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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:

A comprehensive review of seismic inversion based on neural networks
Ming Li, Xuesong Yan, Mingzhao Zhang
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 2991-3021
Closed Access | Times Cited: 9

Showing 9 citing articles:

Comparison of neural networks techniques to predict subsurface parameters based on seismic inversion: a machine learning approach
Nitin Verma, S. P. Maurya, Ravi Kant, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1031-1052
Closed Access | Times Cited: 10
Enhanced fluid discrimination in reservoir rocks using deep learning-based seismic inversion with poroelastic modelling
Badreldein Mohameda, Song Jianguoa
(2025), pp. 19-21
Closed Access
Deep-Learning-Based Simulation and Inversion of Transient Electromagnetic Sounding Signals in Permafrost Monitoring Problem
О.В. Нечаев, K.N. Danilovskiy, I.V. Mikhaylov
Russian Geology and Geophysics (2024) Vol. 65, Iss. 7, pp. 871-879
Closed Access | Times Cited: 4
Sensitivity Analysis of P-Wave Polarization Direction and Velocity Gradient Inversion
Jingru Zhao, Xi‐Li Jing, Zhiyong Yin, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 877-877
Open Access
Seismic performance prediction of a slope-pile-anchor coupled reinforcement system using recurrent neural networks
Meng Wu, Xi Xu, Xu Han, et al.
Engineering Geology (2024) Vol. 338, pp. 107623-107623
Closed Access | Times Cited: 3
Ensemble smoother with fully convolutional VAE for seismic facies inversion
Rodrigo Exterkoetter, Leandro Passos de Figueiredo, Fernando Bordignon, et al.
Computers & Geosciences (2024) Vol. 189, pp. 105619-105619
Closed Access | Times Cited: 1
Seismic inversion based on principal component analysis and probabilistic neural network for prediction of porosity from post-stack seismic data
Nitin Verma, Ravi Kant, S. P. Maurya, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Fully Convolutional Network-Enhanced DeepONet-Based Surrogate of Predicting the Travel-Time Fields
Yifan Mei, Yijie Zhang, Xueyu Zhu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-12
Closed Access
Seismic coloured inversion to explore the hydrocarbon prospectivity of a field in the Upper Assam basin
Siddharth Garia, Arnab Kumar Pal, Shreya Katre, et al.
Exploration Geophysics (2024) Vol. 55, Iss. 6, pp. 752-774
Closed Access
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