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:

Development of various machine learning and deep learning models to predict glycerol biorefining processes
Qinyang Li, Minghai Li, Mohammad Reza Safaei
International Journal of Hydrogen Energy (2023) Vol. 52, pp. 669-685
Closed Access | Times Cited: 6

Showing 6 citing articles:

Prediction of hydrogen solubility in aqueous solution using modified mixed effects random forest based on particle swarm optimization for underground hydrogen storage
Grant Charles Mwakipunda, Norga Alloyce Komba, Allou Koffi Franck Kouassi, et al.
International Journal of Hydrogen Energy (2024) Vol. 87, pp. 373-388
Closed Access | Times Cited: 9

Glycerol Carbonate Synthesis: Critical Analysis of Prospects and Challenges with Special Emphasis on Influencing Parameters for Catalytic Transesterification
Vijayalakshmi Gosu, Shivali Arora, Verraboina Subbaramaiah, et al.
ACS Sustainable Resource Management (2024) Vol. 1, Iss. 5, pp. 816-841
Open Access | Times Cited: 6

Machine learning analysis of photocatalytic glycerol reforming for hydrogen production
Burcu Oral, Rüveyda Karakoyun, Ecem Temelkaya Bilgin, et al.
International Journal of Hydrogen Energy (2025)
Closed Access

Construction of hybrid models based on cascade technique using basic machine learning models: An application as photocurrent density predictor of the photoelectrode in PEC cell
Nepal Sahu, Chandrashekhar Azad, Uday Kumar
Materials Today Communications (2024) Vol. 41, pp. 110643-110643
Closed Access | Times Cited: 1

Study and prediction of photocurrent density with external validation using machine learning models
Nepal Sahu, Chandrashekhar Azad, Uday Kumar
International Journal of Hydrogen Energy (2024) Vol. 92, pp. 1335-1355
Closed Access

Development of machine learning models for predicting thermophysical properties of VR/VGO nanofluids applicable in enhanced oil recovery
Nazim Hasan, Shadma Tasneem, Othman Hakami, et al.
Journal of Thermal Analysis and Calorimetry (2024)
Closed Access

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