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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:

Applicability of deep neural networks on production forecasting in Bakken shale reservoirs
Shuhua Wang, Zan Chen, Shengnan Chen
Journal of Petroleum Science and Engineering (2019) Vol. 179, pp. 112-125
Closed Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

Modeling of multi-scale transport phenomena in shale gas production — A critical review
Hui Wang, Ming-Jia Li, Zhiguo Qu, et al.
Applied Energy (2020) Vol. 262, pp. 114575-114575
Closed Access | Times Cited: 230
A framework for predicting the production performance of unconventional resources using deep learning
Sen Wang, Chao-xu Qin, Qihong Feng, et al.
Applied Energy (2021) Vol. 295, pp. 117016-117016
Closed Access | Times Cited: 128
Well performance prediction based on Long Short-Term Memory (LSTM) neural network
Ruijie Huang, Chenji Wei, Baohua Wang, et al.
Journal of Petroleum Science and Engineering (2021) Vol. 208, pp. 109686-109686
Closed Access | Times Cited: 123
A systematic review of data science and machine learning applications to the oil and gas industry
Zeeshan Tariq, Murtada Saleh Aljawad, Amjed Hasan, et al.
Journal of Petroleum Exploration and Production Technology (2021) Vol. 11, Iss. 12, pp. 4339-4374
Open Access | Times Cited: 120
A CNN-BiGRU-AM neural network for AI applications in shale oil production prediction
Guangzhao Zhou, Zanquan Guo, Simin Sun, et al.
Applied Energy (2023) Vol. 344, pp. 121249-121249
Closed Access | Times Cited: 45
Forecasting oil production using ensemble empirical model decomposition based Long Short-Term Memory neural network
Wei Liu, Wei David Liu, Jianwei Gu
Journal of Petroleum Science and Engineering (2020) Vol. 189, pp. 107013-107013
Closed Access | Times Cited: 137
A deep-learning-based prediction method of the estimated ultimate recovery (EUR) of shale gas wells
Yuyang Liu, Xinhua Ma, Xiaowei Zhang, et al.
Petroleum Science (2021) Vol. 18, Iss. 5, pp. 1450-1464
Open Access | Times Cited: 58
Shale oil production prediction and fracturing optimization based on machine learning
Chunhua Lu, Hanqiao Jiang, Yang Jinlong, et al.
Journal of Petroleum Science and Engineering (2022) Vol. 217, pp. 110900-110900
Closed Access | Times Cited: 45
Gas channels and chimneys prediction using artificial neural networks and multi-seismic attributes, offshore West Nile Delta, Egypt
Amir Ismail, Hatem Farouk Ewida, Sahar Nazeri, et al.
Journal of Petroleum Science and Engineering (2021) Vol. 208, pp. 109349-109349
Closed Access | Times Cited: 53
Dynamic risk modeling of complex hydrocarbon production systems
Abbas Mamudu, Faisal Khan, Sohrab Zendehboudi, et al.
Process Safety and Environmental Protection (2021) Vol. 151, pp. 71-84
Closed Access | Times Cited: 43
Comparison of different machine learning algorithms for predicting the SAGD production performance
Ziteng Huang, Zhangxin Chen
Journal of Petroleum Science and Engineering (2021) Vol. 202, pp. 108559-108559
Open Access | Times Cited: 40
Estimated ultimate recovery prediction of fractured horizontal wells in tight oil reservoirs based on deep neural networks
Shangui Luo, Chao Ding, Hongfei Cheng, et al.
ADVANCES IN GEO-ENERGY RESEARCH (2022) Vol. 6, Iss. 2, pp. 111-122
Open Access | Times Cited: 30
Hydrocarbon production dynamics forecasting using machine learning: A state-of-the-art review
Bin Liang, Jiang Liu, Junyu You, et al.
Fuel (2022) Vol. 337, pp. 127067-127067
Closed Access | Times Cited: 28
Prediction of Shale Gas Production by Hydraulic Fracturing in Changning Area Using Machine Learning Algorithms
Dongshuang Li, Shaohua You, Qinzhuo Liao, et al.
Transport in Porous Media (2023) Vol. 149, Iss. 1, pp. 373-388
Open Access | Times Cited: 19
A hybrid machine learning approach based study of production forecasting and factors influencing the multiphase flow through surface chokes
Waquar Kaleem, Saurabh Tewari, Mrigya Fogat, et al.
Petroleum (2023) Vol. 10, Iss. 2, pp. 354-371
Open Access | Times Cited: 19
A Comprehensive review of data-driven approaches for forecasting production from unconventional reservoirs: best practices and future directions
Hamid Rahmanifard, Ian D. Gates
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 6
Application of Gated Recurrent Unit (GRU) Neural Network for Smart Batch Production Prediction
Xuechen Li, Xinfang Ma, Fengchao Xiao, et al.
Energies (2020) Vol. 13, Iss. 22, pp. 6121-6121
Open Access | Times Cited: 42
Machine learning-assisted production data analysis in liquid-rich Duvernay Formation
Bing Kong, Zhuoheng Chen, Shengnan Chen, et al.
Journal of Petroleum Science and Engineering (2021) Vol. 200, pp. 108377-108377
Closed Access | Times Cited: 32
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: 27
A Review of AI Applications in Unconventional Oil and Gas Exploration and Development
Feiyu Chen, Linghui Sun, Siyu Jian, et al.
Energies (2025) Vol. 18, Iss. 2, pp. 391-391
Open Access
Application of Hybrid Numerical Reservoir Simulation and Artificial Neural Network for Evaluating Reservoir Performance under Waterflooding
Paul Theophily Nsulangi, John Mbogo Kafuku, Guan Zhen Liang
Petroleum Research (2025)
Open Access
Review of Machine Learning Methods for Steady State Capacity and Transient Production Forecasting in Oil and Gas Reservoir
Dongyan Fan, S.Y. Lai, Hai Sun, et al.
Energies (2025) Vol. 18, Iss. 4, pp. 842-842
Open Access
Optimizing oil production forecasts in Iranian oil fields: a comprehensive analysis using ensemble learning techniques
Mohammad Ghodsi, Pouya Vaziri, Mahdi Kanaani, et al.
Journal of Petroleum Exploration and Production Technology (2025) Vol. 15, Iss. 4
Open Access
A Hybrid Tabular-Spatial-Temporal Model with 3D Geomodel for Production Prediction in Shale Gas Formations
Muming Wang, Hai Wang, Gang Hui, et al.
SPE Journal (2025), pp. 1-13
Closed Access
Fully connected deep network: An improved method to predict TOC of shale reservoirs from well logs
Dongyu Zheng, Sixuan Wu, Mingcai Hou
Marine and Petroleum Geology (2021) Vol. 132, pp. 105205-105205
Closed Access | Times Cited: 31
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