OOIR: Observatory of International Research

Papers

(The H4-Index of Geophysics is 30. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-07-01 to 2024-07-01.)

Article	Citations
Physics-guided deep learning for seismic inversion with hybrid training and uncertainty analysis	75
Detection of road cavities in urban cities by 3D ground-penetrating radar	68
Petrophysical properties prediction from prestack seismic data using convolutional neural networks	67
Mapping full seismic waveforms to vertical velocity profiles by deep learning	65
Deep-learning seismic full-waveform inversion for realistic structural models	62
An unsupervised deep-learning method for porosity estimation based on poststack seismic data	60
Seismic data interpolation based on U-net with texture loss	58
A convolutional neural network approach to deblending seismic data	56
Application of machine learning to microseismic event detection in distributed acoustic sensing data	54
Deep-seismic-prior-based reconstruction of seismic data using convolutional neural networks	53
Deep learning for multidimensional seismic impedance inversion	52
Data-driven low-frequency signal recovery using deep-learning predictions in full-waveform inversion	51
Uncertainty quantification in fault detection using convolutional neural networks	47
Physics-driven deep-learning inversion with application to transient electromagnetics	47
Fast imaging of time-domain airborne EM data using deep learning technology	47
Double-scale supervised inversion with a data-driven forward model for low-frequency impedance recovery	40
Evidence-based guidelines for protective actions and earthquake early warning systems	39
Automatic seismic facies interpretation using supervised deep learning	39
Reparameterized full-waveform inversion using deep neural networks	38
Modeling of fiber-optic strain responses to hydraulic fracturing	38
Integrating deep neural networks with full-waveform inversion: Reparameterization, regularization, and uncertainty quantification	37
Automatic velocity picking from semblances with a new deep-learning regression strategy: Comparison with a classification approach	37
ML-descent: An optimization algorithm for full-waveform inversion using machine learning	37
Near-surface imaging from traffic-induced surface waves with dense linear arrays: An application in the urban area of Hangzhou, China	35
Automatic fault detection on seismic images using a multiscale attention convolutional neural network	35

Fluid and lithofacies prediction based on integration of well-log data and seismic inversion: A machine-learning approach	35
Automatic waveform-based source-location imaging using deep learning extracted microseismic signals	35
Lithology identification from well-log curves via neural networks with additional geologic constraint	33
A robust first-arrival picking workflow using convolutional and recurrent neural networks	32
Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples	31
Bayesian petroelastic inversion with multiple prior models	30
Elastic prestack seismic inversion through discrete cosine transform reparameterization and convolutional neural networks	30
The W transform	30