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: 45

Showing 26-50 of 45 citing articles:

Machine learning-driven product prediction and process optimization for catalytic pyrolysis of polyolefin plastics
Hualiang Li, Zhenzhen Wu, Hongyuan He, et al.
Energy Conversion and Management (2025) Vol. 333, pp. 119789-119789
Closed Access

Advancing green sustainability: A comprehensive review of biomass briquette integration for coal-based energy frameworks
Mingjun Wu, Kexin Wei, Jinxuan Jiang, et al.
International Journal of Coal Science & Technology (2025) Vol. 12, Iss. 1
Open Access

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

A novel dual-way inference modeling method for coal coking: Predicting H2 and CH4 concentrations in coke oven gas and inferring optimal reaction conditions
Xiaoguo Zhang, Danni Ren, Xiaolan Fu, et al.
Fuel (2024) Vol. 381, pp. 133325-133325
Closed Access | Times Cited: 3

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

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

Predicting the compressive strength of foam concrete: an in-depth investigation employing material analysis and beetle antennae search-random forest modelling
Y. Sivananda Reddy, S. Anandh, S. Sindhu Nachiar
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 8
Closed Access | Times Cited: 2

Co-pyrolysis characteristics and kinetics of rice straw and low rank coal
Donghai Xu, Lijie Yang, Huanteng Liu, et al.
Journal of Analytical and Applied Pyrolysis (2024) Vol. 183, pp. 106741-106741
Closed Access | Times Cited: 2

Co-pyrolysis behaviors and reaction mechanism analyses of coal slime and moso bamboo based on GC/MS and backpropagation neural network
Xiufen Ma, Haifeng Ning, Xianjun Xing, et al.
International Journal of Hydrogen Energy (2024) Vol. 98, pp. 197-210
Closed Access | Times Cited: 2

Analysis of the possibility of solid-phase ignition of coal fuel
Г. В. Кузнецов, S.V. Syrodoy, M.V. Purin, et al.
Energy (2023) Vol. 288, pp. 129579-129579
Closed Access | Times Cited: 2

Prediction of entire thermal degradation process of polymethyl methacrylate infiltrated with kerosene by a modified artificial neural network
Yueqiang Wu, Zhiyuan Zhao, Ruiyu Chen, et al.
Journal of Vinyl and Additive Technology (2023) Vol. 30, Iss. 3, pp. 677-702
Closed Access | Times Cited: 1

Determination of composite fuel parameters in the operation of technogenic deposits of coal mining enterprises
Oleksandr Haidai, Vladyslav Ruskykh, Andrii Koveria, et al.
E3S Web of Conferences (2024) Vol. 526, pp. 01021-01021
Open Access

Thermal Plasma Medical Waste Treatment: Data-ML Driven System Performance and Product Prediction
Haoyang Shi, Pingyang Wang
Waste and Biomass Valorization (2024)
Closed Access

Bridging uncertainty gaps with artificial intelligence-assisted syngas precise prediction in coal gasification
Ying-jie Zhao, Jiancheng Wang, Qun Yi
Chemical Engineering Science (2024), pp. 120734-120734
Closed Access

Machine-learning-aided biochar production from aquatic biomass
Zhilong Yuan, Ye Wang, Lingfeng Zhu, et al.
Carbon Research (2024) Vol. 3, Iss. 1
Open Access

Approaches in biorefinery
Olatunde Samuel Dahunsi
Elsevier eBooks (2024), pp. 557-602
Closed Access

Analysis of the Possibility of Solid-Phase Ignition of Coal Fuel
S.V. Syrodoy, Г. В. Кузнецов, M.V. Purin, et al.
(2023)
Closed Access

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