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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 prediction of fuel properties of hydrochar from co-hydrothermal carbonization of sewage sludge and lignocellulosic biomass
Oraléou Sangué Djandja, Shimin Kang, Zizhi Huang, et al.
Energy (2023) Vol. 271, pp. 126968-126968
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production
Alireza Shafizadeh, Hossein Shahbeik, Shahin Rafiee, et al.
Fuel (2023) Vol. 347, pp. 128467-128467
Open Access | Times Cited: 39
Structure evolution characteristic of hydrochar and nitrogen transformation mechanism during co-hydrothermal carbonization process of microalgae and biomass
Qian Shen, Xianqing Zhu, Yang Peng, et al.
Energy (2024) Vol. 295, pp. 131028-131028
Closed Access | Times Cited: 26
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: 21
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: 20
Upgrading of cow manure by hydrothermal carbonization: Evaluation of fuel properties, combustion behaviors and kinetics
Deli Zhang, Zhijing Sun, Hongyue Fu, et al.
Renewable Energy (2024) Vol. 225, pp. 120269-120269
Closed Access | Times Cited: 9
Advances in Research and Technology of Hydrothermal Carbonization: Achievements and Future Directions
Giulia Ischia, Nicole D. Berge, Sunyoung Bae, et al.
Agronomy (2024) Vol. 14, Iss. 5, pp. 955-955
Open Access | Times Cited: 9
Improvements in dewaterability and fuel properties of hydrochars derived from hydrothermal co-carbonization of sewage sludge and organic waste
Małgorzata Wilk, Maciej Śliz, Klaudia Czerwińska, et al.
Renewable Energy (2024) Vol. 227, pp. 120547-120547
Open Access | Times Cited: 8
Machine learning for sustainable organic waste treatment: a critical review
Rohit Gupta, Zahra Hajabdollahi Ouderji, Uzma Uzma, et al.
npj Materials Sustainability (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 7
Applied machine learning for predicting the properties and carbon and phosphorus fate of pristine and engineered hydrochar
Shiyu Xie, Tao Zhang, Siming You, et al.
Biochar (2025) Vol. 7, Iss. 1
Open Access
A novel hydrochar production from corn stover and sewage sludge: Synergistic co-hydrothermal carbonization understandings through deep machine learning and modelling
Tiankai Zhang, Qiliang Wang
Renewable Energy (2025), pp. 122628-122628
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
Comprehensive insights into the application strategy of kitchen waste derived hydrochar: Random forest-based modelling
Xiuju Zhang, Huan Liu, Guangyan Yang, et al.
Chemical Engineering Journal (2023) Vol. 469, pp. 143840-143840
Closed Access | Times Cited: 14
Machine learning prediction of delignification and lignin structure regulation of deep eutectic solvents pretreatment processes
Hanwen Ge, Yaoze Liu, Baoping Zhu, et al.
Industrial Crops and Products (2023) Vol. 203, pp. 117138-117138
Closed Access | Times Cited: 13
Hydrothermal Carbonization of Digestate Produced in the Biogas Production Process
Joanna Mikusińska, Monika Kuźnia, Klaudia Czerwińska, et al.
Energies (2023) Vol. 16, Iss. 14, pp. 5458-5458
Open Access | Times Cited: 12
Bi-directional prediction of hydrothermal carbonization characteristics of agroforestry and livestock wastes with variable components: Graph learning model-aided waste recycle
Zi-Kai Lin, Chao-Sheng Li, Rong-Rong Cai, et al.
Journal of Cleaner Production (2024) Vol. 439, pp. 140894-140894
Closed Access | Times Cited: 3
Machine-learning-aided hydrochar production through hydrothermal carbonization of biomass by engineering operating parameters and/or biomass mixture recipes
Lijian Leng, Junhui Zhou, Weijin Zhang, et al.
Energy (2023) Vol. 288, pp. 129854-129854
Closed Access | Times Cited: 9
Evolution characteristics and mechanism of carbon structure during co-hydrothermal carbonization of sewage sludge and sub-bituminous coal
Xiaoyang Yang, Baofeng Wang, Xutao Song, et al.
Journal of Cleaner Production (2023) Vol. 434, pp. 140382-140382
Closed Access | Times Cited: 8
Machine learning with SHapley additive exPlanations for evaluating mine truck productivity under real-site weather conditions at varying temporal resolutions
Chengkai Fan, Chathuranga Balasooriya Arachchilage, Na Zhang, et al.
International Journal of Mining Reclamation and Environment (2024) Vol. 38, Iss. 10, pp. 810-832
Closed Access | Times Cited: 2
Proactive failure warning for wind power forecast models based on volatility indicators analysis
Yunxiao Chen, Chaojing Lin, Yilan Zhang, et al.
Energy (2024) Vol. 305, pp. 132310-132310
Closed Access | Times Cited: 2
Machine learning modeling of thermally assisted biodrying process for municipal sludge
Kaiqiang Zhang, Ningfung Wang
Waste Management (2024) Vol. 188, pp. 95-106
Closed Access | Times Cited: 1
Preparation of Nanoparticle-Enriched Fuels and Prediction of Cylinder Pressure Through Machine Learning Models
Kürşat Mustafa Karaoğlan, Mehmet Çeli̇k
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 1
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: 1
Machine learning for municipal sludge recycling by thermochemical conversion towards sustainability
Lianpeng Sun, Mingxuan Li, Bingyou Liu, et al.
Bioresource Technology (2023) Vol. 394, pp. 130254-130254
Closed Access | Times Cited: 4
Anaerobic Digestion Effects on Biomass and Biodegradable Waste Hydrothermal Carbonization: An Analysis Using Statistic and Machine Learning Methods
Yuming Wen, Yong Boon Tan, Yiying Wang, et al.
(2024)
Closed Access
Exploration of Co-Gasification Mechanism of Sludge and Coal Based on Reaxff-Md Methods
Jian Gao, Weiwei Xuan, Shiying Yan, et al.
(2024)
Closed Access
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