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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:

An ANN model to predict oil recovery from a 5-spot waterflood of a heterogeneous reservoir
Shams Kalam, Usama Yousuf, Sidqi A. Abu-Khamsin, et al.
Journal of Petroleum Science and Engineering (2021) Vol. 210, pp. 110012-110012
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Time series forecasting of oil production in Enhanced Oil Recovery system based on a novel CNN-GRU neural network
Guangxu Chen, Hailong Tian, Ting Xiao, et al.
Geoenergy Science and Engineering (2023) Vol. 233, pp. 212528-212528
Closed Access | Times Cited: 23
A new pressure management framework for CO2 sequestration in deep saline aquifers based on genetic algorithm
Zehao Xie, Cheng Cao, Liehui Zhang, et al.
Geoenergy Science and Engineering (2024) Vol. 234, pp. 212668-212668
Closed Access | Times Cited: 8
Predicting minimum miscible pressure in pure CO2 flooding using machine learning: Method comparison and sensitivity analysis
Harith F. Al-Khafaji, Qingbang Meng, Wakeel Hussain, et al.
Fuel (2023) Vol. 354, pp. 129263-129263
Closed Access | Times Cited: 21
Neural Networks for the Detection of COVID-19 and Other Diseases: Prospects and Challenges
Muhammad Waqar Azeem, Shumaila Javaid, Ruhul Amin Khalil, et al.
Bioengineering (2023) Vol. 10, Iss. 7, pp. 850-850
Open Access | Times Cited: 19
Data-driven modeling to predict adsorption of hydrogen on shale kerogen: Implication for underground hydrogen storage
Shams Kalam, Muhammad Arif, Arshad Raza, et al.
International Journal of Coal Geology (2023) Vol. 280, pp. 104386-104386
Closed Access | Times Cited: 17
Performance Prediction and Heating Parameter Optimization of Organic-Rich Shale In Situ Conversion Based on Numerical Simulation and Artificial Intelligence Algorithms
Yaqian Liu, Chuanjin Yao, Baishuo Liu, et al.
ACS Omega (2024) Vol. 9, Iss. 13, pp. 15511-15526
Open Access | Times Cited: 6
A Review of Predictive Analytics Models in the Oil and Gas Industries
Putri Azmira R Azmi, Marina Yusoff, Mohamad Taufik Mohd Sallehud-din
Sensors (2024) Vol. 24, Iss. 12, pp. 4013-4013
Open Access | Times Cited: 6
RNN-based CO2 minimum miscibility pressure (MMP) estimation for EOR and CCUS applications
Erfan Mohammadian, Mohamad Mohamadi‐Baghmolaei, Reza Azin, et al.
Fuel (2023) Vol. 360, pp. 130598-130598
Closed Access | Times Cited: 13
Utilizing Artificial Intelligence Techniques for Modeling Minimum Miscibility Pressure in Carbon Capture and Utilization Processes: A Comprehensive Review and Applications
Menad Nait Amar, Hakim Djema, Khaled Ourabah, et al.
Energy & Fuels (2024) Vol. 38, Iss. 16, pp. 14891-14924
Closed Access | Times Cited: 5
Predicting absolute adsorption of CO2 on Jurassic shale using machine learning
Changhui Zeng, Shams Kalam, Haiyang Zhang, et al.
Fuel (2024) Vol. 381, pp. 133050-133050
Open Access | Times Cited: 5
Evaluation of sustainable energy use in sugarcane production: A holistic model from planting to harvest and life cycle assessment
Masud Behnia, Mohammad Ghahderijani, Ali Kaab, et al.
Environmental and Sustainability Indicators (2025), pp. 100617-100617
Open Access
Developing Robust Machine Learning Techniques to Predict Oil Recovery: A Comprehensive Field and Experimental Study
Wahib Yahya, Baolin Yang, Ayman Mutahar AlRassas, et al.
Geoenergy Science and Engineering (2025), pp. 213853-213853
Closed Access
Surfactants Adsorption onto Algerian Rock Reservoir for Enhanced Oil Recovery Applications: Prediction and Optimization Using Design of Experiments, Artificial Neural Networks, and Genetic Algorithm (GA)
Kahina Imene Benramdane, Moundher Hadji, Mohamed Khodja, et al.
Colloids and Interfaces (2025) Vol. 9, Iss. 2, pp. 19-19
Open Access
Methods for determining the oil recovery factor in an oil field
R R Khusnutdinova, Danil Yalovega, Lilia Yusupova, et al.
E3S Web of Conferences (2025) Vol. 623, pp. 02018-02018
Open Access
Deep learning CNN-APSO-LSSVM hybrid fusion model for feature optimization and gas-bearing prediction
Jiuqiang Yang, Niantian Lin, Kai Zhang, et al.
Petroleum Science (2024) Vol. 21, Iss. 4, pp. 2329-2344
Open Access | Times Cited: 2
Application of machine learning to predict of energy use efficiency and damage assessment of almond and walnut production
Mehrdad Salimi Beni, Mohammad Gholami Parashkoohi, Babak Beheshti, et al.
Environmental and Sustainability Indicators (2023) Vol. 20, pp. 100298-100298
Open Access | Times Cited: 5
Evolution Law of Dominant Flow Channel and Enhanced Oil Recovery Measures for Water Flooding in Reservoirs with Partially Sealed Faults
Wenjing Zhao, Jing Wang, Huiqing Liu
ACS Omega (2023) Vol. 8, Iss. 25, pp. 22912-22921
Open Access | Times Cited: 4
Performance evaluation of ferro-fluids flooding in enhanced oil recovery operations based on machine learning
Hossein Saberi, Milad Karimian, Ehsan Esmaeilnezhad
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107908-107908
Closed Access | Times Cited: 1
Smart Computational Algorithms for the Prediction of Interfacial Tension between Water and Hydrogen – Insights into Underground Hydrogen Storage
Shams Kalam, Mohammad Rasheed Khan, Muhammad Arif
Day 3 Wed, February 23, 2022 (2024)
Closed Access | Times Cited: 1
A novel attention-based long short term memory and fully connected neutral network approach for production energy consumption prediction under complex working conditions
Yanfang Yang, JuJian Gao, Jinhua Xiao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108418-108418
Closed Access | Times Cited: 1
An integration of the numerical and soft computing approaches for determining inflow control device flow area in water injection wells
Farshad Mostakhdeminhosseini, Yousef Rafiei
Journal of Petroleum Exploration and Production Technology (2024) Vol. 14, Iss. 7, pp. 1979-1994
Open Access | Times Cited: 1
Predictive Analytics Performance on Oil and Gas: A Significant Review
Putri Azmira R Azmi, Marina Yusoff, Mohamad Taufik Mohd Salledud-din
(2024)
Open Access | Times Cited: 1
Separate-layer injection scheme optimization based on integrated injection information with artificial neural network and residual network
Lizhi Yan, Hongbing Zhang, Zhang Dailu, et al.
Journal of energy resources technology. (2024) Vol. 1, Iss. 1
Closed Access | Times Cited: 1
Effects of water flooding speed on oil recovery efficiency and residual oil distribution in heterogeneous reservoirs
Ziran Jiang, Hao Ren, Duolikun Maimaitiming, et al.
Petroleum Science and Technology (2022) Vol. 41, Iss. 24, pp. 2362-2375
Closed Access | Times Cited: 6
Integration of Domain Knowledge and Data-Driven Modeling Evaluation Process for Predicting Minimum Miscible Pressure of CO2–Oil Systems in CCUS
Xing Zhang, Hang Xu, Kunjuan Wang, et al.
Energy & Fuels (2023) Vol. 37, Iss. 23, pp. 18652-18665
Closed Access | Times Cited: 3
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