Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 19 citing articles:

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
Machine learning-based estimation of crude oil-nitrogen interfacial tension
Safia Obaidur Rab, Subhash Chandra, Abhinav Kumar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
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
Machine learning of redundant energy of a solar PV Mini-grid system for cooking applications
Richard Opoku, Gidphil Mensah, Eunice Akyereko Adjei, et al.
Solar Energy (2023) Vol. 262, pp. 111790-111790
Closed Access | Times Cited: 14
Synergistic effects of silica aerogels and SDS nanofluids on CO2 sequestration and enhanced oil recovery
Teng Lu, Zhaomin Li, Liping Du
Chemical Engineering Journal (2023) Vol. 476, pp. 146589-146589
Closed Access | Times Cited: 13
Explicit and Explainable Artificial Intelligent Model for Prediction of CO2 Molecular Diffusion Coefficient in Heavy Crude Oils and Bitumen
Saad Alatefi, Okorie E. Agwu, Ahmad Alkouh
Results in Engineering (2024) Vol. 24, pp. 103328-103328
Open Access | Times Cited: 5
On the Evaluation of Coal Strength Alteration Induced by CO2 Injection Using Advanced Black-Box and White-Box Machine Learning Algorithms
Qichao Lv, Haimin Zheng, Xiaochen Li, et al.
SPE Journal (2024) Vol. 29, Iss. 03, pp. 1672-1691
Closed Access | Times Cited: 4
Experimental study and machine learning modeling of water removal efficiency from crude oil using demulsifier
H. H. Hashem, Tavan Kikhavani, M.A. Moradkhani
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Dynamic diffusion processes of miscible CO2 geological utilization with complex microscopic pore-throat structures
Xiaolong Chai, Leng Tian, Yuan Zhu, et al.
Separation and Purification Technology (2025), pp. 131578-131578
Closed Access
A novel hybrid finite-infinite diffusion model for determining CO2 diffusion coefficient in oil-saturated porous media: Applications for enhanced oil recovery and geological carbon storage
Mingyang Yang, Shijun Huang, Fenglan Zhao, et al.
Energy (2025), pp. 134621-134621
Closed Access
Experimental study and machine learning prediction of frost characteristics on inclined cold plates
Jingjing Guo, Jianying Gong, Zhen Jiang, et al.
Journal of Mechanical Science and Technology (2025)
Closed Access
Application of group method of data handling and gene expression programming to modeling molecular diffusivity of CO2 in heavy crudes
Qichao Lv, Tianhao Zhou, Haimin Zheng, et al.
Geoenergy Science and Engineering (2024) Vol. 237, pp. 212789-212789
Closed Access | Times Cited: 3
Modeling of ionic liquids viscosity via advanced white-box machine learning
Sajad Kiani, Fahimeh Hadavimoghaddam, Saeid Atashrouz, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Analysis of equivalent energy storage for integrated electricity-heat system
Miao Yang, Tao Ding, Xinyue Chang, et al.
Energy (2024) Vol. 303, pp. 131892-131892
Closed Access | Times Cited: 3
Study on the mechanism of CO2 composite system assisted steam stimulation of oil recovery efficiency in heavy oil reservoirs
Jianguang Wei, Dong Zhang, Erlong Yang, et al.
International Journal of Hydrogen Energy (2024) Vol. 73, pp. 727-735
Closed Access | Times Cited: 3
Machine learning Brent crude oil price forecasts
Bingzi Jin, Xiaojie Xu
Innovation and Emerging Technologies (2024) Vol. 11
Closed Access | Times Cited: 3
Development of experimental error-Driven model for prediction of corrosion rates of amines based on their chemical structures
Jessica Narku-Tetteh, Ebenezer Mensah, Pailin Muchan, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e22050-e22050
Open Access | Times Cited: 1
Application of Nonlinear Gaussian Process Regression Models for CO2 Emissions Prediction
Ahmed Abdelhadi, Yousif Badri, Asaad Y. Shamseldin
(2023), pp. 110-115
Closed Access
Page 1

Scroll to top