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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:

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: 16

Showing 16 citing articles:

Remediation of mine overburden and contaminated water with activated biochar derived from low-value biowaste
Priyanka Padhi, Neelam Bora, Phibarisha Sohtun, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 159, pp. 105472-105472
Closed Access | Times Cited: 10
Machine learning (ML): An emerging tool to access the production and application of biochar in the treatment of contaminated water and wastewater
Sheetal Kumari, Jyoti Chowdhry, Manish Kumar, et al.
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101243-101243
Closed Access | Times Cited: 8
An overview of recent advancements in hyperspectral imaging in the egg and hatchery industry
Md Wadud Ahmed, Alin Khaliduzzaman, J.L. Emmert, et al.
Computers and Electronics in Agriculture (2024) Vol. 230, pp. 109847-109847
Open Access | Times Cited: 8
Efficacy of biochar as a catalyst for a Fenton-like reaction: Experimental, statistical and mathematical modeling analysis
Oscar M. Rodríguez-Narváez, Bhuman Pandita, Omesh Goyal, et al.
Journal of Water Process Engineering (2025) Vol. 70, pp. 107014-107014
Closed Access | Times Cited: 1
Systemic review for the use of biochar to mitigate soil degradation
Shuai Qi, A. Allan Degen, Wenyin Wang, et al.
GCB Bioenergy (2024) Vol. 16, Iss. 6
Closed Access | Times Cited: 5
Synergistic activation of peroxymonosulfate by 3D CoNiO2/Co core-shell structure biochar catalyst for sulfamethoxazole degradation
Zhibin Liu, Xuelin Shi, Zihao Yan, et al.
Bioresource Technology (2024) Vol. 406, pp. 130983-130983
Closed Access | Times Cited: 5
Advancements in biochar-catalyzed peroxides for water decontamination: A future perspective on addressing antibiotics and antibiotic resistance genes
Yang Wu, Jia-wen Bai, Xuan Wang, et al.
Chemical Engineering Journal (2024) Vol. 496, pp. 153698-153698
Closed Access | Times Cited: 4
Mapping techno-economic prospects of biochar production through biomass waste pyrolysis pathway
Ikram Bahiri, Mohamed M. Ibrahim, Gautam, et al.
Energy Conversion and Management (2025) Vol. 327, pp. 119526-119526
Closed Access
Design, characterization, and evaluation of biochar: recent advances, applications, and future research directions
Abimbola E. Oluwalana, Wisdom A. Munzeiwa, Silas Verkijika, et al.
Elsevier eBooks (2025), pp. 59-73
Closed Access
Machine learning prediction of biochar-specific surface area based on plant characterization information
Zihao Jiang, Qingfeng Xia, Xueying Lu, et al.
Renewable Energy (2025) Vol. 243, pp. 122633-122633
Closed Access
Machine learning technologies for digestate-derived hydrochar yields
Wei Wang, Jo‐Shu Chang, Duu‐Jong Lee
Process Safety and Environmental Protection (2025), pp. 106905-106905
Closed Access
Advancements in Biochar as a Sustainable Adsorbent for Water Pollution Mitigation
Devika Laishram, S. N. Kim, Seul‐Yi Lee, et al.
Advanced Science (2025)
Open Access
Biochar Stability Revealed by FTIR and Machine Learning
Monica A. McCall, Jonathan S. Watson, Jonathan S. W. Tan, et al.
ACS Sustainable Resource Management (2025)
Open Access
Supervised machine learning-based categorization and prediction of uranium adsorption capacity on various process parameters
Niken Siwi Pamungkas, Zico Pratama Putra, Hendra Adhi Pratama, et al.
Journal of Hazardous Materials Advances (2024) Vol. 17, pp. 100523-100523
Open Access | Times Cited: 3
Machine learning predicts properties of hydrochar derived from digestate
Wei Wang, Jo‐Shu Chang, Duu‐Jong Lee
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 167, pp. 105862-105862
Closed Access | Times Cited: 2
Machine Learning–Based Analysis of Sustainable Biochar Production Processes
Ahmet Coşgun, Burcu Oral, M. Erdem Günay, et al.
BioEnergy Research (2024) Vol. 17, Iss. 4, pp. 2311-2327
Closed Access
Recent advances and factors affecting the adsorption of nano/microplastics by magnetic biochar
Khurram Shahzad, Al Hasan, Syed Naqvi, et al.
Chemosphere (2024) Vol. 370, pp. 143936-143936
Closed Access
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