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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 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 26-50 of 72 citing articles:

Rapid High-Fidelity Forecasting for Geological Carbon Storage Using Neural Operator and Transfer Learning
Yusuf Falola, Siddharth Misra, Andres Nunez
Day 1 Mon, October 31, 2022 (2023)
Closed Access | Times Cited: 10
Physics-informed machine learning for noniterative optimization in geothermal energy recovery
Bicheng Yan, Manojkumar Gudala, Hussein Hoteit, et al.
Applied Energy (2024) Vol. 365, pp. 123179-123179
Closed Access | Times Cited: 3
Application of Neural Operator Technique for Rapid Forecast of CO2 Pressure and Saturation Distribution
Yusuf Falola, Pradyumna Singh Rathore, Geetha Gopakumar Nair, et al.
(2024)
Closed Access | Times Cited: 3
Improving deep learning performance for predicting large-scale geological $${{CO}_{2}}$$ sequestration modeling through feature coarsening
Bicheng Yan, D. R. Harp, Bailian Chen, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 14
Deep Learning Model for CO2 Leakage Detection Using Pressure Measurements
Zhen Zhang, Xupeng He, Marwah AlSinan, et al.
SPE Annual Technical Conference and Exhibition (2022)
Closed Access | Times Cited: 13
Fractured Geothermal Reservoir Using CO2 as Geofluid: Numerical Analysis and Machine Learning Modeling
Manojkumar Gudala, Zeeshan Tariq, G. Suresh Kumar, et al.
ACS Omega (2024)
Open Access | Times Cited: 2
Forward prediction and surrogate modeling for subsurface hydrology: A review of theory-guided machine-learning approaches
Rui Xu, Dongxiao Zhang
Computers & Geosciences (2024) Vol. 188, pp. 105611-105611
Closed Access | Times Cited: 2
Transfer Learning-Based Physics-Informed Convolutional Neural Network for Simulating Flow in Porous Media with Time-Varying Controls
Jungang Chen, Eduardo Gildin, John Killough
Mathematics (2024) Vol. 12, Iss. 20, pp. 3281-3281
Open Access | Times Cited: 2
Modeling lost-circulation in natural fractures using semi-analytical solutions and type-curves
Rami Albattat, Marwa Alsinan, Hyung Kwak, et al.
Journal of Petroleum Science and Engineering (2022) Vol. 216, pp. 110770-110770
Open Access | Times Cited: 12
A surrogate model for the prediction of permeabilities and flow through porous media: a machine learning approach based on stochastic Brownian motion
Rainer Niekamp, Johanna Niemann, Jörg Schröder
Computational Mechanics (2022) Vol. 71, Iss. 3, pp. 563-581
Open Access | Times Cited: 12
A Robust General Physics-Informed Machine Learning Framework for Energy Recovery Optimization in Geothermal Reservoirs
Zhen Xu, Bicheng Yan, Manojkumar Gudala, et al.
(2023)
Closed Access | Times Cited: 6
Optimization of Carbon-Geo Storage into Saline Aquifers: A Coupled Hydro-Mechanics-Chemo Process
Zeeshan Tariq, Manojkumar Gudala, Bicheng Yan, et al.
(2023)
Closed Access | Times Cited: 6
A multiphase ciliary flow of Casson fluid in a porous channel under the effects of electroosmosis and MHD: Exact solutions
M. M. Alqarni, Arshad Riaz, Mehpara Shehzadi, et al.
Results in Physics (2023) Vol. 52, pp. 106947-106947
Open Access | Times Cited: 6
Transfer Learning-Based Physics-Informed Convolutional Neural Network for Simulating Flow in Porous Media with Time Varying Controls
Jungang Chen, Eduardo Gildin, John Killough
(2023)
Open Access | Times Cited: 6
Graph theory based estimation of probable CO2 plume spreading in siliciclastic reservoirs with lithological heterogeneity
Achyut Mishra, Hailun Ni, Seyed Ahmad Mortazavi, et al.
Advances in Water Resources (2024) Vol. 189, pp. 104717-104717
Open Access | Times Cited: 2
Deep-Learning-Based Flow Prediction for CO2 Storage in Shale–Sandstone Formations
Andrew Chu, Sally M. Benson, Gege Wen
Energies (2022) Vol. 16, Iss. 1, pp. 246-246
Open Access | Times Cited: 9
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
Rapid Inference of Reservoir Permeability from Inversion of Traveltime Data Under a Fast Marching Method-Based Deep Learning Framework
Chen Li, Bicheng Yan, Rui Kou, et al.
SPE Journal (2023) Vol. 28, Iss. 06, pp. 2877-2897
Closed Access | Times Cited: 4
Rapid Simulation and Optimization of Geological CO2 Sequestration Using Coarse Grid Network Model
Billal Aslam, Bicheng Yan, Zeeshan Tariq, et al.
(2023)
Closed Access | Times Cited: 4
A Dynamic Solvent Chamber Propagation Estimation Framework using RNN for Warm Solvent Injection in Heterogeneous Reservoirs
Zhiwei Ma, Qingwang Yuan, Ziming Xu, et al.
Geoenergy Science and Engineering (2024) Vol. 244, pp. 213405-213405
Closed Access | Times Cited: 1
TransUNet: Accelerating Multiphase Flow Prediction in Geological Carbon Storage Systems
Zeeshan Tariq, Zhao Feng, Hussein Hoteit, et al.
(2024)
Closed Access | Times Cited: 1
On the feasibility of an ensemble multi-fidelity neural network for fast data assimilation for subsurface flow in porous media
Yating Wang, Bicheng Yan
Expert Systems with Applications (2024), pp. 125774-125774
Closed Access | Times Cited: 1
A Computationally Efficient Hybrid Neural Network Architecture for Porous Media: Integrating Convolutional and Graph Neural Networks for Improved Property Predictions
Qingqi Zhao, Xiaoxue Han, Ruichang Guo, et al.
Advances in Water Resources (2024) Vol. 195, pp. 104881-104881
Closed Access | Times Cited: 1
On the Feasibility of An Ensemble Multi-Fidelity Neural Network for Fast Data Assimilation for Subsurface Flow in Porous Media
Yating Wang, Bicheng Yan
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 6
A novel sequential-based hybrid approach incorporating physical modeling and deep learning for multiphase subsurface flow simulation
Shuyi Du, Jingyan Zhang, Ming Yue, et al.
Gas Science and Engineering (2023) Vol. 118, pp. 205093-205093
Closed Access | Times Cited: 2

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