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 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: 7

Showing 7 citing articles:

Explicable Machine Learning for Predicting High-Efficiency Lignocellulose Pretreatment Solvents Based on Kamlet–Taft and Polarity Parameters
Hanwen Ge, Yuekun Bai, Rui Zhou, et al.
ACS Sustainable Chemistry & Engineering (2024) Vol. 12, Iss. 19, pp. 7578-7590
Closed Access | Times Cited: 9

Machine learning analysis of thermophysical and thermohydraulic properties in ethylene glycol- and glycerol-based SiO2 nanofluids
Suleiman Akilu, K.V. Sharma, Aklilu Tesfamichael Baheta, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5

Preparation of C-S-H gels by mechanochemistry and its influences on properties of super-retarded cement-based materials with sucrose
Guangpeng He, Deyu Kong, Xiaoguang Chen, et al.
Cement and Concrete Composites (2024) Vol. 153, pp. 105734-105734
Closed Access | Times Cited: 5

Potential of Gypsum-Based Matrices for Sustainable Composite Materials: A Comprehensive Review
Irina K. Domanskaya, Victoria Petropavlovskaya, Tatiana Novichenkova, et al.
JOM (2025)
Closed Access

Predicting scale deposition in oil reservoirs using machine learning optimization algorithms
Mohammad Khodabakhshi, Masoud Bijani
Results in Engineering (2024) Vol. 22, pp. 102263-102263
Open Access | Times Cited: 4

On the evaluation of mono-nanofluids’ density using a radial basis function neural network optimized by evolutionary algorithms
Omid Deymi, Farzaneh Rezaei, Saeid Atashrouz, et al.
Thermal Science and Engineering Progress (2024) Vol. 53, pp. 102750-102750
Closed Access | Times Cited: 2

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