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:

A gradient-based deep neural network model for simulating multiphase flow in porous media
Bicheng Yan, D. R. Harp, Bailian Chen, et al.
Journal of Computational Physics (2022) Vol. 463, pp. 111277-111277
Open Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

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
Spatial–temporal prediction of minerals dissolution and precipitation using deep learning techniques: An implication to Geological Carbon Sequestration
Zeeshan Tariq, Ertugrul Umut Yildirim, Manojkumar Gudala, et al.
Fuel (2023) Vol. 341, pp. 127677-127677
Closed Access | Times Cited: 23
Surrogate model for geological CO2 storage and its use in hierarchical MCMC history matching
Yifu Han, François P. Hamon, Su Jiang, et al.
Advances in Water Resources (2024) Vol. 187, pp. 104678-104678
Closed Access | Times Cited: 15
Physics-informed machine learning for reservoir management of enhanced geothermal systems
Bicheng Yan, Zhen Xu, Manojkumar Gudala, et al.
Geoenergy Science and Engineering (2024) Vol. 234, pp. 212663-212663
Closed Access | Times Cited: 8
Uncertainty Analysis of CO2 Storage in Deep Saline Aquifers Using Machine Learning and Bayesian Optimization
Abdulwahab Alqahtani, Xupeng He, Bicheng Yan, et al.
Energies (2023) Vol. 16, Iss. 4, pp. 1684-1684
Open Access | Times Cited: 21
Physics-informed graph neural network for spatial-temporal production forecasting
Wendi Liu, Michael J. Pyrcz
Geoenergy Science and Engineering (2023) Vol. 223, pp. 211486-211486
Open Access | Times Cited: 20
Deep-learning-generalized data-space inversion and uncertainty quantification framework for accelerating geological CO2 plume migration monitoring
Cong Xiao, Shicheng Zhang, Xingfang Ma, et al.
Geoenergy Science and Engineering (2023) Vol. 224, pp. 211627-211627
Closed Access | Times Cited: 15
A fast method to infer Nuclear Magnetic Resonance based effective porosity in carbonate rocks using machine learning techniques
Zeeshan Tariq, Manojkumar Gudala, Bicheng Yan, et al.
Geoenergy Science and Engineering (2023) Vol. 222, pp. 211333-211333
Closed Access | Times Cited: 14
Reservoir Modeling and Optimization Based on Deep Learning with Application to Enhanced Geothermal Systems
Bicheng Yan, Zhen Xu, Manojkumar Gudala, et al.
SPE Reservoir Characterisation and Simulation Conference and Exhibition (2023)
Open Access | Times Cited: 14
Robust optimization of geothermal recovery based on a generalized thermal decline model and deep learning
Bicheng Yan, Manojkumar Gudala, Shuyu Sun
Energy Conversion and Management (2023) Vol. 286, pp. 117033-117033
Closed Access | Times Cited: 14
Artificial intelligence methods for oil and gas reservoir development: Current progresses and perspectives
Liang Xue, Daolun Li, Hongen Dou
ADVANCES IN GEO-ENERGY RESEARCH (2023) Vol. 10, Iss. 1, pp. 65-70
Open Access | Times Cited: 14
Data-Driven Machine Learning Modeling of Mineral/CO2/Brine Wettability Prediction: Implications for CO2 Geo-Storage
Zeeshan Tariq, Muhammad Ali, Bicheng Yan, et al.
(2023)
Closed Access | Times Cited: 13
Flowing Bottomhole Pressure during Gas Lift in Unconventional Oil Wells
Miao Jin, Hamid Emami‐Meybodi, Mohammad Bagher Ahmadi
SPE Journal (2024), pp. 1-13
Closed Access | Times Cited: 5
Data-driven methods for flow and transport in porous media: A review
Yang Guang, Ran Xu, Yusong Tian, et al.
International Journal of Heat and Mass Transfer (2024) Vol. 235, pp. 126149-126149
Open Access | Times Cited: 5
Deep Learning for Subsurface Flow: A Comparative Study of U‐Net, Fourier Neural Operators, and Transformers in Underground Hydrogen Storage
Shaowen Mao, Alvaro Carbonero, Mohamed Mehana
Journal of Geophysical Research Machine Learning and Computation (2025) Vol. 2, Iss. 1
Open Access
Efficient characterization of subsurface heterogeneity by inverting drawdown derivative data within a Fast Marching Method-Based deep neural network
Chen Li, Bicheng Yan, Xuan Yu, et al.
Journal of Hydrology (2025), pp. 133285-133285
Closed Access
Intelligent modeling with physics-informed machine learning for petroleum engineering problems
Chiyu Xie, Shuyi Du, Jiulong Wang, et al.
ADVANCES IN GEO-ENERGY RESEARCH (2023) Vol. 8, Iss. 2, pp. 71-75
Open Access | Times Cited: 12
Estimation of heterogeneous permeability using pressure derivative data through an inversion neural network inspired by the Fast Marching Method
Bicheng Yan, Chen Li, Zeeshan Tariq, et al.
Geoenergy Science and Engineering (2023) Vol. 228, pp. 211982-211982
Closed Access | Times Cited: 12
Simulating multiphase flow in fractured media with graph neural networks
Jiamin Jiang
Physics of Fluids (2024) Vol. 36, Iss. 2
Open Access | Times Cited: 4
A Fluid Flow‐Based Deep Learning (FFDL) Architecture for Subsurface Flow Systems With Application to Geologic CO2 Storage
Zhen Qin, Yingxiang Liu, Fangning Zheng, et al.
Water Resources Research (2025) Vol. 61, Iss. 1
Open Access
Gradient Enhanced-Expert Informed Neural Network (GE-EINN) for forming depth prediction from a small-scale metal stamping dataset
Vahid Modanloo, Sewon Jang, Taeyong Lee, et al.
Journal of Manufacturing Processes (2025) Vol. 140, pp. 224-240
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
Reservoir Surrogate Modeling Using U-Net with Vision Transformer and Time Embedding
Alireza Kazemi, Mohammad Ali Esmaeili
Processes (2025) Vol. 13, Iss. 4, pp. 958-958
Open Access
Multiscale Reservoir Simulation Through Super-Resolution Techniques
Haotian Li, Billal Aslaml, Bicheng Yan
(2025)
Closed Access
Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management
Aleksandra Pachalieva, Daniel O’Malley, D. R. Harp, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 18
Page 1 - Next Page

Scroll to top