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:

Evaluation of hydraulic fracturing effect on coalbed methane reservoir based on deep learning method considering physical constraints
Hongqing Song, Shuyi Du, Jiaosheng Yang, et al.
Journal of Petroleum Science and Engineering (2022) Vol. 212, pp. 110360-110360
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

A systematic data-driven approach for production forecasting of coalbed methane incorporating deep learning and ensemble learning adapted to complex production patterns
Shuyi Du, Jiulong Wang, Meizhu Wang, et al.
Energy (2022) Vol. 263, pp. 126121-126121
Closed Access | Times Cited: 59
Cryofracturing effectiveness using liquid nitrogen on granite: Fracture toughness and Brazilian tests following freezing-thawing cycle
Sotirios Nik. Longinos, Piotr Skrzypacz, Randy Hazlett
Results in Engineering (2024) Vol. 21, pp. 101895-101895
Open Access | Times Cited: 9
Data-driven production optimization using particle swarm algorithm based on the ensemble-learning proxy model
Shuyi Du, Xiangguo Zhao, Chiyu Xie, et al.
Petroleum Science (2023) Vol. 20, Iss. 5, pp. 2951-2966
Open Access | Times Cited: 22
An enhanced prediction framework for coalbed methane production incorporating deep learning and transfer learning
Shuyi Du, Meizhu Wang, Jiaosheng Yang, et al.
Energy (2023) Vol. 282, pp. 128877-128877
Closed Access | Times Cited: 21
Microstructure Evolution of Bituminous Coal Modified by High-Pressure CO2 Foam Fracturing Fluid with Different Treatment Times
Yangfeng Zheng, Cheng Zhai, Aikun Chen, et al.
Natural Resources Research (2023) Vol. 32, Iss. 3, pp. 1319-1338
Closed Access | Times Cited: 14
Evaluation of hydraulic fracturing of horizontal wells in tight reservoirs based on the deep neural network with physical constraints
QU Hong-yan, Jianlong Zhang, Fujian Zhou, et al.
Petroleum Science (2023) Vol. 20, Iss. 2, pp. 1129-1141
Open Access | Times Cited: 13
Effect of reservoir temperatures on the stabilization and flowback of CO2 foam fracturing fluid containing nano-SiO2 particles: An experimental study
Yangfeng Zheng, Cheng Zhai, Yong Sun, et al.
Geoenergy Science and Engineering (2023) Vol. 228, pp. 212048-212048
Closed Access | Times Cited: 13
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
A Novel Approach for Production Allocation in Multi-Layer Oil Reservoirs Based on Machine Learning Combining Game Theory
Tianru Song, Weiyao Zhu, Qiang Chen, et al.
Geoenergy Science and Engineering (2025), pp. 213706-213706
Closed Access
Forecasting Deep Coalbed Methane Production Using Variational Mode Decomposition and Dung Beetle Optimization with Long and Short-Term Memory
Danqun Wang, Zhiping Li, Jianping Guo, et al.
Gas Science and Engineering (2025), pp. 205549-205549
Closed Access
A data-driven PCA-RF-VIM method to identify key factors driving post-fracturing gas production of tight reservoirs
Yifan Zhao, Xiaofan Li, Lei Zuo, et al.
Energy Geoscience (2025), pp. 100411-100411
Open Access
Direct prediction of relative permeability curve from 3D digital rock images based on deep learning approaches
Chiyu Xie, Jingwei Zhu, Jiulong Wang, et al.
International Journal of Rock Mechanics and Mining Sciences (2023) Vol. 170, pp. 105544-105544
Closed Access | Times Cited: 9
Forecasting short-term methane based on corrected numerical weather prediction outputs
Shuting Zhao, Lifeng Wu, Youzhen Xiang, et al.
Journal of Cleaner Production (2024) Vol. 460, pp. 142500-142500
Closed Access | Times Cited: 3
Development of Ensemble Learning Techniques and Sequential Model-Based Optimization for Enhancing the Generalizability of Shale Wettability Predictions
Tianru Song, Zhu Weiyao, Bin Pan, et al.
Marine and Petroleum Geology (2024) Vol. 168, pp. 107010-107010
Closed Access | Times Cited: 3
Production Forecast of Deep-Coalbed-Methane Wells Based on Long Short-Term Memory and Bayesian Optimization
Danqun Wang, Zhiping Li, Yingkun Fu
SPE Journal (2024) Vol. 29, Iss. 07, pp. 3651-3672
Closed Access | Times Cited: 2
Experimental and Simulation Study of Cryogenic Stimulation of Granites from Akmola Region in Kazakhstan
Sotirios Nik. Longinos, Dastan Begaliyev, Randy Hazlett
Geomechanics for Energy and the Environment (2024), pp. 100635-100635
Closed Access | Times Cited: 2
A dynamic model of coalbed methane emission from boreholes in front of excavation working face: numerical model and its application
Yunlong Zou, Weihao Wang, Jinyang Fan, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 48, pp. 106276-106296
Closed Access | Times Cited: 6
A Powerful Prediction Framework of Fracture Parameters for Hydraulic Fracturing Incorporating eXtreme Gradient Boosting and Bayesian Optimization
Zhe Liu, Qun Lei, Dingwei Weng, et al.
Energies (2023) Vol. 16, Iss. 23, pp. 7890-7890
Open Access | Times Cited: 6
Model for Fracturing Fluids Entering Soft–Hard Coal Interbedded Strata and Its Application
Xiaoming Ni, Yan Jin, Yafei Zhang, et al.
International Journal of Geomechanics (2024) Vol. 24, Iss. 10
Closed Access | Times Cited: 1
A novel prediction method for coalbed methane production capacity combined extreme gradient boosting with bayesian optimization
Shuyi Du, Meizhu Wang, Jiaosheng Yang, et al.
Computational Geosciences (2023) Vol. 28, Iss. 5, pp. 781-790
Closed Access | Times Cited: 3
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
The Influence of Fracturing Fluid Volume on the Productivity of Coalbed Methane Wells in the Southern Qinshui Basin
Wenwen Chen, Xiaoming Wang, Mingkai Tu, et al.
Energies (2022) Vol. 15, Iss. 20, pp. 7673-7673
Open Access | Times Cited: 3
Practical Analysis of Deep Coalbed Methane Stimulation
Xiaolong Li, Aiguo Hu, Bingwei Xu, et al.
Springer series in geomechanics and geoengineering (2024), pp. 87-98
Closed Access
Prediction and evaluation of key parameters in coalbed methane pre-extraction based on transformer and inversion model
Yan Li, Hu Wen, Zhenping Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109661-109661
Closed Access
Numerical modeling on high-temperature and high-pressure gas condensate recovery considering the viscosity variation and dynamic relative permeability
Lihua Shao, Yichen Wei, Yuhe Wang
Computational Geosciences (2023) Vol. 28, Iss. 5, pp. 847-858
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top