
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:
Machine Learning Applications in Biofuels’ Life Cycle: Soil, Feedstock, Production, Consumption, and Emissions
Iftikhar Ahmad, Adil Sana, Manabu Kano, et al.
Energies (2021) Vol. 14, Iss. 16, pp. 5072-5072
Open Access | Times Cited: 24
Iftikhar Ahmad, Adil Sana, Manabu Kano, et al.
Energies (2021) Vol. 14, Iss. 16, pp. 5072-5072
Open Access | Times Cited: 24
Showing 24 citing articles:
Artificial neural networks for the prediction of biochar yield: A comparative study of metaheuristic algorithms
Muzammil Khan, Zahid Ullah, Ondřej Mašek, et al.
Bioresource Technology (2022) Vol. 355, pp. 127215-127215
Open Access | Times Cited: 84
Muzammil Khan, Zahid Ullah, Ondřej Mašek, et al.
Bioresource Technology (2022) Vol. 355, pp. 127215-127215
Open Access | Times Cited: 84
Biofuels for a sustainable future: Examining the role of nano-additives, economics, policy, internet of things, artificial intelligence and machine learning technology in biodiesel production
Sagar Shelare, Pramod Belkhode, Keval Chandrakant Nikam, et al.
Energy (2023) Vol. 282, pp. 128874-128874
Closed Access | Times Cited: 73
Sagar Shelare, Pramod Belkhode, Keval Chandrakant Nikam, et al.
Energy (2023) Vol. 282, pp. 128874-128874
Closed Access | Times Cited: 73
Production of renewable biodiesel using metal organic frameworks based materials as efficient heterogeneous catalysts
Siri Fung Basumatary, Khemnath Patir, Bipul Das, et al.
Journal of Cleaner Production (2022) Vol. 358, pp. 131955-131955
Closed Access | Times Cited: 67
Siri Fung Basumatary, Khemnath Patir, Bipul Das, et al.
Journal of Cleaner Production (2022) Vol. 358, pp. 131955-131955
Closed Access | Times Cited: 67
A Short Review on Catalyst, Feedstock, Modernised Process, Current State and Challenges on Biodiesel Production
G. Abdulkareem-Alsultan, N. Asikin-Mijan, Zueriani Ibrahim, et al.
Catalysts (2021) Vol. 11, Iss. 11, pp. 1261-1261
Open Access | Times Cited: 56
G. Abdulkareem-Alsultan, N. Asikin-Mijan, Zueriani Ibrahim, et al.
Catalysts (2021) Vol. 11, Iss. 11, pp. 1261-1261
Open Access | Times Cited: 56
Operationalizing Digitainability: Encouraging Mindfulness to Harness the Power of Digitalization for Sustainable Development
Shivam Gupta, Jazmin Campos Zeballos, Gema del Río Castro, et al.
Sustainability (2023) Vol. 15, Iss. 8, pp. 6844-6844
Open Access | Times Cited: 29
Shivam Gupta, Jazmin Campos Zeballos, Gema del Río Castro, et al.
Sustainability (2023) Vol. 15, Iss. 8, pp. 6844-6844
Open Access | Times Cited: 29
Lignocellulosic Biomass Pretreatment Methods and Application of Extracted Fractions
Muhammad Sheraz, Lixia Cao, Shengyong Zhao, et al.
Arabian Journal for Science and Engineering (2025)
Closed Access | Times Cited: 1
Muhammad Sheraz, Lixia Cao, Shengyong Zhao, et al.
Arabian Journal for Science and Engineering (2025)
Closed Access | Times Cited: 1
Biomass to Energy — an Analysis of Current Technologies, Prospects, and Challenges
Nilanjana Banerjee
BioEnergy Research (2022) Vol. 16, Iss. 2, pp. 683-716
Closed Access | Times Cited: 33
Nilanjana Banerjee
BioEnergy Research (2022) Vol. 16, Iss. 2, pp. 683-716
Closed Access | Times Cited: 33
Assessing the potential of machine learning methods to study the removal of pharmaceuticals from wastewater using biochar or activated carbon
Jude A. Okolie, Shauna Savage, Chukwuma C. Ogbaga, et al.
Total Environment Research Themes (2022) Vol. 1-2, pp. 100001-100001
Open Access | Times Cited: 32
Jude A. Okolie, Shauna Savage, Chukwuma C. Ogbaga, et al.
Total Environment Research Themes (2022) Vol. 1-2, pp. 100001-100001
Open Access | Times Cited: 32
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
Role of nanomaterials in enhanced ethanol production through biological methods – Review on operating factors and machine learning applications
Subrajit Bosu, R. P. Pooja, M. Rajasimman
Fuel (2022) Vol. 320, pp. 123905-123905
Closed Access | Times Cited: 22
Subrajit Bosu, R. P. Pooja, M. Rajasimman
Fuel (2022) Vol. 320, pp. 123905-123905
Closed Access | Times Cited: 22
Status and future trends in wastewater management strategies using artificial intelligence and machine learning techniques
G. Baskar, Soghra Nashath Omer, Panchamoorthy Saravanan, et al.
Chemosphere (2024) Vol. 362, pp. 142477-142477
Closed Access | Times Cited: 5
G. Baskar, Soghra Nashath Omer, Panchamoorthy Saravanan, et al.
Chemosphere (2024) Vol. 362, pp. 142477-142477
Closed Access | Times Cited: 5
Seagull optimization based deep belief network model for biofuel production
Neetish Kumar, S. Vijayabaskar, L. Murali
Environmental Progress & Sustainable Energy (2025)
Open Access
Neetish Kumar, S. Vijayabaskar, L. Murali
Environmental Progress & Sustainable Energy (2025)
Open Access
Validation Challenges in Data for Different Diesel Engine Performance Regimes Utilising HVO Fuel: A Study on the Application of Artificial Neural Networks for Emissions Prediction
Jonas Matijošius, Alfredas Rimkus, Alytis Gruodis
Machines (2024) Vol. 12, Iss. 4, pp. 279-279
Open Access | Times Cited: 3
Jonas Matijošius, Alfredas Rimkus, Alytis Gruodis
Machines (2024) Vol. 12, Iss. 4, pp. 279-279
Open Access | Times Cited: 3
Unlocking renewable energy potential: Harnessing machine learning and intelligent algorithms
Thanh Tuan Le, Prabhu Paramasivam, Elvis Adril, et al.
International Journal of Renewable Energy Development (2024) Vol. 13, Iss. 4, pp. 783-813
Open Access | Times Cited: 3
Thanh Tuan Le, Prabhu Paramasivam, Elvis Adril, et al.
International Journal of Renewable Energy Development (2024) Vol. 13, Iss. 4, pp. 783-813
Open Access | Times Cited: 3
Review of modeling schemes and machine learning algorithms for fluid rheological behavior analysis
Irfan Bahiuddin, Saiful Amri Mazlan, Fitrian Imaduddin, et al.
Journal of the Mechanical Behavior of Materials (2024) Vol. 33, Iss. 1
Open Access | Times Cited: 1
Irfan Bahiuddin, Saiful Amri Mazlan, Fitrian Imaduddin, et al.
Journal of the Mechanical Behavior of Materials (2024) Vol. 33, Iss. 1
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
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
Brihaspati Singh, Anmesh Kumar Srivastava, Om Prakash
Advances in computational intelligence and robotics book series (2024), pp. 219-238
Closed Access
Bacterial Biofuel Production: An Assessment of Machine Learning Technologies in Valorisation of Waste/Wastewater and Circular Economy
Priyadarshini Dey, Gangaraju Divyashri, Biswajit Paul, et al.
(2024), pp. 255-275
Closed Access
Priyadarshini Dey, Gangaraju Divyashri, Biswajit Paul, et al.
(2024), pp. 255-275
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
R. Geetha Balakrishna, M. Sakar, Tamer Sharara
Royal Society of Chemistry eBooks (2024), pp. 1-13
Closed Access
How Machine Learning is Impacting Energy Production from Biomass: A Systematic Review and Multiple Case Study
Peter Onu, Emmanuel Ajisegiri, Peter P. Ikubanni, et al.
(2024), pp. 1-7
Closed Access
Peter Onu, Emmanuel Ajisegiri, Peter P. Ikubanni, et al.
(2024), pp. 1-7
Closed Access
Artificial intelligence and machine intelligence: modeling and optimization of bioenergy production
Leena Saju, Devi Selvaraj, Vairaperumal Tharmaraj
Elsevier eBooks (2024), pp. 163-176
Closed Access
Leena Saju, Devi Selvaraj, Vairaperumal Tharmaraj
Elsevier eBooks (2024), pp. 163-176
Closed Access
The role of artificial intelligence in greening biogas operations
Tawanda Kunatsa
Elsevier eBooks (2024), pp. 361-397
Closed Access
Tawanda Kunatsa
Elsevier eBooks (2024), pp. 361-397
Closed Access
Bioresource Technology for Bioenergy: Development and Trends
Lyes Bennamoun
Energies (2022) Vol. 15, Iss. 5, pp. 1717-1717
Open Access | Times Cited: 2
Lyes Bennamoun
Energies (2022) Vol. 15, Iss. 5, pp. 1717-1717
Open Access | Times Cited: 2
Challenges and perspectives for agribusiness logistics chain in the Industry 4.0 era
DJONATHAN LUIZ DE OLIVEIRA, Bruna Rigon, Elias Ribeiro da Silva, et al.
Procedia CIRP (2023) Vol. 120, pp. 1422-1427
Open Access
DJONATHAN LUIZ DE OLIVEIRA, Bruna Rigon, Elias Ribeiro da Silva, et al.
Procedia CIRP (2023) Vol. 120, pp. 1422-1427
Open Access