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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:

Optimization of machine learning approaches for shale gas production forecast
Muming Wang, Gang Hui, Yu Pang, et al.
Geoenergy Science and Engineering (2023) Vol. 226, pp. 211719-211719
Closed Access | Times Cited: 19

Showing 19 citing articles:

Machine-learning-based prediction of oil recovery factor for experimental CO2-Foam chemical EOR: Implications for carbon utilization projects
Hung Vo Thanh, Danial Sheini Dashtgoli, Hemeng Zhang, et al.
Energy (2023) Vol. 278, pp. 127860-127860
Open Access | Times Cited: 41
Intricate unconventional fracture networks provide fluid diffusion pathways to reactivate pre-existing faults in unconventional reservoirs
Gang Hui, Zhangxin Chen, Ryan Schultz, et al.
Energy (2023) Vol. 282, pp. 128803-128803
Closed Access | Times Cited: 41
A novel governing equation for shale gas production prediction via physics-informed neural networks
Hai Wang, Muming Wang, Shengnan Chen, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123387-123387
Open Access | Times Cited: 11
A Combined Neural Network Forecasting Approach for CO2-Enhanced Shale Gas Recovery
Zhenqian Xue, Yuming Zhang, Haoming Ma, et al.
SPE Journal (2024) Vol. 29, Iss. 08, pp. 4459-4470
Closed Access | Times Cited: 6
EUR Prediction for Shale Gas Wells Based on the ROA-CatBoost-AM Model
Wenping He, Xizhe Li, Yujin Wan, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2156-2156
Open Access
Comprehensive characterization of hydraulic fracture propagations and prevention of pre-existing fault failure in Duvernay shale reservoirs
Penghu Bao, Gang Hui, Yafei Hu, et al.
Engineering Failure Analysis (2025), pp. 109461-109461
Closed Access
Numerical Simulation Analysis on Production Evolution Laws in Shale Reservoirs Considering a Horizontal Well Interwell Interference Effect
Yanbo Liang, Yuanfang Cheng, Zhongying Han, et al.
Energy & Fuels (2024) Vol. 38, Iss. 5, pp. 4076-4090
Closed Access | Times Cited: 4
Integrated Transfer Learning and Multitask Learning Strategies to Construct Graph Neural Network Models for Predicting Bioaccumulation Parameters of Chemicals
Zijun Xiao, Minghua Zhu, Jingwen Chen, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 35, pp. 15650-15660
Closed Access | Times Cited: 4
Carbon Dioxide Storage and Cumulative Oil Production Predictions in Unconventional Reservoirs Applying Optimized Machine-Learning Models
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, et al.
Petroleum Science (2024)
Open Access | Times Cited: 3
Experimental and Simulation Investigation on Ball-Sealer Transport and Diversion Performance Aided by Machine Learning Method
Hai Qu, Ying Liu, Chengying Li, et al.
SPE Journal (2023) Vol. 29, Iss. 02, pp. 725-741
Closed Access | Times Cited: 7
Study on multi-factor casing damage prediction method based on machine learning
Fuli Li, Wei Yan, Xianyong Kong, et al.
Energy (2024) Vol. 296, pp. 131044-131044
Closed Access | Times Cited: 2
Integrating Petrophysical, Hydrofracture, and Historical Production Data with Self-Attention-Based Deep Learning for Shale Oil Production Prediction
Jiafeng Zhang, Ye Liu, Fuqiang Zhang, et al.
SPE Journal (2024), pp. 1-22
Closed Access | Times Cited: 2
PM2.5 Concentration Prediction Based on LightGBM Optimized by Adaptive Multi-Strategy Enhanced Sparrow Search Algorithm
Xuehu Liu, Kexin Zhao, Zuhan Liu, et al.
Atmosphere (2023) Vol. 14, Iss. 11, pp. 1612-1612
Open Access | Times Cited: 6
A Study on a Novel Production Forecasting Method of Unconventional Oil and Gas Wells Based on Adaptive Fusion
Dongdong Hou, Guoqing Han, Shisan Chen, et al.
Processes (2024) Vol. 12, Iss. 11, pp. 2515-2515
Open Access | Times Cited: 1
Determination of Sequential Well Placements Using a Multi-Modal Convolutional Neural Network Integrated with Evolutionary Optimization
Seoyoon Kwon, Minsoo Ji, Min Kim, et al.
Mathematics (2024) Vol. 13, Iss. 1, pp. 36-36
Open Access
Tight Gas Production Prediction in the Southern Montney Play Using Machine Learning Approaches
Gang Hui, Fuyu Yao, Zhiyang Pi, et al.
Day 2 Wed, March 23, 2022 (2024)
Closed Access
Prediction of Formation Damage Caused by Suspend Solids from Injected Water and a Guideline for TSS Control
Huifeng Liu, Ning Xu, Zebo Yuan, et al.
(2024)
Closed Access
Construction of Interpretable Ensemble Learning Models for Predicting Bioaccumulation Parameters of Organic Chemicals in Fish
Minghua Zhu, Zijun Xiao, Tao Zhang, et al.
Journal of Hazardous Materials (2024) Vol. 482, pp. 136606-136606
Closed Access
Shale Gas Fracturing Construction Parameter Optimization Based on SSA-XGBoost
J. P. Dai, He Zhang
Academic Journal of Science and Technology (2024) Vol. 13, Iss. 3, pp. 232-240
Closed Access
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