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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:

Comprehensive data-driven methods for estimating the thermal conductivity of biodiesels and their blends with alcohols and fossil diesels
M.A. Moradkhani, Seyyed Hossein Hosseini, Mengjie Song, et al.
Renewable Energy (2023) Vol. 221, pp. 119849-119849
Closed Access | Times Cited: 12

Showing 12 citing articles:

Future energy insights: Time-series and deep learning models for city load forecasting
Neda Maleki, Oxana Lundström, Arslan Musaddiq, et al.
Applied Energy (2024) Vol. 374, pp. 124067-124067
Open Access | Times Cited: 8
Machine learning prediction of density of fatty acid methyl ester mixed with alkanes biodiesel over a wide range of operating conditions
Soud Khalil Ibrahim, Rafid Jihad Albadr, Hardik Doshi, et al.
Biomass and Bioenergy (2025) Vol. 196, pp. 107712-107712
Closed Access | Times Cited: 1
Robust and comprehensive predictive models for methane hydrate formation condition in the presence of brines using black-box and white-box intelligent techniques
Marzieh Rashnavadi Nezhad, M.A. Moradkhani, Behrouz Bayati, et al.
International Journal of Hydrogen Energy (2024) Vol. 77, pp. 612-624
Closed Access | Times Cited: 4
Predictive analytics for fresh concrete rheological characteristics using artificial intelligence approaches
M.A. Moradkhani, Seyyed Hossein Hosseini, Mohammad Mahdi Ahmadi
Materials Today Communications (2024) Vol. 41, pp. 110434-110434
Closed Access | Times Cited: 2
Accurate Prediction of Reverse Solute Flux in Forward Osmosis Systems Using Comparative Machine Learning Models
Ali Boubakri, Sarra Elgharbi, S. Bouguecha, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 1
Minimum spouting velocity of fine particles in fountain confined conical spouted beds using machine learning and least square fitting approaches
M.A. Moradkhani, Ali Reza Miroliaei, Nasim Ghasemi, et al.
The Canadian Journal of Chemical Engineering (2024)
Closed Access | Times Cited: 1
Comprehensive models to estimate the Isobaric heat capacity of deep eutectic solvents based on Machine learning algorithms
M.A. Moradkhani, Seyyed Hossein Hosseini
Journal of Molecular Liquids (2024) Vol. 416, pp. 126475-126475
Closed Access | Times Cited: 1
Machine-learning algorithms for predicting condensation heat transfer coefficients in the presence of non-condensable gases
Fangning Li, Haishan Cao
International Journal of Refrigeration (2024) Vol. 162, pp. 215-233
Closed Access
Thermal Conductivity of the Binary Mixtures of N-Heptane and Fatty Acid Esters: Measurement and Correlation
Qing Zou, Zhenhui Chen, Shujiang Ding, et al.
Energies (2024) Vol. 17, Iss. 23, pp. 5811-5811
Open Access
Performance prediction of co-rotating disk cavity with finned vortex reducer based on machine learning
Minhui Zhang, Chunhua Wang, Jingzhou Zhang
International Journal of Thermal Sciences (2024) Vol. 205, pp. 109287-109287
Closed Access
Soot formation and laminar combustion characteristics of anisole: ReaxFF MD simulation and kinetic analysis
Wenlong Dong, Run Hong, Jinfang Yao, et al.
Carbon Neutrality (2024) Vol. 3, Iss. 1
Open Access
Development of a deep neural network and empirical model for predicting local gas holdup profiles in bubble columns
Sebastián Uribe, Ahmed Alalou, Mario E. Cordero, et al.
The Canadian Journal of Chemical Engineering (2024)
Closed Access
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