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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:

Biochar production from valorization of agricultural Wastes: Data-Driven modelling using Machine learning algorithms
Ramesh Kanthasamy, Eydhah Almatrafi, Imtiaz Ali, et al.
Fuel (2023) Vol. 351, pp. 128948-128948
Closed Access | Times Cited: 11

Showing 11 citing articles:

Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy
Van Giao Nguyen, Prabhakar Sharma, Ümit Ağbulut, et al.
Biofuels Bioproducts and Biorefining (2024) Vol. 18, Iss. 2, pp. 567-593
Closed Access | Times Cited: 22
Modelling the mechanical properties of concrete produced with polycarbonate waste ash by machine learning
S. Sathvik, Rakesh Kumar, Néstor Ulloa, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 16
Machine learning prediction of biochar physicochemical properties based on biomass characteristics and pyrolysis conditions
Yuanbo Song, Zipeng Huang, Mengyu Jin, et al.
Journal of Analytical and Applied Pyrolysis (2024) Vol. 181, pp. 106596-106596
Closed Access | Times Cited: 13
Robust biochar yield and composition prediction via uncertainty-aware ResNet-based autoencoder
Y.-Q. Zhang, Bowen Lei, Amirhossein Mahdaviarab, et al.
Biochar (2025) Vol. 7, Iss. 1
Open Access
Simulation and optimization of co-pyrolysis biochar using data enhanced interpretable machine learning and particle swarm algorithm
Chao Chen, Rui Liang, Junxia Wang, et al.
Biomass and Bioenergy (2024) Vol. 182, pp. 107111-107111
Closed Access | Times Cited: 4
Harnessing Biomass Energy: Advancements through Machine Learning and AI Applications for Sustainability and Efficiency
B. Deepanraj, Prabhakar Sharma, Bhaskor Jyoti Bora, et al.
Process Safety and Environmental Protection (2024) Vol. 191, pp. 193-205
Closed Access | Times Cited: 4
Role of modeling and artificial intelligence in process parameter optimization of biochar: A review
Debaditya Gupta, Ashmita Das, Sudip Mitra
Bioresource Technology (2023) Vol. 390, pp. 129792-129792
Closed Access | Times Cited: 10
Machine learning for persistent free radicals in biochar: dual prediction of contents and types using regression and classification models
Junaid Latif, Na Chen, Azka Saleem, et al.
Carbon Research (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 2
Data-driven modeling of bio-oil yield in agricultural biomass pyrolysis with machine learning
Iradat Hussain Mafat, Sridhar Palla, A. Seshagiri Rao, et al.
International Journal of Hydrogen Energy (2024)
Closed Access | Times Cited: 2
Valorization Strategies for Agriculture Residue: An Overview
Abhishek Joshi, Pooja Yadav, Chitra Yadav, et al.
(2024), pp. 21-43
Closed Access | Times Cited: 1
Challenges and Opportunities of Artificial Intelligence and Machine Learning in Circular Economy
Miroslav Despotović, Matthias Glatschke
(2024)
Open Access
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