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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-enabled analysis of product distribution and composition in biomass-coal co-pyrolysis
Alireza Shafizadeh, Hossein Shahbeik, Shahin Rafiee, et al.
Fuel (2023) Vol. 355, pp. 129464-129464
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

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
Thermogravimetric experiments based prediction of biomass pyrolysis behavior: A comparison of typical machine learning regression models in Scikit-learn
Zhong Yu, Fahang Liu, Guozhe Huang, et al.
Marine Pollution Bulletin (2024) Vol. 202, pp. 116361-116361
Closed Access | Times Cited: 11
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: 10
Pyrolysis parameter based optimization study using response surface methodology and machine learning for potato stalk
Ahmad Nawaz, Shaikh A. Razzak, Pradeep Kumar
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 159, pp. 105476-105476
Closed Access | Times Cited: 8
Pyrolysis preparation of battery-grade Li2CO3 using the Higee-microwave coupled reactor: Process optimization and AI modeling
Yue Liu, Xiaokang Pei, Cong Chen, et al.
Chemical Engineering and Processing - Process Intensification (2025), pp. 110159-110159
Closed Access | Times Cited: 1
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 | Times Cited: 1
Study on the Co-gasification characteristics of biomass and municipal solid waste based on machine learning
Jingwei Qi, Yijie Wang, Pengcheng Xu, et al.
Energy (2023) Vol. 290, pp. 130178-130178
Closed Access | Times Cited: 16
Enhancing pyrolysis process monitoring and prediction for biomass: A machine learning approach
Jingxin Liu, Huafei Lyu, Can Cheng, et al.
Fuel (2024) Vol. 362, pp. 130873-130873
Closed Access | Times Cited: 5
Multi-output neural network model for predicting biochar yield and composition
Yifan Wang, Liang Xu, Jianen Li, et al.
The Science of The Total Environment (2024) Vol. 945, pp. 173942-173942
Closed Access | Times Cited: 5
Study on biomass and polymer catalytic co-pyrolysis product characteristics using machine learning and shapley additive explanations (SHAP)
Jingwei Qi, Yijie Wang, Pengcheng Xu, et al.
Fuel (2024) Vol. 380, pp. 133165-133165
Closed Access | Times Cited: 5
Recent Trends in Biomass Valorization for Energy
Mehdi Mennani, Anass Ait Benhamou, Mounir EI Achaby, et al.
Environmental science and engineering (2025), pp. 453-488
Closed Access
Optimization of Multi stage Co-pyrolysis Process using Municipal Solid Waste and Sawdust blends: A Hybrid Approach using Iso-conversional Modeling and Machine Learning
Ishfaq Najar, Tanveer Rasool
Journal of the Indian Chemical Society (2025), pp. 101605-101605
Closed Access
Effects of alkali and alkaline earth metals in biomass on co-pyrolysis characteristics and product distribution of coal and biomass
Na Liu, He Huang, Jun Feng, et al.
Fuel (2025) Vol. 389, pp. 134551-134551
Closed Access
Modeling and kinetic analysis for co-pyrolysis of sewage sludge and municipal solid waste under multiple factors
Hongnan Zhang, Yunan Sun, Junyu Tao, et al.
Environment Development and Sustainability (2025)
Closed Access
Structure-performance relationship between zeolites properties and hydrocracking performance of tetralin over NiMo/Al2O3-Y catalysts: A machine-learning-assisted study
Wei David Wang, Mingfeng Li, Yang Zhang, et al.
Fuel (2025) Vol. 390, pp. 134652-134652
Closed Access
Alkalized corn straw and red mud as bicomponent binder to regulate properties of biomass-coal briquette and its pyrolysis reactivity
Bin Tian, Minlin Zhong, Siyu Wang, et al.
Fuel (2025) Vol. 392, pp. 134899-134899
Closed Access
Machine learning-driven optimization of Ni-based catalysts for catalytic steam reforming of biomass tar
Nantao Wang, Hongyuan He, Yaolin Wang, et al.
Energy Conversion and Management (2023) Vol. 300, pp. 117879-117879
Open Access | Times Cited: 12
Comprehensive Quantitative Analysis of Coal-Based Liquids by Mask R-CNN-Assisted Two-Dimensional Gas Chromatography
Huan-Huan Fan, Xiangling Wang, Jie Feng, et al.
Separations (2025) Vol. 12, Iss. 2, pp. 22-22
Open Access
Ammonia-rich pyrolysis mechanism of pyridine derivatives: A study based on ReaxFF molecular dynamics simulation
Wenyang Liu, Hai Zhang, Junjie Cao, et al.
Fuel (2025) Vol. 391, pp. 134770-134770
Closed Access
Yield and Energy Modeling for Biochar and Bio-Oil Using Pyrolysis Temperature and Biomass Constituents
Mahmoud Awad, Yassir Makkawi, Noha M. Hassan
ACS Omega (2024) Vol. 9, Iss. 16, pp. 18654-18667
Open Access | Times Cited: 3
Critical insights into ensemble learning with decision trees for the prediction of biochar yield and higher heating value from pyrolysis of biomass
Saurav Kandpal, Ankita Tagade, Ashish N. Sawarkar
Bioresource Technology (2024) Vol. 411, pp. 131321-131321
Closed Access | Times Cited: 3
Oxidative pyrolysis for enhanced-CO2 adsorption capacity in biosolid-derived biochar
D. Kim, S.A. Hadigheh
Biomass and Bioenergy (2024) Vol. 190, pp. 107407-107407
Open Access | Times Cited: 3
Biomass Hydrothermal Gasification Characteristics Study: Based on Deep Learning for Data Generation and Screening Strategies
Jingwei Qi, Yijie Wang, Pengcheng Xu, et al.
Energy (2024), pp. 133492-133492
Closed Access | Times Cited: 3
A comprehensive pyrolysis study of sorghum and reed stalk: TG/IR/MS analysis and machine learning-assisted kinetic prediction
Jiaxin Huang, Zhuo’er Sun, Xuehui Wang, et al.
Process Safety and Environmental Protection (2023) Vol. 181, pp. 219-231
Closed Access | Times Cited: 8
Machine learning-driven prediction and optimization of pyrolysis oil and limonene production from waste tires
Jingwei Qi, Pengcheng Xu, Mingjun Hu, et al.
Journal of Analytical and Applied Pyrolysis (2023) Vol. 177, pp. 106296-106296
Closed Access | Times Cited: 7
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