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:

PINNslope: Seismic data interpolation and local slope estimation with physics informed neural networks
Francesco Brandolin, Matteo Ravasi, Tariq Alkhalifah
Geophysics (2024) Vol. 89, Iss. 4, pp. V331-V345
Open Access | Times Cited: 7

Showing 7 citing articles:

Overcoming the Spectral Bias Problem of Physics-Informed Neural Networks in Solving the Frequency-Domain Acoustic Wave Equation
Xintao Chai, Wenjun Cao, Jianhui Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-20
Closed Access | Times Cited: 4

Sparse wavefield reconstruction based on Physics-Informed neural networks
Bin Xu, Yun Zou, Gaofeng Sha, et al.
Ultrasonics (2025) Vol. 149, pp. 107582-107582
Closed Access

Leveraging physics-informed neural networks in geotechnical earthquake engineering: An assessment on seismic site response analyses
Chenying Liu, Jorge Macedo, Alexander Sánchez-Rodríguez
Computers and Geotechnics (2025) Vol. 182, pp. 107137-107137
Closed Access

Unsupervised seismic reconstruction via deep learning with one-dimensional signal representation
Gui Chen, Yang Liu, Mi Zhang, et al.
Computers & Geosciences (2025), pp. 105916-105916
Closed Access

Deep learning-based off-the-grid seismic data reconstruction and regularization: a preliminary research
Tongtong Mo, Jiawen Song, Zhuowei Li, et al.
Geophysics (2024), pp. 1-62
Closed Access

On a computational paradigm for a class of fractional order direct and inverse problems in terms of physics-informed neural networks with the attention mechanism
M. Srati, A. Oulmelk, Lekbir Afraites, et al.
Journal of Computational Science (2024) Vol. 85, pp. 102514-102514
Closed Access

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