang, et al.
Computers and Geotechnics (2023) Vol. 162, pp. 105709-105709
Closed Access | Times Cited: 10
A multi-task learning model for fast prediction of mechanical behavior of UD-CFRP composites under transverse tension
Yan Huai, Weihua Xie, Bo Gao, et al.
Composite Structures (2023) Vol. 324, pp. 117555-117555
Closed Access | Times Cited: 10
An innovative end-to-end PINN-based solution for rapidly simulating homogeneous heat flow problems: An adaptive universal physics-guided auto-solver
Yijie Zhao, Donghe Li, Chunhui Wang, et al.
Case Studies in Thermal Engineering (2024) Vol. 56, pp. 104277-104277
Open Access | Times Cited: 3
A nonlocal energy-informed neural network based on peridynamics for elastic solids with discontinuities
Xiang‐Long Yu, Xiaoping Zhou
Computational Mechanics (2023) Vol. 73, Iss. 2, pp. 233-255
Closed Access | Times Cited: 6
A super-real-time three-dimension computing method of digital twins in space nuclear power
Enping Zhu, Tao Li, Jinbiao Xiong, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 417, pp. 116444-116444
Closed Access | Times Cited: 4
Chapter 4: Physically informed deep learning networks for simulating microstructure evolution of 3D polycrystals
Ashley Lenau, Reeju Pokharel, Alexander Scheinker, et al.
(2024)
Open Access
Modeling unobserved geothermal structures using a physics-informed neural network with transfer learning of prior knowledge
Akihiro Shima, Kazuya Ishitsuka, Weiren Lin, et al.
Geothermal Energy (2024) Vol. 12, Iss. 1
Open Access
Multiobjective optimization of perforation design with mechanism learning to increase the stimulated reservoir volume of unconventional reservoirs
Yu Zhang, Fanhui Zeng, Jianchun Guo, et al.
Geoenergy Science and Engineering (2024), pp. 213550-213550
Closed Access
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