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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.

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Showing 1-25 of 32 citing articles:

Optimizing biodiesel production from waste with computational chemistry, machine learning and policy insights: a review
Ahmed I. Osman, Mahmoud Nasr, Mohamed Farghali, et al.
Environmental Chemistry Letters (2024) Vol. 22, Iss. 3, pp. 1005-1071
Open Access | Times Cited: 45
A review of the applications of artificial intelligence in renewable energy systems: An approach-based study
Mersad Shoaei, Younes Noorollahi, Ahmad Hajinezhad, et al.
Energy Conversion and Management (2024) Vol. 306, pp. 118207-118207
Closed Access | Times Cited: 44
Machine learning solutions for renewable energy systems: Applications, challenges, limitations, and future directions
Zaid Allal, Hassan Noura, Ola Salman, et al.
Journal of Environmental Management (2024) Vol. 354, pp. 120392-120392
Closed Access | Times Cited: 30
Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook
Niyi B. Ishola, Emmanuel I. Epelle, Eriola Betiku
Energy Conversion and Management X (2024) Vol. 23, pp. 100669-100669
Open Access | Times Cited: 15
A Comprehensive Review on Deep Learning Applications in Advancing Biodiesel Feedstock Selection and Production Processes
Olugbenga Akande, Jude A. Okolie, Richard Kimera, et al.
Green Energy and Intelligent Transportation (2025), pp. 100260-100260
Open Access | Times Cited: 2
Application of machine learning techniques in environmentally benign surface grinding of Inconel 625
Kamal Kishore, Sant Ram Chauhan, Manoj Kumar Sinha
Tribology International (2023) Vol. 188, pp. 108812-108812
Closed Access | Times Cited: 40
Modeling and prediction of biodiesel production by using different artificial intelligence methods: Multi-layer perceptron (MLP), Gradient boosting (GB), and Gaussian process regression (GPR)
Abdulrahman Sumayli, Saad M. Alshahrani
Arabian Journal of Chemistry (2023) Vol. 16, Iss. 7, pp. 104801-104801
Open Access | Times Cited: 21
Comparison of various machine learning techniques for modeling the heterogeneous acid-catalyzed alcoholysis process of biodiesel production from green seed canola oil
Fahimeh Esmi, Ajay K. Dalai, Yongfeng Hu
Energy Reports (2024) Vol. 12, pp. 321-328
Closed Access | Times Cited: 7
Machine learning aided pharmaceutical engineering: Model development and validation for estimation of drug solubility in green solvent
Di Meng, Zhenyu Liu
Journal of Molecular Liquids (2023) Vol. 392, pp. 123286-123286
Closed Access | Times Cited: 15
Predictors for Green Energy vs. Fossil Fuels: The Case of Industrial Waste and Biogases in European Union Context
Cătălin Popescu, Manuela Rozalia Gabor, Adrian Stancu
Agronomy (2024) Vol. 14, Iss. 7, pp. 1459-1459
Open Access | Times Cited: 5
The prediction of biodiesel production yield from transesterification of vegetable oils with Machine learning
Pirapat Arunyanart, Lida Simasatitkul, Pachara Juyploy, et al.
Results in Engineering (2024), pp. 103236-103236
Open Access | Times Cited: 5
Machine Learning Approach for Flow Fields Over a Circular Cylinder Based on Particle Image Velocimetry Measurements
Muharrem Hilmi Aksoy, İlker Göktepeli, Murat Ispir, et al.
Measurement (2023) Vol. 223, pp. 113699-113699
Closed Access | Times Cited: 12
Robust intelligent paradigms for estimating fouling in phosphoric acid / steam heat exchanger
Rania Jradi, Christophe Marvillet, Mohamed Razak Jeday
Energy (2025) Vol. 315, pp. 134439-134439
Closed Access
Machine learning-based sales forecasting during crises: Evidence from a Turkish women's clothing retailer
Kiymet Tabak Kızgın, Selçuk Alp, Nezir Aydın, et al.
Science Progress (2025) Vol. 108, Iss. 1
Open Access
Predicting water-based drilling fluid filtrate volume in close to real time from routine fluid property measurements
Shadfar Davoodi, Mohammed Ba Geri, David A. Wood, et al.
Petroleum (2025)
Open Access
An intelligent control rod movement strategy for boron-free reactor core using multi-layer perceptron machine learning model
M. Hosseinllu, M. Abbasi, O. Safarzadeh, et al.
Annals of Nuclear Energy (2025) Vol. 218, pp. 111405-111405
Closed Access
Tree-based, boosting, and stacked models for accurate prediction of total organic carbon from conventional well logs
A. B. Siddique, Al Minhaz Mobin Alvee, Patrícia Aparecida Ana, et al.
Energy Reports (2025) Vol. 13, pp. 4491-4513
Closed Access
Quantitative characterization of reinforcement cross-sectional roughness and prediction of cover cracking based on machine learning under the influence of pitting corrosion
Ce Jiang, Xiaogang Zhang, Peiyuan Lun, et al.
Measurement (2023) Vol. 220, pp. 113322-113322
Closed Access | Times Cited: 7
A Comprehensive Review on Deep Learning Applications in Advancing Biodiesel Feedstock Selection and Production Processes
Olugbenga Akande, Jude A. Okolie, Richard Kimera, et al.
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 2
Prediction of tensile strength of basalt continuous fiber from chemical composition using machine learning models
Ling Zhang, Yang Lu, Chuan Lai, et al.
Polymer Composites (2023) Vol. 44, Iss. 10, pp. 6634-6645
Closed Access | Times Cited: 6
Analysis of enhancing drug bioavailability via nanomedicine production approach using green chemistry route: Systematic assessment of drug candidacy
Ahmed Alobaida, Bader Huwaimel
Journal of Molecular Liquids (2022) Vol. 370, pp. 120980-120980
Closed Access | Times Cited: 9
Reconstruction of flow field with missing experimental data of a circular cylinder via machine learning algorithm
Muharrem Hilmi Aksoy, İlker Göktepeli, Murat Ispir, et al.
Physics of Fluids (2023) Vol. 35, Iss. 11
Open Access | Times Cited: 4
Deep Q-Network-Enhanced Self-Tuning Control of Particle Swarm Optimization
Oussama Aoun
Modelling—International Open Access Journal of Modelling in Engineering Science (2024) Vol. 5, Iss. 4, pp. 1709-1728
Open Access | Times Cited: 1
Development of a Forecasting Framework Based on Advanced Machine Learning Algorithms for Greenhouse Gas Emissions
Seval Ene Yalçın
Systems (2024) Vol. 12, Iss. 12, pp. 528-528
Open Access | Times Cited: 1
Business Models for Digitalization Enabled Energy Efficiency and Flexibility in Industry: A Survey with Nine Case Studies
Zhipeng Ma, Bo Nørregaard Jôrgensen, Michelle Levesque, et al.
Lecture notes in computer science (2023), pp. 253-270
Closed Access | Times Cited: 2
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