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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.

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Showing 1-25 of 73 citing articles:

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: 92
Machine learning for hydrothermal treatment of biomass: A review
Weijin Zhang, Qingyue Chen, Jiefeng Chen, et al.
Bioresource Technology (2022) Vol. 370, pp. 128547-128547
Closed Access | Times Cited: 88
Thermochemical conversion of large-size woody biomass for carbon neutrality: Principles, applications, and issues
Ayyadurai Saravanakumar, Pradeshwaran Vijayakumar, Anh Tuan Hoang, et al.
Bioresource Technology (2022) Vol. 370, pp. 128562-128562
Closed Access | Times Cited: 79
Characteristics prediction of hydrothermal biochar using data enhanced interpretable machine learning
Chao Chen, Zhi Wang, Yadong Ge, et al.
Bioresource Technology (2023) Vol. 377, pp. 128893-128893
Closed Access | Times Cited: 41
Conversion of organic solid waste into energy and functional materials using biochar catalyst: Bibliometric analysis, research progress, and directions
Honghong Lyu, Juin Yau Lim, Qianru Zhang, et al.
Applied Catalysis B Environment and Energy (2023) Vol. 340, pp. 123223-123223
Open Access | Times Cited: 41
Feature engineering for improved machine-learning-aided studying heavy metal adsorption on biochar
Tian Shen, Haoyi Peng, Xingzhong Yuan, et al.
Journal of Hazardous Materials (2024) Vol. 466, pp. 133442-133442
Closed Access | Times Cited: 28
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
Machine learning insights in predicting heavy metals interaction with biochar
Xin Wei, Yang Liu, Lin Shen, et al.
Biochar (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 21
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: 15
Engineering biochar from biomass pyrolysis for effective adsorption of heavy metal: An innovative machine learning approach
Lijian Leng, Huihui Zheng, Tian Shen, et al.
Separation and Purification Technology (2025), pp. 131592-131592
Closed Access | Times Cited: 2
Adsorption of organic dyes onto nanozeolites: A machine learning study
Leandro Rodrigues Oviedo, Vinícius Rodrigues Oviedo, Lissandro Dorneles Dalla Nora, et al.
Separation and Purification Technology (2023) Vol. 315, pp. 123712-123712
Closed Access | Times Cited: 39
Novel post-treatment of ultrasound assisting with acid washing enhance lignin-based biochar for CO2 capture: Adsorption performance and mechanism
Wenping Cao, Hao‐Liang Xu, Xueyang Zhang, et al.
Chemical Engineering Journal (2023) Vol. 471, pp. 144523-144523
Closed Access | Times Cited: 35
Machine learning-aided prediction of nitrogen heterocycles in bio-oil from the pyrolysis of biomass
Lijian Leng, Tanghao Li, Hao Zhan, et al.
Energy (2023) Vol. 278, pp. 127967-127967
Closed Access | Times Cited: 32
Prediction of arsenic adsorption onto metal organic frameworks and adsorption mechanisms interpretation by machine learning
Ting Xiong, Jiawen Cui, Zemin Hou, et al.
Journal of Environmental Management (2023) Vol. 347, pp. 119065-119065
Closed Access | Times Cited: 31
Biochar production and its environmental applications: Recent developments and machine learning insights
Kolli Venkata Supraja, Himanshu Kachroo, Gayatri Viswanathan, et al.
Bioresource Technology (2023) Vol. 387, pp. 129634-129634
Closed Access | Times Cited: 25
Machine learning-aided hydrothermal carbonization of biomass for coal-like hydrochar production: Parameters optimization and experimental verification
Quan Liu, Guanyu Zhang, Jiajia Yu, et al.
Bioresource Technology (2023) Vol. 393, pp. 130073-130073
Closed Access | Times Cited: 25
A comparative study of machine learning algorithms for the prediction of compressive strength of rice husk ash-based concrete
Akshita Bassi, Aditya Manchanda, Rajwinder Singh, et al.
Natural Hazards (2023) Vol. 118, Iss. 1, pp. 209-238
Closed Access | Times Cited: 23
Synergistic interactions between sewage sludge, polypropylene, and high-density polyethylene during co-pyrolysis: An investigation based on iso-conversional model-free methods and master plot analysis
Crystal Chia Yin Ling, Sam Fong Yau Li
Journal of Hazardous Materials (2023) Vol. 455, pp. 131600-131600
Closed Access | Times Cited: 22
Machine learning in clarifying complex relationships: Biochar preparation procedures and capacitance characteristics
Yuxuan Sun, Peihao Sun, Jixiu Jia, et al.
Chemical Engineering Journal (2024) Vol. 485, pp. 149975-149975
Closed Access | Times Cited: 13
Machine learning models for predicting biochar properties from lignocellulosic biomass torrefaction
Guangcan Su, Peng Jiang
Bioresource Technology (2024) Vol. 399, pp. 130519-130519
Closed Access | Times Cited: 13
Bibliometric analysis of artificial intelligence in wastewater treatment: Current status, research progress, and future prospects
Xingyang Li, Jiming Su, Hui Wang, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 4, pp. 113152-113152
Closed Access | Times Cited: 13
Critical review of biochar for the removal of emerging inorganic pollutants from wastewater
Chong Liu, Nanthi Bolan, Anushka Upamali Rajapaksha, et al.
Chinese Chemical Letters (2024) Vol. 36, Iss. 2, pp. 109960-109960
Closed Access | Times Cited: 11
Optimal biochar selection for cadmium pollution remediation in Chinese agricultural soils via optimized machine learning
Zhaolin Du, Xuan Sun, Shunan Zheng, et al.
Journal of Hazardous Materials (2024) Vol. 476, pp. 135065-135065
Closed Access | Times Cited: 11
Machine learning screening of biomass precursors to prepare biomass carbon for organic wastewater purification: A review
Baoying Wang, Bo Li, Huanyan Xu
Chemosphere (2024) Vol. 362, pp. 142597-142597
Closed Access | Times Cited: 10
Discovery of an End-to-End Pattern for Contaminant-Oriented Advanced Oxidation Processes Catalyzed by Biochar with Explainable Machine Learning
Rupeng Wang, Honglin Chen, Zixiang He, et al.
Environmental Science & Technology (2024)
Closed Access | Times Cited: 10
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