Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Joint Inversion of Geophysical Data for Geologic Carbon Sequestration Monitoring: A Differentiable Physics‐Informed Neural Network Model
Mingliang Liu, Divakar Vashisth, Darío Graña, et al.
Journal of Geophysical Research Solid Earth (2023) Vol. 128, Iss. 3
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Exploring hydrogen geologic storage in China for future energy: Opportunities and challenges
Zhengyang Du, Zhenxue Dai, Zhijie Yang, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 196, pp. 114366-114366
Closed Access | Times Cited: 20
A critical review of physics-informed machine learning applications in subsurface energy systems
Abdeldjalil Latrach, Mohamed Lamine Malki, Misael M. Morales, et al.
Geoenergy Science and Engineering (2024) Vol. 239, pp. 212938-212938
Open Access | Times Cited: 18
Underground hydrogen storage leakage detection and characterization based on machine learning of sparse seismic data
Kai Gao, Neala Creasy, Lianjie Huang, et al.
International Journal of Hydrogen Energy (2024) Vol. 61, pp. 137-161
Closed Access | Times Cited: 9
Time-lapse seismic inversion for CO2 saturation with SeisCO2Net: An application to Frio-II site
Zi Xian Leong, Tieyuan Zhu, Alexander Y. Sun
International journal of greenhouse gas control (2024) Vol. 132, pp. 104058-104058
Closed Access | Times Cited: 7
Review of physics-informed machine-learning inversion of geophysical data
Gerard T. Schuster, Yuqing Chen, Shihang Feng
Geophysics (2024) Vol. 89, Iss. 6, pp. T337-T356
Closed Access | Times Cited: 7
Application of Physics-Informed Neural Networks for Estimation of Saturation Functions from Countercurrent Spontaneous Imbibition Tests
Jassem Abbasi, Pål Østebø Andersen
SPE Journal (2024) Vol. 29, Iss. 04, pp. 1710-1729
Closed Access | Times Cited: 5
Deep Learning–Assisted Multiobjective Optimization of Geological CO2 Storage Performance under Geomechanical Risks
Fangning Zheng, Zhiwei Ma, Hari Viswanathan, et al.
SPE Journal (2025), pp. 1-16
Closed Access
Coupled Flow-Geomechanics Surrogate Model with Flexible Boundary Conditions for Geological CO2 Storage Using Fourier Neural Operator Based Gated Recurrent Network
Shouxu Qiao, W. BenSaleh, Bo Zhang
SPE Reservoir Simulation Conference (2025)
Closed Access
Assimilation of Geophysics-Derived Spatial Data for Model Calibration in Geologic CO2 Sequestration
Bailian Chen, Misael M. Morales, Zhiwei Ma, et al.
SPE Journal (2024) Vol. 29, Iss. 07, pp. 3791-3800
Closed Access | Times Cited: 4
The Joint Bayesian Inversion of CSAMT and DC Data for the Jinba Gold Mine in Xinjiang Using Physical Property Priors
Qianwei Dai, Dan Duan, Yun Wu, et al.
Minerals (2025) Vol. 15, Iss. 3, pp. 299-299
Open Access
Prediction of stratified ground consolidation via a physics‐informed neural network utilizing short‐term excess pore water pressure monitoring data
Weibing Gong, Linlong Zuo, Lin Li, et al.
Computer-Aided Civil and Infrastructure Engineering (2024)
Open Access | Times Cited: 3
Probabilistic physics-informed neural network for seismic petrophysical inversion
Peng Li, Mingliang Liu, Motaz Alfarraj, et al.
Geophysics (2023) Vol. 89, Iss. 2, pp. M17-M32
Closed Access | Times Cited: 7
Multimodal surface wave inversion with automatic differentiation
Feng Liu, Junlun Li, Lei Fu, et al.
Geophysical Journal International (2024) Vol. 238, Iss. 1, pp. 290-312
Open Access | Times Cited: 2
Deep Learning Assisted Multi-Objective Optimization of Geological CO2 Storage Under Geomechanical Risks
Fangning Zheng, Zhen-Yu Ma, Hari Viswanathan, et al.
SPE Annual Technical Conference and Exhibition (2024) Vol. 23
Closed Access | Times Cited: 2
Spatio-temporal neural networks for monitoring and prediction of CO2 plume migration from measurable field data
Yingxiang Liu, Zhen Qin, Fangning Zheng, et al.
Journal of Cleaner Production (2024), pp. 144080-144080
Closed Access | Times Cited: 2
A Critical Review of Physics-Informed Machine Learning Applications in Subsurface Energy Systems
Abdeldjalil Latrach, Mohamed Lamine Malki, Misael M. Morales, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 4
Geostatistical Inversion for Subsurface Characterization Using Stein Variational Gradient Descent With Autoencoder Neural Network: An Application to Geologic Carbon Sequestration
Mingliang Liu, Darío Graña, Tapan Mukerji
Journal of Geophysical Research Solid Earth (2024) Vol. 129, Iss. 7
Open Access | Times Cited: 1
A Test-Time Learning Approach to Reparameterize the Geophysical Inverse Problem with a Convolutional Neural Network
A. Xu, Lindsey Heagy
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-12
Open Access | Times Cited: 1
Deep joint inversion of multiple geophysical data with U-net reparameterization
Rui Guo, Hongyu Zhou, Xiaolong Wei, et al.
Geophysics (2024) Vol. 90, Iss. 3, pp. WA61-WA75
Closed Access | Times Cited: 1
Exhaustive Review of CO2 Sequestration in Depleted Hydrocarbon Reservoirs: Recent Advances, Challenges and Future Prospects
Kaloucha Kanga Nsiama, Long Yu, Fei Wang, et al.
Energy & Fuels (2024) Vol. 38, Iss. 22, pp. 21701-21734
Closed Access | Times Cited: 1
Robust 3D Joint Inversion of Gravity and Magnetic Data: A High-Performance Computing Approach
Abraham Del Razo Gonzalez, Vsevolod Yutsis
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11292-11292
Open Access | Times Cited: 3
Enhancing seismic porosity estimation through 3D sequence-to-sequence deep learning with data augmentation, spatial constraints, and geologic constraints
Minghui Xu, Luanxiao Zhao, Jingyu Liu, et al.
Geophysics (2024) Vol. 89, Iss. 4, pp. M93-M108
Closed Access
Bayesian neural network and Bayesian physics-informed neural network via variational inference for seismic petrophysical inversion
Peng Li, Darío Graña, Mingliang Liu
Geophysics (2024) Vol. 89, Iss. 6, pp. M185-M196
Closed Access
Sensitivity of marine controlled source electromagnetic monitoring of plume transport in offshore CO2 storage
Ning Qiu, Chunwu Pan, Bin Liu, et al.
(2024), pp. 406-411
Closed Access
Recent Advances in Machine Learning-Enhanced Joint Inversion of Seismic and Electromagnetic Data
Jinfeng Ma, Yangfan Deng, Xin-Qiao Li, et al.
Surveys in Geophysics (2024)
Closed Access
Page 1 - Next Page

Scroll to top