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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:

Application of machine learning technologies in biodiesel production process—A review
Omojola Awogbemi, Daramy Vandi Von Kallon
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 24

Showing 24 citing articles:

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: 14
Waste-To-Biofuel Production for the Transportation Sector
Nikolaos C. Kokkinos, Elissavet Emmanouilidou, Purushottam Sharma
Energy, environment, and sustainability (2024), pp. 99-122
Closed Access | Times Cited: 12
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: 1
Advancements in the application of metal oxide nanocatalysts for sustainable biodiesel production
Omojola Awogbemi, A. A. Ojo, Samson Adedayo Adeleye
Deleted Journal (2024) Vol. 6, Iss. 5
Open Access | Times Cited: 10
Contributions of artificial intelligence and digitization in achieving clean and affordable energy
Omojola Awogbemi, Daramy Vandi Von Kallon, K. Sunil Kumar
Intelligent Systems with Applications (2024) Vol. 22, pp. 200389-200389
Open Access | Times Cited: 8
Artificial Neural Network and Response Surface Methodology for Predicting and Maximizing Biodiesel Production from Waste Oil with KI/CaO/Al2O3 Catalyst in a Fixed Bed Reactor
Vorrada Loryuenyong, Sitifatimah Rohing, Papatsara Singhanam, et al.
ChemPlusChem (2024)
Closed Access | Times Cited: 7
Application of computational technologies for transesterification of waste cooking oil into biodiesel
Omojola Awogbemi, Dawood Desai
Biomass and Bioenergy (2025) Vol. 194, pp. 107620-107620
Open Access
MACHINE LEARNING-BASED PREDICTIVE MODELLING OF BIODIESEL PRODUCTION FROM ANIMAL FATS CATALYSED BY A BLAST FURNACE SLAG GEOPOLYMER
Pascal Mwenge, Hilary Rutto
Results in Engineering (2025), pp. 104126-104126
Open Access
Significant Research on Sustainable Oxygenated Fuel for Compression Ignition Engines with Controlled Emissions and Optimum Performance Prediction Using Artificial Neural Network
Syed Javed
Sustainability (2025) Vol. 17, Iss. 2, pp. 788-788
Open Access
Machine Learning-Based Assessment of the Influence of Nanoparticles on Biodiesel Engine Performance and Emissions: A critical review
Chetan Pawar, B Shreeprakash, Beekanahalli Mokshanatha, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 4
Towards the development of underutilized renewable energy resources in achieving carbon neutrality
Omojola Awogbemi, Daramy Vandi Von Kallon
Fuel Communications (2023) Vol. 17, pp. 100099-100099
Open Access | Times Cited: 12
pplication of Supervised Machine Learning Models in Biodiesel Production Research - A Short Review
Amaranadha Reddy Manchuri, Akhila Kakera, A. A. Saleh, et al.
Borneo Journal of Sciences and Technology (2024)
Open Access | Times Cited: 2
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
Applied AMT Machine Learning and Multi-Objective Optimization for Enhanced Performance and Reduced Environmental Impact of Sunflower Oil Biodiesel in Compression Ignition Engine
Ali A. Al‐jabiri, Hyder H. Balla, Mudhaffar S. Al‐Zuhairy, et al.
International Journal of Thermofluids (2024) Vol. 24, pp. 100838-100838
Open Access | Times Cited: 2
Comparison of Engine Performance and Emission Values of Biodiesel Obtained from Waste Pumpkin Seeds with Machine Learning
Seda Şahin, Ayşe Torun
Agriculture (2024) Vol. 14, Iss. 2, pp. 227-227
Open Access | Times Cited: 1
Investigation on optimization of biodiesel production using machine learning techniques
Sivakumar Ramachandran, S S Gokulsankar, T A Aravazhi, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1
Review on Machine Learning as a Key Technology Enabler for Sustainable Biodiesel Production
Brihaspati Singh, Anmesh Kumar Srivastava, Om Prakash
Advances in computational intelligence and robotics book series (2024), pp. 219-238
Closed Access
Revisiting the Field of Biodiesel: An Overview
R. Geetha Balakrishna, M. Sakar, Tamer Sharara
Royal Society of Chemistry eBooks (2024), pp. 1-13
Closed Access
Explainable machine learning assisted design of tailor-made fuels using conjoint fingerprints
Yong Chen, Zhiyuan Lu, Zhifeng Yao, et al.
Energy Conversion and Management (2024) Vol. 322, pp. 119118-119118
Closed Access
Access to finance: The role of production level technology
Nirosha Hewa Wellalage, Damien Wallace, Krishna Reddy
Finance research letters (2024) Vol. 71, pp. 106460-106460
Open Access
Artificial intelligence and machine learning models application in biodiesel optimization process and fuel properties prediction
Muhammad Arif, Adel I. Alalawy, Yuanzhang Zheng, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 73, pp. 104097-104097
Closed Access
Transesterification of Castor Oil and Ethanol using Green Catalyst for biodiesel production through Box-Behnken Design
Amit Kumar Rajak, M. Harikrishna, Devi Lal Mahato, et al.
Biocatalysis and Agricultural Biotechnology (2024), pp. 103480-103480
Closed Access
Optimization of microwave-assisted extraction in the purification of triglycerides from non-edible crude Calophyllum inophyllum oil as biodiesel feedstock using artificial intelligence
Badril Azhar, Setiyo Gunawan, Maktum Muharja, et al.
South African Journal of Chemical Engineering (2023) Vol. 47, pp. 312-321
Open Access | Times Cited: 1
Comparison of Engine Performance and Emission Values of Biodiesel Obtained from Waste Pumpkin Seeds with Machine Learning
seda şahin, Ayşe Özer
(2023)
Closed Access
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