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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-driven prediction and optimization of monoaromatic oil production from catalytic co-pyrolysis of biomass and plastic wastes
Dan Xu, Zihang Zhang, Zijian He, et al.
Fuel (2023) Vol. 350, pp. 128819-128819
Closed Access | Times Cited: 24

Showing 24 citing articles:

Coupling of Steam and CaO Derived from Oyster Shells in the Pyrolysis of Waste Poly(ethylene terephthalate) for the Selective Production of Aromatic Hydrocarbons
Shiyu Feng, Xi Luo, Kai Li, et al.
Energy & Fuels (2024) Vol. 38, Iss. 7, pp. 5988-5997
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
Boosting engineering strategies for plastic hydrocracking applications: a machine learning-based multi-objective optimization framework
Zhe Ma, Zhibo Zhang, Changyuan Wang, et al.
Green Chemistry (2025)
Closed Access
Co-pyrolysis of biomass and plastic wastes and application of machine learning for modelling of the process: A comprehensive review
Deepak Bhushan, Sanjeevani Hooda, Prasenjit Mondal
Journal of the Energy Institute (2025) Vol. 119, pp. 101973-101973
Closed Access
Thermal Decomposition of Date Seed/Polypropylene Homopolymer: Machine Learning CDNN, Kinetics, and Thermodynamics
Zaid Abdulhamid Alhulaybi Albin Zaid, A.J. Otaru
Polymers (2025) Vol. 17, Iss. 3, pp. 307-307
Open Access
Enhancing plastic pyrolysis for carbon nanotubes synthesis through machine learning integration: A review
K. Loke, X. Lim, M.A. Osman, et al.
Journal of Analytical and Applied Pyrolysis (2025), pp. 106989-106989
Closed Access
Machine learning-aided model for predicting oily sludge pyrolysis under various feedstock and operating conditions
Cheng Lu, Dixuan Li, Beidou Xi, et al.
Journal of Hazardous Materials (2025), pp. 137654-137654
Open Access
Automated machine learning-assisted analysis of biomass catalytic pyrolysis for selective production of benzene, toluene, and xylene
Zihang Zhang, Jinlong Liu, Weiming Yi, et al.
Energy (2025), pp. 135389-135389
Closed Access
Neural Network-Based Prediction of Levoglucosan Yield: A Novel Modeling Approach
Jingjing Ma, Shuai Zhang, Xiangjun Liu, et al.
Energy (2025) Vol. 320, pp. 135396-135396
Closed Access
A Study on Machine Learning Prediction of Bio-Oil Yield from Biomass and Plastic Co-Pyrolysis
Chenxi Zhao, Qingfeng Xia, Siyu Wang, et al.
Journal of the Energy Institute (2025), pp. 102069-102069
Closed Access
Machine learning-guided optimization of nickel-based catalysts for enhanced biohydrogen production through catalytic pyrolysis of biomass
Vishal V. Persaud, Abderrachid Hamrani, Medeba Uzzi, et al.
International Journal of Hydrogen Energy (2025)
Closed Access
Machine learning-assisted prediction of gas production during co-pyrolysis of biomass and waste plastics
Quan Bu, Jianmei Bai, Bo Wang, et al.
Waste Management (2025) Vol. 200, pp. 114748-114748
Closed Access
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: 15
Optimizing pyrolysis and Co-Pyrolysis of plastic and biomass using Artificial Intelligence
Manish Sharma Timilsina, Yuvraj Chaudhary, Prikshya Bhattarai, et al.
Energy Conversion and Management X (2024) Vol. 24, pp. 100783-100783
Open Access | Times Cited: 4
Interpretable machine learning model for activation energy prediction based on biomass properties
Jiaxin Huang, Xuehui Wang, Zhuo’er Sun, et al.
Thermal Science and Engineering Progress (2024) Vol. 53, pp. 102734-102734
Closed 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
Co-pyrolysis of palm kernel shell and discarded medical bottle for biofuel production: Synergistic effect and product distribution
H. Hassan, Mohd Azmier Ahmad, N.D.A. Zali, et al.
Waste Management Bulletin (2023) Vol. 1, Iss. 4, pp. 182-194
Open Access | Times Cited: 7
One-pot synthesis of Fe modified lignin biochar for ex-situ catalytic fast pyrolysis of enzymatic hydrolysis lignin to promote the generation of aromatic hydrocarbons
Xingping Kai, Lesheng Wang, Tianhua Yang, et al.
Journal of Analytical and Applied Pyrolysis (2024) Vol. 180, pp. 106560-106560
Closed Access | Times Cited: 2
A Novel Hybrid ANN-GB-LR Model for Predicting Oil and Gas Production Rate
Riadh Al Dwood, Qingbang Meng, AL-Wesabi Ibrahim, et al.
Flow Measurement and Instrumentation (2024) Vol. 100, pp. 102690-102690
Closed Access | Times Cited: 2
Energy out of waste: kinetics and thermolysis of co-pyrolysis of biomass and municipal plastic waste
P. Baranitharan, U. Elaiyarasan, R. Sakthivel, et al.
Biomass Conversion and Biorefinery (2024)
Closed Access | Times Cited: 2
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: 6
Primary Products from Fast Co-Pyrolysis of Palm Kernel Shell and Sawdust
David O. Usino, Päivi Ylitervo, Tobias Richards
Molecules (2023) Vol. 28, Iss. 19, pp. 6809-6809
Open Access | Times Cited: 5
Sequential gated recurrent and self attention explainable deep learning model for predicting hydrogen production: Implications and applicability
Chiagoziem C. Ukwuoma, Dongsheng Cai, Chibueze D. Ukwuoma, et al.
Applied Energy (2024) Vol. 378, pp. 124851-124851
Closed Access | Times Cited: 1
Effects of stepwise nitrogen-enriched pyrolysis strategies on nitrogenous compounds enrichment in cellulose pyrolysis bio-oils and nitrogen migration pathways
Jia Liu, Shanjian Liu, An Zhao, et al.
Energy (2024) Vol. 306, pp. 132473-132473
Closed Access | Times Cited: 1
Insights into heavy components evolution in the condensed volatiles from amino acids pyrolysis
Hengda Han, Aishu Li, Song Hu, et al.
Fuel (2024) Vol. 370, pp. 131757-131757
Closed Access
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