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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.

Requested Article:

Applications of artificial intelligence‐based modeling for bioenergy systems: A review
Mochen Liao, Yuan Yao
GCB Bioenergy (2021) Vol. 13, Iss. 5, pp. 774-802
Open Access | Times Cited: 110

Showing 1-25 of 110 citing articles:

Pyrolysis of lignocellulosic, algal, plastic, and other biomass wastes for biofuel production and circular bioeconomy: A review of thermogravimetric analysis (TGA) approach
Jamin Escalante, Wei‐Hsin Chen, Meisam Tabatabaei, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 169, pp. 112914-112914
Open Access | Times Cited: 244
Machine-learning-aided thermochemical treatment of biomass: a review
Hailong Li, Jiefeng Chen, Weijin Zhang, et al.
Biofuel Research Journal (2023) Vol. 10, Iss. 1, pp. 1786-1809
Open Access | Times Cited: 96
Artificial Intelligence in Biological Sciences
Abhaya Bhardwaj, Shristi Kishore, Dhananjay K. Pandey
Life (2022) Vol. 12, Iss. 9, pp. 1430-1430
Open Access | Times Cited: 82
A comprehensive review of thermogravimetric analysis in lignocellulosic and algal biomass gasification
Charles B. Felix, Wei‐Hsin Chen, Aristotle T. Ubando, et al.
Chemical Engineering Journal (2022) Vol. 445, pp. 136730-136730
Closed Access | Times Cited: 76
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: 76
Sustainable AI-based production agriculture: Exploring AI applications and implications in agricultural practices
A.A. Mana, A. Allouhi, Abderrachid Hamrani, et al.
Smart Agricultural Technology (2024) Vol. 7, pp. 100416-100416
Open Access | Times Cited: 61
Green and sustainable biomass supply chain for environmental, social and economic benefits
Moonmoon Hiloidhari, Marjia Afroz Sharno, Dipal Baruah, et al.
Biomass and Bioenergy (2023) Vol. 175, pp. 106893-106893
Closed Access | Times Cited: 60
Advances in machine learning technology for sustainable biofuel production systems in lignocellulosic biorefineries
Vishal Sharma, Mei‐Ling Tsai, Chiu‐Wen Chen, et al.
The Science of The Total Environment (2023) Vol. 886, pp. 163972-163972
Closed Access | Times Cited: 50
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: 34
Frontier in dark fermentative biohydrogen production from lignocellulosic biomass: Challenges and future prospects
Pushpa Rani, Deepak Kumar Yadav, Arti Yadav, et al.
Fuel (2024) Vol. 366, pp. 131187-131187
Closed Access | Times Cited: 25
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: 19
Comprehensive study of the artificial intelligence applied in renewable energy
Aseel Bennagi, Obaida AlHousrya, Daniel Tudor Cotfas, et al.
Energy Strategy Reviews (2024) Vol. 54, pp. 101446-101446
Open Access | Times Cited: 19
Machine learning applications for biochar studies: A mini-review
Wei Wang, Jo‐Shu Chang, Duu‐Jong Lee
Bioresource Technology (2024) Vol. 394, pp. 130291-130291
Closed Access | Times Cited: 17
Synergistic blending of biomass, sewage sludge, and coal for enhanced bioenergy production: Exploring residue combinations and optimizing thermal conversion parameters
Paul Chinonso Ogugua, Huihui Su, Enlu Wang
Journal of Environmental Management (2024) Vol. 352, pp. 120035-120035
Closed Access | Times Cited: 17
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
A comprehensive review on biomass energy system optimization approaches: Challenges and issues
Masoud Ahmadipour, Hussein Mohammed Ridha, Zaipatimah Ali, et al.
International Journal of Hydrogen Energy (2025) Vol. 106, pp. 1167-1183
Closed Access | Times Cited: 2
Production of biofuels from biomass: Predicting the energy employing artificial intelligence modelling
Manish Kumar Meena, Shubham Shubham, Kunwar Paritosh, et al.
Bioresource Technology (2021) Vol. 340, pp. 125642-125642
Closed Access | Times Cited: 71
A Review on Machine Learning Application in Biodiesel Production Studies
Yuanzhi Xing, Zile Zheng, Yike Sun, et al.
International Journal of Chemical Engineering (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 60
Machine learning technology in biohydrogen production from agriculture waste: Recent advances and future perspectives
Amit Kumar Sharma, Praveen Kumar Ghodke, Nishu Goyal, et al.
Bioresource Technology (2022) Vol. 364, pp. 128076-128076
Closed Access | Times Cited: 55
Modified biomass adsorbents for removal of organic pollutants: a review of batch and optimization studies
Kayode Adesina Adegoke, Solomon Oluwaseun Akinnawo, Tosin Adewumi Adebusuyi, et al.
International Journal of Environmental Science and Technology (2023) Vol. 20, Iss. 10, pp. 11615-11644
Open Access | Times Cited: 41
Artificial intelligence for control and optimization of boilers’ performance and emissions: A review
Medhat A. Nemitallah, Mohammad Nabhan, Maad Alowaifeer, et al.
Journal of Cleaner Production (2023) Vol. 417, pp. 138109-138109
Closed Access | Times Cited: 40
State-of-the-art and future directions of machine learning for biomass characterization and for sustainable biorefinery
Aditya Velidandi, Pradeep Kumar Gandam, Madhavi Latha Chinta, et al.
Journal of Energy Chemistry (2023) Vol. 81, pp. 42-63
Closed Access | Times Cited: 39
Machine learning for sustainable development and applications of biomass and biomass-derived carbonaceous materials in water and agricultural systems: A review
Szu-Han Wang, Yuan Yao
Resources Conservation and Recycling (2023) Vol. 190, pp. 106847-106847
Open Access | Times Cited: 38
A Review of Biomass-to-Bioenergy Supply Chain Research Using Bibliometric Analysis and Visualization
Md Abu Helal, Nathaniel Anderson, Yu Wei, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1187-1187
Open Access | Times Cited: 26
Integrated process for simulation of gasification and chemical looping hydrogen production using Artificial Neural Network and machine learning validation
Fasiha Tahir, Muhammad Yousaf Arshad, Muhammad Azam Saeed, et al.
Energy Conversion and Management (2023) Vol. 296, pp. 117702-117702
Closed Access | Times Cited: 26
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