
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:
Investigation and Optimization of EOR Screening by Implementing Machine Learning Algorithms
Shengshuai Su, Na Zhang, Peng Wang, et al.
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12267-12267
Open Access | Times Cited: 7
Shengshuai Su, Na Zhang, Peng Wang, et al.
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12267-12267
Open Access | Times Cited: 7
Showing 7 citing articles:
Application of power-law committee machine to combine five machine learning algorithms for enhanced oil recovery screening
Reza Yousefzadeh, Alireza Kazemi, Rashid S. Al‐Maamari
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Reza Yousefzadeh, Alireza Kazemi, Rashid S. Al‐Maamari
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Artificial intelligence in geoenergy: bridging petroleum engineering and future-oriented applications
Sungil Kim, Tea-Woo Kim, Suryeom Jo
Journal of Petroleum Exploration and Production Technology (2025) Vol. 15, Iss. 2
Open Access
Sungil Kim, Tea-Woo Kim, Suryeom Jo
Journal of Petroleum Exploration and Production Technology (2025) Vol. 15, Iss. 2
Open Access
Smart Technologies in Enhanced Oil Recovery: Integrating AI, Nanotechnology, and Sustainable Practices
Nouratan Singh, Poonam Rani, Neeraj Tandan
IntechOpen eBooks (2025)
Closed Access
Nouratan Singh, Poonam Rani, Neeraj Tandan
IntechOpen eBooks (2025)
Closed Access
Estimating Oil Recovery Efficiency of Carbonated Water Injection with Supervised Machine Learning Paradigms and Implications for Uncertainty Analysis
Joshua Nsiah Turkson, Muhammad Aslam Md Yusof, Ingebret Fjelde, et al.
(2024)
Closed Access | Times Cited: 2
Joshua Nsiah Turkson, Muhammad Aslam Md Yusof, Ingebret Fjelde, et al.
(2024)
Closed Access | Times Cited: 2
Advanced EOR screening methodology based on LightGBM and random forest: A classification problem with imbalanced data
Masoud Seyyedattar, Majid Afshar, Sohrab Zendehboudi, et al.
The Canadian Journal of Chemical Engineering (2024)
Closed Access | Times Cited: 2
Masoud Seyyedattar, Majid Afshar, Sohrab Zendehboudi, et al.
The Canadian Journal of Chemical Engineering (2024)
Closed Access | Times Cited: 2
Progress of Gas Injection EOR Surveillance in the Bakken Unconventional Play—Technical Review and Machine Learning Study
J. Zhao, Lu Jin, Xue Yu, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4200-4200
Open Access | Times Cited: 1
J. Zhao, Lu Jin, Xue Yu, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4200-4200
Open Access | Times Cited: 1
Estimating Oil Recovery Efficiency of Carbonated Water Injection with Supervised Machine Learning Paradigms and Implications for Uncertainty Analysis
Joshua Nsiah Turkson, Muhammad Aslam Md Yusof, Ingebret Fjelde, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105303-105303
Closed Access | Times Cited: 1
Joshua Nsiah Turkson, Muhammad Aslam Md Yusof, Ingebret Fjelde, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105303-105303
Closed Access | Times Cited: 1