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 solubility of CO2–N2 gas mixtures in aqueous electrolyte systems using artificial intelligence techniques and equations of state
Reza Nakhaei-Kohani, Ehsan Taslimi-Renani, Fahime Hadavimoghaddam, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 38

Showing 26-50 of 38 citing articles:

Machine learning assisted modeling of interfacial tension in the system N2/Brine
G. Reza Vakili-Nezhaad, Adel Al Ajmi, Ahmed Al Shaaili, et al.
Sustainable Chemistry and Pharmacy (2023) Vol. 33, pp. 101071-101071
Closed Access | Times Cited: 4

High-pressure electrochemistry: a new frontier in decarbonization
Nishithan C. Kani, Samuel Olusegun, Rohit Chauhan, et al.
EES Catalysis (2023) Vol. 2, Iss. 2, pp. 507-521
Open Access | Times Cited: 4

Solution gas-oil ratio estimation using histogram gradient boosting regression, machine learning, and mathematical models: a comparative analysis
Hossein Yavari
Energy Sources Part A Recovery Utilization and Environmental Effects (2023) Vol. 46, Iss. 1, pp. 379-396
Closed Access | Times Cited: 4

Extensive data analysis and modelling of carbon dioxide solubility in ionic liquids using chemical structure-based ensemble learning approaches
Reza Nakhaei-Kohani, Behnam Amiri-Ramsheh, Maryam Pourmahdi, et al.
Fluid Phase Equilibria (2024) Vol. 585, pp. 114166-114166
Closed Access | Times Cited: 1

Coupling Taguchi experimental designs with deep adaptive learning enhanced AI process models for experimental cost savings in manufacturing process development
Syed Wasim Hassan Zubair, Syed Muhammad Arafat, Sarmad Ali Khan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Chemical structure and thermodynamic properties based models for estimating nitrous oxide solubility in ionic Liquids: Equations of state and Machine learning approaches
Reza Nakhaei-Kohani, Saeid Atashrouz, Fahimeh Hadavimoghaddam, et al.
Journal of Molecular Liquids (2022) Vol. 367, pp. 120445-120445
Closed Access | Times Cited: 7

Compositional modeling of gas-condensate viscosity using ensemble approach
Farzaneh Rezaei, Mohammad Akbari, Yousef Rafiei, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3

Enhancement of CO2 Absorption Process Using High-Frequency Ultrasonic Waves
Athirah Mohd Tamidi, Kok Keong Lau, Siti Munirah Mhd Yusof, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 11064-11064
Open Access | Times Cited: 2

Modeling solubility of oxygen in ionic liquids: Chemical structure-based Machine Learning Systems Compared to Equations of State
Reza Nakhaei-Kohani, Saeid Atashrouz, Fahimeh Hadavimoghaddam, et al.
Fluid Phase Equilibria (2022) Vol. 566, pp. 113630-113630
Closed Access | Times Cited: 3

Molecular simulation of gas entrapment near a nanoscale cavity: The interplay of surface wettability, cavity shape, and gas type
Ali Ghamartale, Peichun Amy Tsai, Tian Tang
Chemical Engineering Science (2024) Vol. 302, pp. 120822-120822
Open Access

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