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:
Innovative composite machine learning approach for biodiesel production in public vehicles
Yun Yang, Lizhen Gao, Mohamed Abbas, et al.
Advances in Engineering Software (2023) Vol. 184, pp. 103501-103501
Closed Access | Times Cited: 13
Yun Yang, Lizhen Gao, Mohamed Abbas, et al.
Advances in Engineering Software (2023) Vol. 184, pp. 103501-103501
Closed Access | Times Cited: 13
Showing 13 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
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
Leveraging Artificial Intelligence for Enhanced Sustainable Energy Management
Swapandeep Kaur, Raman Kumar, Kanwardeep Singh, et al.
Journal of Sustainability for Energy (2024) Vol. 3, Iss. 1, pp. 1-20
Open Access | Times Cited: 10
Swapandeep Kaur, Raman Kumar, Kanwardeep Singh, et al.
Journal of Sustainability for Energy (2024) Vol. 3, Iss. 1, pp. 1-20
Open Access | Times Cited: 10
The Role of Lightweight AI Models in Supporting a Sustainable Transition to Renewable Energy: A Systematic Review
Tymoteusz Miller, Irmina Durlik, Ewelina Kostecka, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1192-1192
Open Access | Times Cited: 1
Tymoteusz Miller, Irmina Durlik, Ewelina Kostecka, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1192-1192
Open Access | Times Cited: 1
Harnessing a Better Future: Exploring AI and ML Applications in Renewable Energy
Tien Han Nguyen, Prabhu Paramasivam, Van Huong Dong, et al.
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 1, pp. 55-55
Open Access | Times Cited: 6
Tien Han Nguyen, Prabhu Paramasivam, Van Huong Dong, et al.
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 1, pp. 55-55
Open Access | Times Cited: 6
RSM modelling and yield prediction of base-catalyzed transesterification of pumpkin-seed oil to biodiesel: artificial neural network, kinetics, and thermodynamics
Chika Vincent Isichei, Prosper Eguono Ovuoraye, Chinenye Adaobi Igwegbe, et al.
Biofuels (2025), pp. 1-19
Closed Access
Chika Vincent Isichei, Prosper Eguono Ovuoraye, Chinenye Adaobi Igwegbe, et al.
Biofuels (2025), pp. 1-19
Closed Access
Genomic selection in pig breeding: comparative analysis of machine learning algorithms
Ruijun Su, Jingbo Lv, Yahui Xue, et al.
Genetics Selection Evolution (2025) Vol. 57, Iss. 1
Open Access
Ruijun Su, Jingbo Lv, Yahui Xue, et al.
Genetics Selection Evolution (2025) Vol. 57, Iss. 1
Open Access
Prediction for magnetic properties of sintered NdFeB magnets based on machine learning
Qinglang Zhou, Xiangyu Ma, Peng Lin, et al.
Journal of Alloys and Compounds (2025), pp. 179810-179810
Closed Access
Qinglang Zhou, Xiangyu Ma, Peng Lin, et al.
Journal of Alloys and Compounds (2025), pp. 179810-179810
Closed Access
Soft computing-based modelling and optimization of NOx emission from a variable compression ratio diesel engine
Prabhu Paramasivama, Khatir Naima, Marek Dzida
Journal of Emerging Science and Engineering (2024) Vol. 2, Iss. 2, pp. e21-e21
Open Access | Times Cited: 4
Prabhu Paramasivama, Khatir Naima, Marek Dzida
Journal of Emerging Science and Engineering (2024) Vol. 2, Iss. 2, pp. e21-e21
Open Access | Times Cited: 4
Artificial Intelligence and Nature-Inspired Techniques on Optimal Biodiesel Production: A Review—Recent Trends
Christos Kyriklidis, Aikaterini Koutouvou, Κωνσταντίνος Μουστάκας, et al.
Energies (2025) Vol. 18, Iss. 4, pp. 768-768
Open Access
Christos Kyriklidis, Aikaterini Koutouvou, Κωνσταντίνος Μουστάκας, et al.
Energies (2025) Vol. 18, Iss. 4, pp. 768-768
Open Access
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: 3
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: 3
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
Amaranadha Reddy Manchuri, Akhila Kakera, A. A. Saleh, et al.
Borneo Journal of Sciences and Technology (2024)
Open Access | Times Cited: 2
Advancing the Industrial Circular Economy: The Integrative Role of Machine Learning in Resource Optimization
Kuo-Yi Lin, Shuhang Wei
Journal of Green Economy and Low-Carbon Development (2023) Vol. 2, Iss. 3, pp. 122-136
Open Access | Times Cited: 4
Kuo-Yi Lin, Shuhang Wei
Journal of Green Economy and Low-Carbon Development (2023) Vol. 2, Iss. 3, pp. 122-136
Open Access | Times Cited: 4
Twofold Machine-Learning and Molecular Dynamics: A Computational Framework
Christos Stavrogiannis, Filippos Sofos, Maria Sagri, et al.
Computers (2023) Vol. 13, Iss. 1, pp. 2-2
Open Access | Times Cited: 2
Christos Stavrogiannis, Filippos Sofos, Maria Sagri, et al.
Computers (2023) Vol. 13, Iss. 1, pp. 2-2
Open Access | Times Cited: 2
