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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 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 1-25 of 38 citing articles:

Combining Machine Learning with Physical Knowledge in Thermodynamic Modeling of Fluid Mixtures
Fabian Jirasek, Hans Hasse
Annual Review of Chemical and Biomolecular Engineering (2023) Vol. 14, Iss. 1, pp. 31-51
Open Access | Times Cited: 31
Modeling CO2 solubility in water using gradient boosting and light gradient boosting machine
Atena Mahmoudzadeh, Behnam Amiri-Ramsheh, Saeid Atashrouz, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Experimental investigation and intelligent modeling of pore structure changes in type III kerogen-rich shale artificially matured by hydrous and anhydrous pyrolysis
Bo Liu, Mohammad-Reza Mohammadi, Zhongliang Ma, et al.
Energy (2023) Vol. 282, pp. 128799-128799
Closed Access | Times Cited: 22
Modelling CO2 diffusion coefficient in heavy crude oils and bitumen using extreme gradient boosting and Gaussian process regression
Qichao Lv, Ali Rashidi-Khaniabadi, Rong Zheng, et al.
Energy (2023) Vol. 275, pp. 127396-127396
Closed Access | Times Cited: 19
Exploring the performance of machine learning models to predict carbon monoxide solubility in underground pure/saline water
Behzad Vaferi, Mohsen Dehbashi, Ali Hosin Alibak, et al.
Marine and Petroleum Geology (2024) Vol. 162, pp. 106742-106742
Closed Access | Times Cited: 7
Modeling thermal conductivity of hydrogen-based binary gaseous mixtures using generalized regression neural network
Arefeh Naghizadeh, Behnam Amiri-Ramsheh, Saeid Atashrouz, et al.
International Journal of Hydrogen Energy (2024) Vol. 59, pp. 242-250
Closed Access | Times Cited: 7
Carbon sequestration through mineral carbonation: Using commercial FGD-gypsum from a copper smelter for sustainable waste management and environmental impact mitigation
Patricia Córdoba, Samanta Rojas
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 2, pp. 112510-112510
Open Access | Times Cited: 7
Modeling thermo-physical properties of hydrogen utilizing machine learning schemes: Viscosity, density, diffusivity, and thermal conductivity
Qichao Lv, Zhaomin Li, Xiaochen Li, et al.
International Journal of Hydrogen Energy (2024) Vol. 72, pp. 1127-1142
Closed Access | Times Cited: 7
Toward Estimating CO2 Solubility in Pure Water and Brine Using Cascade Forward Neural Network and Generalized Regression Neural Network: Application to CO2 Dissolution Trapping in Saline Aquifers
Xinyuan Zou, Yingting Zhu, Jing Lv, et al.
ACS Omega (2024)
Open Access | Times Cited: 6
Modeling the solubility of light hydrocarbon gases and their mixture in brine with machine learning and equations of state
Mohammad-Reza Mohammadi, Fahimeh Hadavimoghaddam, Saeid Atashrouz, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 22
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
Predictive modeling of plastic pyrolysis process for the evaluation of activation energy: Explainable artificial intelligence based comprehensive insights
Sanjeevani Hooda, Prasenjit Mondal
Journal of Environmental Management (2024) Vol. 360, pp. 121189-121189
Closed Access | Times Cited: 4
Estimation the pH of CO2-saturated NaCl solutions using gene expression programming: Implications for CO2 sequestration
Mohammad Rasool Dehghani, Parmida Seraj Ebrahimi, Moein Kafi, et al.
Results in Engineering (2025) Vol. 25, pp. 104047-104047
Closed Access
Exploring advanced artificial intelligence techniques for efficient hydrogen storage in metal organic frameworks
Arefeh Naghizadeh, Fahimeh Hadavimoghaddam, Saeid Atashrouz, et al.
Adsorption (2025) Vol. 31, Iss. 2
Closed Access
Improved explainable multi-gene genetic programming correlations for predicting carbon dioxide solubility in various brines
Mohamed Riad Youcefi, Fahd Mohamad Alqahtani, Menad Nait Amar, et al.
Desalination (2025), pp. 118917-118917
Closed Access
Hydrogen solubility in ionic liquids: Application of a structure-based deep learning approach and equations of state
Reza Nakhaei-Kohani, Saeid Atashrouz, Maryam Pourmahdi, et al.
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 80, pp. 31234-31253
Closed Access | Times Cited: 9
A Perspective on Electrochemical Point Source Utilization of CO2 and Other Flue Gas Components to Value Added Chemicals
Soumi Mondal, Sebastian C. Peter
Advanced Materials (2024)
Closed Access | Times Cited: 3
Estimating the solubility of HFC/HFO in ionic liquids from molecular structure using machine learning method
Jianchun Chu, Ziwen Zhang, Xiangyang Liu, et al.
Process Safety and Environmental Protection (2022) Vol. 184, pp. 315-325
Closed Access | Times Cited: 14
Environmentally friendly buff cleaning of ceria nanoparticles using bubbles in gas-dissolved water
Pengzhan Liu, Yuna Nam, Sanghuck Jeon, et al.
Colloids and Surfaces A Physicochemical and Engineering Aspects (2023) Vol. 671, pp. 131558-131558
Closed Access | Times Cited: 8
Modeling gypsum (calcium sulfate dihydrate) solubility in aqueous electrolyte solutions using extreme learning machine
Mohammad Ebrahimi, Omid Deymi, Fahimeh Hadavimoghaddam, et al.
Journal of Water Process Engineering (2023) Vol. 57, pp. 104664-104664
Closed Access | Times Cited: 8
Modeling of asphaltic sludge formation during acidizing process of oil well reservoir using machine learning methods
Sina Shakouri, Maysam Mohammadzadeh-Shirazi
Energy (2023) Vol. 285, pp. 129433-129433
Closed Access | Times Cited: 7
Application of group method of data handling and gene expression programming for predicting solubility of CO2-N2 gas mixture in brine
Qichao Lv, Tianhao Zhou, Rong Zheng, et al.
Fuel (2022) Vol. 332, pp. 126025-126025
Closed Access | Times Cited: 11
Pore-scale phenomena in carbon geological storage (Saline aquifers—Mineralization—Depleted oil reservoirs)
Qi Liu, Marcelo D. Benitez, Xia Zhao, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 10
Numerical Modeling and Economic Analysis of Ultrasonic-Assisted CO2 Absorption Process for Offshore Application
Athirah Mohd Tamidi, Kok Keong Lau, Li Huey Ng, et al.
Processes (2023) Vol. 11, Iss. 11, pp. 3089-3089
Open Access | Times Cited: 5
Solid-liquid equilibrium solubility prediction of sulfanilamide in four binary solvent mixtures by using pure solvents solubility data from 278.15 to 318.15 K with the Abraham solvation parameter model, Yalkowsky Log-Linear and extended log-linear solubility thermodynamic models
Kalyani Kodide, Prashanth Asadi, Jyothi Thati
Journal of Molecular Liquids (2022) Vol. 368, pp. 120634-120634
Closed Access | Times Cited: 8
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