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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 hybrid residual neural network–Monte Carlo approach to invert surface wave dispersion data
Mattia Aleardi, E. Stucchi
Near Surface Geophysics (2021) Vol. 19, Iss. 4, pp. 397-414
Open Access | Times Cited: 16

Showing 16 citing articles:

Fast Forecasting of Water-Filled Bodies Position Using Transient Electromagnetic Method Based on Deep Learning
Rongjiang Tang, Fusheng Li, Fengli Shen, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-13
Closed Access | Times Cited: 6
Machine learning for seismic exploration: Where are we and how far are we from the holy grail?
Farbod Khosro Anjom, Francesco Vaccarino, Laura Valentina Socco
Geophysics (2023) Vol. 89, Iss. 1, pp. WA157-WA178
Open Access | Times Cited: 8
A probabilistic full waveform inversion of surface waves
S. Berti, Mattia Aleardi, E. Stucchi
Geophysical Prospecting (2024) Vol. 72, Iss. 9, pp. 3448-3473
Open Access | Times Cited: 2
Sizing PV and BESS for Grid-Connected Microgrid Resilience: A Data-Driven Hybrid Optimization Approach
Mahtab Murshed, Manohar Chamana, Konrad Schmitt, et al.
Energies (2023) Vol. 16, Iss. 21, pp. 7300-7300
Open Access | Times Cited: 6
Constructing shear velocity models from surface wave dispersion curves using deep learning
Yinhe Luo, Yao Huang, Yingjie Yang, et al.
Journal of Applied Geophysics (2021) Vol. 196, pp. 104524-104524
Closed Access | Times Cited: 15
Iterative prior resampling and rejection sampling to improve 1-D geophysical imaging based on Bayesian evidential learning (BEL1D)
Hadrien Michel, Thomas Hermans, Frédéric Nguyen
Geophysical Journal International (2022) Vol. 232, Iss. 2, pp. 958-974
Open Access | Times Cited: 8
Uncertainty quantification of multimodal surface wave inversion using artificial neural networks
A. V. Yablokov, Yevgeniya Lugovtsova, A. S. Serdyukov
Geophysics (2022) Vol. 88, Iss. 2, pp. KS1-KS11
Open Access | Times Cited: 6
Application of a global–local full‐waveform inversion of Rayleigh wave to estimate the near‐surface shear wave velocity model
Salvatore Lamuraglia, E. Stucchi, Mattia Aleardi
Near Surface Geophysics (2022) Vol. 21, Iss. 1, pp. 21-38
Closed Access | Times Cited: 5
Fast Advanced Prediction of water-filled Structure using Transient Electromagnetic Method based on Deep Learning
Rongjiang Tang, Fusheng Li, Fengli Shen, et al.
(2023)
Open Access | Times Cited: 2
Prediction of S‐wave velocity models from surface waves using deep learning
Sangin Cho, Sukjoon Pyun, Byunghoon Choi, et al.
Near Surface Geophysics (2023) Vol. 22, Iss. 3, pp. 281-297
Closed Access | Times Cited: 2
Renewable Energy Integration for Power Outage Mitigation: A Data-Driven Approach in Advancing Grid Resilience Strategies
Mahtab Murshed, Manohar Chamana, Konrad Schmitt, et al.
(2023)
Open Access | Times Cited: 1
Extrapolated surface-wave dispersion inversion
Hongyu Sun, Laurent Demanet
Second International Meeting for Applied Geoscience & Energy (2022), pp. 2060-2065
Closed Access | Times Cited: 2
Rapid construction of Rayleigh wave dispersion curve based on deep learning
Diyu Cui, Lijing Shi, Kai Gao
Frontiers in Earth Science (2023) Vol. 10
Open Access
Fast Advanced Prediction of water-filled Structure using Transient Electromagnetic Method based on Deep Learning
Rongjiang Tang, Fusheng Li, Fengli Shen, et al.
(2023)
Open Access
Uncertainty quantification of multi-modal surface wave inversion using artificial neural networks
A. V. Yablokov, Yevgeniya Lugovtsova, A. S. Serdyukov
EarthArXiv (California Digital Library) (2022)
Open Access
Uncertainty quantification of phase velocity surface waves multy-modal inversion using machine learning
A. V. Yablokov, A. S. Serdyukov
Interexpo GEO-Siberia (2022) Vol. 2, Iss. 2, pp. 312-318
Closed Access
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