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:

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

Showing 10 citing articles:

Improved lung nodule segmentation with a squeeze excitation dilated attention based residual UNet
Dhafer Alhajim, Karim Ansari-Asl, Gholamreza Akbarizadeh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Machine Learning Based Prediction Model of Recovery Rate for Water-Driven Gas Reservoirs
Xing Lin, Y. Frank Cheng
Mechanisms and machine science (2025), pp. 816-829
Closed 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

Porosity prediction of tight reservoir rock using well logging data and machine learning
Yawen He, Hongjun Zhang, Zhiyu Wu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Machine Learning Prediction of Permeability Distribution in the X Field Malay Basin Using Elastic Properties
Zaky Ahmad Riyadi, John Oluwadamilola Olutoki, Maman Hermana, et al.
Results in Engineering (2024), pp. 103421-103421
Open Access | Times Cited: 3

Enhanced Oil Recovery in Low-Permeability Reservoirs Utilizing Dispersions of Monodisperse Crumpled SiO2 Nanoparticle
Xiaomeng Wang, Fengfan Zhang, Jian Zhang, et al.
ACS Applied Nano Materials (2024) Vol. 7, Iss. 16, pp. 19014-19023
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

Application of deep learning through group method of data handling for interfacial tension prediction in brine/CO2 systems: MgCl2 and CaCl2 aqueous solutions
G. Reza Vakili-Nezhaad, Reza Yousefzadeh, Alireza Kazemi, et al.
International journal of greenhouse gas control (2024) Vol. 135, pp. 104147-104147
Closed Access | Times Cited: 1

Robust Asphaltene Onset Pressure Prediction using Ensemble Learning
Jafar Khalighi, Аlexey Cheremisin
Results in Engineering (2024), pp. 103483-103483
Open Access

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