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:
Improved prediction of biomass gasification models through machine learning
Aban Sakheta, Thomas Raj, Richi Nayak, et al.
Computers & Chemical Engineering (2024) Vol. 191, pp. 108834-108834
Open Access | Times Cited: 6
Aban Sakheta, Thomas Raj, Richi Nayak, et al.
Computers & Chemical Engineering (2024) Vol. 191, pp. 108834-108834
Open Access | Times Cited: 6
Showing 6 citing articles:
Review of machine learning techniques for energy sharing and biomass waste gasification pathways in integrating solar greenhouses into smart energy systems
Navid Mahdavi, Animesh Dutta, Syeda Humaira Tasnim, et al.
Energy and AI (2025), pp. 100498-100498
Open Access
Navid Mahdavi, Animesh Dutta, Syeda Humaira Tasnim, et al.
Energy and AI (2025), pp. 100498-100498
Open Access
Hydrogen production from catalytic steam-gasification of biomass using char and char-supported iron catalysts
Yan Cao, Yu Bai, Jiang Du
Journal of the Energy Institute (2025), pp. 102031-102031
Closed Access
Yan Cao, Yu Bai, Jiang Du
Journal of the Energy Institute (2025), pp. 102031-102031
Closed Access
Studying the regeneration cycles of nickel-containing catalysts during high temperature gasification and prediction model fitting
V. Zsinka, Bálint Levente Tarcsay, Norbert Miskolczi
Biomass and Bioenergy (2025) Vol. 197, pp. 107745-107745
Open Access
V. Zsinka, Bálint Levente Tarcsay, Norbert Miskolczi
Biomass and Bioenergy (2025) Vol. 197, pp. 107745-107745
Open Access
Development and assessment of hybrid machine learning model of biomass pyrolysis process
Aban Sakheta, Thomas Raj, Richi Nayak, et al.
Chemical Engineering Science (2025), pp. 121552-121552
Open Access
Aban Sakheta, Thomas Raj, Richi Nayak, et al.
Chemical Engineering Science (2025), pp. 121552-121552
Open Access
Machine learning assisted prediction of specific surface area and nitrogen content of biochar based on biomass type and pyrolysis conditions
Zhantao Song, Xiong Zhang, Xiaoqiang Li, et al.
Journal of Analytical and Applied Pyrolysis (2024), pp. 106823-106823
Closed Access | Times Cited: 2
Zhantao Song, Xiong Zhang, Xiaoqiang Li, et al.
Journal of Analytical and Applied Pyrolysis (2024), pp. 106823-106823
Closed Access | Times Cited: 2
The Robust Supervised Learning Framework: Harmonious Integration of Twin Extreme Learning Machine, Squared Fractional Loss, Capped L2,p-norm Metric, and Fisher Regularization
Zhenxia Xue, Yan Wang, Yuwen Ren, et al.
Symmetry (2024) Vol. 16, Iss. 9, pp. 1230-1230
Open Access
Zhenxia Xue, Yan Wang, Yuwen Ren, et al.
Symmetry (2024) Vol. 16, Iss. 9, pp. 1230-1230
Open Access
