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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:

Modeling interfacial tension of surfactant–hydrocarbon systems using robust tree-based machine learning algorithms
Ali Rashidi-Khaniabadi, Elham Rashidi-Khaniabadi, Behnam Amiri-Ramsheh, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11

Showing 11 citing articles:

Machine learning approaches for estimating interfacial tension between oil/gas and oil/water systems: a performance analysis
Fatemeh Yousefmarzi, Ali Haratian, Javad Mahdavi Kalatehno, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 18
Toward accurate prediction of carbon dioxide (CO2) compressibility factor using tree-based intelligent schemes (XGBoost and LightGBM) and equations of state
Behnam Amiri-Ramsheh, Aydin Larestani, Saeid Atashrouz, et al.
Results in Engineering (2025), pp. 104035-104035
Open Access | Times Cited: 2
Surfactants produced from carbohydrate derivatives: Part 2. A review on the value chain, synthesis, and the potential role of artificial intelligence within the biorefinery concept
Ronald Márquez, Maria Soledad Ortiz, Nelson Barrios, et al.
Journal of Surfactants and Detergents (2024)
Open Access | Times Cited: 5
Effect of reservoir heterogeneity on well placement prediction in CO2-EOR projects using machine learning surrogate models: Benchmarking of boosting-based algorithms
Tanin Esfandi, Saeid Sadeghnejad, Arezou Jafari
Geoenergy Science and Engineering (2023) Vol. 233, pp. 212564-212564
Closed Access | Times Cited: 12
A comprehensive review of Empirical, Theoretical, and AI-Based approaches for the prediction of surface tension of nanofluids
Mahmoud Mahmoudi Marjanian, Saeed Ghasemzade Bariki, Mohammad Amin Sobati, et al.
Journal of Molecular Liquids (2025), pp. 127508-127508
Closed Access
Analyzing Key Parameters in Underground Hydrogen Storage Using Machine Learning Surrogate Models
Tanin Esfandi, Yasin Noruzi, Mir Saeid Safavi, et al.
(2025), pp. 978-986
Closed Access
Data-Driven Interfacial Tension Modeling of Quaternary Aqueous H2 Systems Using Sequential and Parallel Ensemble Learning Techniques and the Implications on H2 Geo-Storage
Joshua Nsiah Turkson, Bennet Nii Tackie-Otoo, Victor Darkwah-Owusu, et al.
(2024)
Closed Access | Times Cited: 2
Synergy of CO Mineralization in Produced Water with Enhanced Oil Recovery: An Experimental Study
Mohammed H. Alyousef, Salem Alshammari, Ahmed Al‐Yaseri
Fuel (2024) Vol. 382, pp. 133694-133694
Closed Access | Times Cited: 1
Modeling crude oil pyrolysis process using advanced white-box and black-box machine learning techniques
Fahimeh Hadavimoghaddam, Alexei Rozhenko, Mohammad-Reza Mohammadi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Modeling CO2 loading capacity of triethanolamine aqueous solutions using advanced white-box approaches: GMDH, GEP, and GP
Fahimeh Hadavimoghaddam, Behnam Amiri-Ramsheh, Saeid Atashrouz, et al.
Deleted Journal (2024) Vol. 6, Iss. 2
Open Access
Evaluation of Machine Learning Assisted Phase Behavior Modelling of Surfactant–Oil–Water Systems
Daulet Magzymov, Meruyert Makhatova, Zhassulan Dairov, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 100-100
Open Access
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