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:

Predicting the performance of an industrial furnace using Gaussian process and linear regression: A comparison
Andrea Galeazzi, Francesco de Fusco, Kristiano Prifti, et al.
Computers & Chemical Engineering (2023) Vol. 181, pp. 108513-108513
Open Access | Times Cited: 12

Showing 12 citing articles:

Machine learning approach with a posteriori-based feature to predict service life of a thermal cracking furnace with coking deposition
Chanin Panjapornpon, Chutithep Rochpuang, Santi Bardeeniz, et al.
Results in Engineering (2024) Vol. 22, pp. 102349-102349
Open Access | Times Cited: 5

Performance improvement of compression ignition engine fueled by second generation biodiesel fuel blends enriched with ZnO nanoparticles: Experimental study and Gaussian process regression AI modeling
Mohammed El-Adawy, Mohamed E. Zayed, Bashar Shboul, et al.
Process Safety and Environmental Protection (2024) Vol. 190, pp. 1372-1385
Closed Access | Times Cited: 5

Reshaping Industrial Maintenance with Machine Learning: Fouling Control Using Optimized Gaussian Process Regression
Francesco Negri, Andrea Galeazzi, Francesco Gallo, et al.
Industrial & Engineering Chemistry Research (2025)
Open Access

MPPT controller improvement for a PEM fuel cell system based on Gaussian Process Regression with a digital twin
Jokin Uralde, Óscar Barambones, Jesús Sánchez, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110101-110101
Closed Access

A Data‐Driven Model to Predict Mutual Inductance Between Planar Coils With Arbitrary Specifications and Positions
Mahdi Asadi, Amir Musa Abazari
IET Electric Power Applications (2025) Vol. 19, Iss. 1
Open Access

Machine learning based prediction of Young's modulus of stainless steel coated with high entropy alloys
N. Radhika, M. Sabarinathan, S. Ragunath, et al.
Results in Materials (2024) Vol. 23, pp. 100607-100607
Open Access | Times Cited: 3

Application of a Predictive Maintenance Strategy Based on Machine Learning in a Used Oil Refinery
Francesco Negri, Andrea Galeazzi, Francesco Gallo, et al.
Computer-aided chemical engineering/Computer aided chemical engineering (2024), pp. 3175-3180
Closed Access | Times Cited: 2

Targeting Carbon-neutral Waste Reduction: Novel Process Design, Modelling and Optimization for Converting Medical Waste into Hydrogen
Jianzhao Zhou, Chaoshuo Liu, Jingzheng Ren, et al.
Energy (2024), pp. 133272-133272
Closed Access | Times Cited: 2

Ab initio investigation of potential energy curves of He2, He2+, and extrapolation by the machine learning method
Shaofeng Xu, Aijiang Lu, Xiaoxia Zhong, et al.
International Journal of Quantum Chemistry (2024) Vol. 124, Iss. 7
Closed Access

Condition Identification of Calcining Kiln Based on Fusion Machine Learning and Semantic Web
Hua Guo, Shengxiang Deng
International Journal on Semantic Web and Information Systems (2024) Vol. 21, Iss. 1, pp. 1-36
Open Access

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