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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:

Transdimensional and Hamiltonian Monte Carlo inversions of Rayleigh‐wave dispersion curves: a comparison on synthetic datasets
Mattia Aleardi, Alessandro Salusti, Silvio Pierini
Near Surface Geophysics (2020) Vol. 18, Iss. 5, pp. 515-543
Closed Access | Times Cited: 24

Showing 24 citing articles:

Three‐dimensional gravity inversion based on the Hamiltonian Monte Carlo method
Ya Xu, Wei-Ta Chu, Song Huang, et al.
Geophysical Prospecting (2025)
Closed Access
Probabilistic inversion of shear wave velocity profile based on the dispersion curve from multichannel analysis of surface waves and inequality constraints on layer thicknesses
Xiaodong Wang, Zi-Jun Cao, Qiang Zhou, et al.
Engineering Geology (2025), pp. 108063-108063
Closed Access
A convolutional neural network approach to electrical resistivity tomography
Mattia Aleardi, Alessandro Vinciguerra, A. Hojat
Journal of Applied Geophysics (2021) Vol. 193, pp. 104434-104434
Closed Access | Times Cited: 23
Fine Crust‐Mantle Structure of the Major Tectonic Boundaries Between the North China Craton and Central Asian Orogenic Belt Revealed From Rayleigh Wave Phase Velocities and Receiver Functions
Tingwei Yang, Tao Xu, Yinshuang Ai, et al.
Journal of Geophysical Research Solid Earth (2024) Vol. 129, Iss. 7
Closed Access | Times Cited: 3
Acoustic Full Waveform Inversion with Hamiltonian Monte Carlo Method
Paulo Douglas Santos de Lima, Gilberto Corso, M. S. Ferreira, et al.
Physica A Statistical Mechanics and its Applications (2023) Vol. 617, pp. 128618-128618
Open Access | Times Cited: 8
Surface Wave Dispersion Measurement with Polarization Analysis Using Multicomponent Seismic Noise Recorded by a 1-D Linear Array
Jingyin Pang, Jianghai Xia, Feng Cheng, et al.
Surveys in Geophysics (2023) Vol. 44, Iss. 6, pp. 1863-1895
Closed Access | Times Cited: 8
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
Bayesian Seismic Source Inversion With a 3‐D Earth Model of the Japanese Islands
Saulė Simutė, Christian Boehm, Lion Krischer, et al.
Journal of Geophysical Research Solid Earth (2022) Vol. 128, Iss. 1
Open Access | Times Cited: 11
A geostatistical Markov chain Monte Carlo inversion algorithm for electrical resistivity tomography
Mattia Aleardi, Alessandro Vinciguerra, A. Hojat
Near Surface Geophysics (2020) Vol. 19, Iss. 1, pp. 7-26
Closed Access | Times Cited: 16
Discrete cosine transform for parameter space reduction in linear and non-linear AVA inversions
Mattia Aleardi
Journal of Applied Geophysics (2020) Vol. 179, pp. 104106-104106
Closed Access | Times Cited: 14
Application of active-source surface waves in urban underground space detection: a case study of Rongcheng County, Hebei, China
GuangWen Wang, Haiyan Wang, HongQiang Li, et al.
Earth and Planetary Physics (2022) Vol. 6
Open Access | Times Cited: 7
2-D probabilistic inversion of MT data and uncertainty quantification using the Hamiltonian Monte Carlo method
Ronghua Peng, Bo Han, Xiangyun Hu, et al.
Geophysical Journal International (2024) Vol. 237, Iss. 3, pp. 1826-1841
Open Access | Times Cited: 1
Bayesian time‐lapse full waveform inversion using Hamiltonian Monte Carlo
P. D. S. de Lima, M. S. Ferreira, Gilberto Corso, et al.
Geophysical Prospecting (2024)
Open Access | Times Cited: 1
Discrete cosine transform for parameter space reduction in Bayesian electrical resistivity tomography
Alessandro Vinciguerra, Mattia Aleardi, A. Hojat, et al.
Geophysical Prospecting (2021) Vol. 70, Iss. 1, pp. 193-209
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
Reconstruction of the S-Wave Velocity via Mixture Density Networks With a New Rayleigh Wave Dispersion Function
Jianxun Yang, Chen Xu, Ye Zhang
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-13
Closed Access | Times Cited: 3
Integrating deep learning and discrete cosine transform for surface waves full waveform inversion
Felipe Rincón, S. Berti, Mattia Aleardi, et al.
Geophysical Journal International (2024) Vol. 240, Iss. 1, pp. 805-828
Open Access
Joint Inversion of Receiver Function and Surface Wave Dispersion by Hamiltonian Monte Carlo Sampling
Junliu Suwen, Qi‐Fu Chen, Nanqiao Du
Seismological Research Letters (2022) Vol. 94, Iss. 1, pp. 369-384
Closed Access | Times Cited: 2
Ranking of the utility of selected geostatistical interpolation methods in conditions of highly skewed seismic data distributions: a case study of the Baltic Basin (Poland)
Justyna Sowińska-Botor, Wojciech Mastej, Tomasz Maćkowski
Gospodarka Surowcami Mineralnymi - Mineral Resources Management (2023)
Open Access
Discrete Cosine Transform for Parameter Space Reduction in Linear and Non-Linear AVA Inversions
Mattia Aleardi, Alessandro Salusti
(2020), pp. 1-5
Closed Access
Optimization strategy of crossing the desert game based on heuristic algorithm
Yuchen Cai, Xiaohan Liu, Huijing Lian, et al.
(2020) Vol. s94, pp. 445-449
Closed 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
A new mathematical model for dispersion of Rayleigh wave and a machine learning based inversion solver
Jianxun Yang, Xu Chen, Ye Zhang
arXiv (Cornell University) (2021)
Open Access
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