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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:

Prediction of carbon sequestration of biochar produced from biomass pyrolysis by artificial neural network
Jing Xuan Tee, Anurita Selvarajoo, Senthil Kumar Arumugasamy
Journal of environmental chemical engineering (2022) Vol. 10, Iss. 3, pp. 107640-107640
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning
Wentao Zhang, Ronghua Chen, Jie Li, et al.
Biochar (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 48
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
Biochar as an Environment-Friendly Alternative for Multiple Applications
Radheshyam Yadav, Wusirika Ramakrishna
Sustainability (2023) Vol. 15, Iss. 18, pp. 13421-13421
Open Access | Times Cited: 27
Thiamethoxam adsorption by ZnCl2 modified cow manure biochar: Mechanism and quantitative prediction
Qiao Zhou, Wenjie Mai, Zhenguo Chen, et al.
Environmental Research (2023) Vol. 237, pp. 117004-117004
Closed Access | Times Cited: 23
Biochar‐based catalysts derived from biomass waste: production, characterization, and application for liquid biofuel synthesis
Van Nhanh Nguyen, Prabhakar Sharma, Lech Rowiński, et al.
Biofuels Bioproducts and Biorefining (2024) Vol. 18, Iss. 2, pp. 594-616
Closed Access | Times Cited: 14
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: 12
Biomass-derived carbon-based catalysts for lignocellulosic biomass and waste valorisation: a circular approach
M. Belluati, Silvia Tabasso, Emanuela Calcio Gaudino, et al.
Green Chemistry (2024) Vol. 26, Iss. 15, pp. 8642-8668
Open Access | Times Cited: 8
Enhancement of oxygen adsorption using biomass-based oxidized porous carbon
Hossein Mashhadimoslem, Ahad Ghaemi, Ali Maleki, et al.
Journal of environmental chemical engineering (2023) Vol. 11, Iss. 2, pp. 109300-109300
Closed Access | Times Cited: 16
Estimation of the main air pollutants from different biomasses under combustion atmospheres by artificial neural networks
Thalyssa Oliveira Monteiro, Pedro Augusto Araújo da Silva de Almeida Nava Alves, Alex Oliveira Barradas Filho, et al.
Chemosphere (2024) Vol. 352, pp. 141484-141484
Closed Access | Times Cited: 7
Characterization of dissolved organic matter in biochar derived from various macroalgae (Phaeophyta, Rhodophyta, and Chlorophyta): Effects of pyrolysis temperature and extraction solution pH
Yangzhi Liu, Shanshan Zhou, Yu Fu, et al.
The Science of The Total Environment (2023) Vol. 869, pp. 161786-161786
Closed Access | Times Cited: 13
Study on waste tire pyrolysis product characteristics based on machine learning
Jingwei Qi, Kaihong Zhang, Ming Hu, et al.
Journal of environmental chemical engineering (2023) Vol. 11, Iss. 6, pp. 111314-111314
Closed Access | Times Cited: 13
Hybrid Analysis of Biochar Production from Pyrolysis of Agriculture Waste Using Statistical and Artificial Intelligent-Based Modeling Techniques
Hani Hussain Sait, Ramesh Kanthasamy, Bamidele Victor Ayodele
Agronomy (2025) Vol. 15, Iss. 1, pp. 181-181
Open Access
Optimizing biochar for carbon sequestration: a synergistic approach using machine learning and natural language processing
Jiayi Li, Yixuan Chen, Chaojie Wang, et al.
Biochar (2025) Vol. 7, Iss. 1
Open Access
Estimation of specific surface area and higher heating value of biochar and activated carbon produced by pyrolysis and physico-chemically assisted pyrolysis of biomass using an artificial neural network (ANN)
Mamadou Baldé, Rukiye Karakış, Ayten Ateş
Biomass Conversion and Biorefinery (2025)
Open Access
Bayesian optimized multilayer perceptron neural network modelling of biochar and syngas production from pyrolysis of biomass-derived wastes
Ramesh Kanthasamy, Eydhah Almatrafi, Imtiaz Ali, et al.
Fuel (2023) Vol. 350, pp. 128832-128832
Closed Access | Times Cited: 12
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
Precise prognostics of biochar yield from various biomass sources by Bayesian approach with supervised machine learning and ensemble methods
Van Giao Nguyen, Prabhakar Sharma, Ümit Ağbulut, et al.
International Journal of Green Energy (2023) Vol. 21, Iss. 9, pp. 2180-2204
Closed Access | Times Cited: 10
Development and optimization of an Artificial Neural Network (ANN) model for predicting the cadmium fixation efficiency of biochar in soil
Yifan Wang, Liang Xu, Jianen Li, et al.
Journal of environmental chemical engineering (2024), pp. 114196-114196
Closed Access | Times Cited: 3
Biochar from coffee husks: a green electrode modifier for sensitive determination of heavy metal ions
Maria Zizi Martins Mendonça, Fabiano Mendonça de Oliveira, Jacqueline Marques Petroni, et al.
Journal of Applied Electrochemistry (2023) Vol. 53, Iss. 7, pp. 1461-1471
Closed Access | Times Cited: 8
Quantitative assessment and multi-objective optimization of supercritical CO2 cycles with multiple operating parameters
Xinzhuang Gu, Hao Chen, Shixiong Song, et al.
International Journal of Thermal Sciences (2024) Vol. 201, pp. 109001-109001
Closed Access | Times Cited: 2
Interpretable machine learning for predicting heavy metal removal and optimizing biochar characteristics
Chaojie Wang, Yuxin Zhao, Yurong Gao, et al.
Journal of Water Process Engineering (2024) Vol. 68, pp. 106484-106484
Closed Access | Times Cited: 2
Artificial Neural Network-Based Models for the Prediction of Biomass Pyrolysis Products from Preliminary Analysis
Hemant Kumar Balsora, S. Kartik, Jyeshtharaj B. Joshi, et al.
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 36, pp. 14311-14319
Closed Access | Times Cited: 6
Mathematical analysis of the effect of process conditions on the porous structure development of activated carbons derived from Pine cones
Mirosław Kwiatkowski, Edward Gómez-Delgado, Gisel Vanesa Nunell, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 6
Development and Optimization of an Artificial Neural Network (Ann) Model for Predicting the Cadmium Fixation Efficiency of Biochar in Soil
Yifan Wang, Liang Xu, Jianen Li, et al.
(2024)
Closed Access
Prediction and Optimization Design of Porous Structure Properties of Biomass-Derived Biochar Using Machine Learning Methods
Zejian Ai, Song Luo, Zhengyong Xu, et al.
Energy (2024) Vol. 313, pp. 133707-133707
Closed Access
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