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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:

Effects of waste-based pyrolysis as heating source: Meta-analyze of char yield and machine learning analysis
Zhenhua Huang, Maurizio Manzo, Changlei Xia, et al.
Fuel (2022) Vol. 318, pp. 123578-123578
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Applications of machine learning in thermochemical conversion of biomass-A review
Muzammil Khan, Salman Raza Naqvi, Zahid Ullah, et al.
Fuel (2022) Vol. 332, pp. 126055-126055
Closed Access | Times Cited: 141
Machine learning predicting wastewater properties of the aqueous phase derived from hydrothermal treatment of biomass
Lijian Leng, Weijin Zhang, Tonggui Liu, et al.
Bioresource Technology (2022) Vol. 358, pp. 127348-127348
Closed Access | Times Cited: 54
Biomass microwave pyrolysis characterization by machine learning for sustainable rural biorefineries
Yadong Yang, Hossein Shahbeik, Alireza Shafizadeh, et al.
Renewable Energy (2022) Vol. 201, pp. 70-86
Closed Access | Times Cited: 52
Influence of Biomass Composition and Microwave Pyrolysis Conditions on Biochar Yield and its Properties: a Machine Learning Approach
Mari Selvam S., P. Balasubramanian
BioEnergy Research (2022) Vol. 16, Iss. 1, pp. 138-150
Closed Access | Times Cited: 40
Biochar yield prediction using response surface methodology: effect of fixed carbon and pyrolysis operating conditions
Sabah Mariyam, Mohammad Alherbawi, Snigdhendubala Pradhan, et al.
Biomass Conversion and Biorefinery (2023) Vol. 14, Iss. 22, pp. 28879-28892
Open Access | Times Cited: 39
Investigation and optimization of biodiesel production based on multiple machine learning technologies
Xin Jin, Shi‐Hao Li, Haoran Ye, et al.
Fuel (2023) Vol. 348, pp. 128546-128546
Closed Access | Times Cited: 25
Machine learning to predict the production of bio-oil, biogas, and biochar by pyrolysis of biomass: a review
Kapil Khandelwal, Sonil Nanda, Ajay K. Dalai
Environmental Chemistry Letters (2024)
Closed Access | Times Cited: 10
Simulation and multi-objective optimization of argan residues slow pyrolysis for polygeneration of bio-oil, biochar, and gas products
Sara El Kourdi, Souad Abderafi, Abdelkhalek Cheddadi, et al.
Energy Conversion and Management (2024) Vol. 304, pp. 118206-118206
Closed Access | Times Cited: 9
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 | Times Cited: 1
Prediction of three-phase product yield of biomass pyrolysis using artificial intelligence-based models
Danah Ruth Cahanap, Javad Mohammadpour, Salman Jalalifar, et al.
Journal of Analytical and Applied Pyrolysis (2023) Vol. 172, pp. 106015-106015
Closed Access | Times Cited: 18
Biomass energy transformation: Harnessing the power of explainable ai to unlock the potential of ultimate analysis data
Mansoor Alruqi, Prabhakar Sharma, Sameer Algburi, et al.
Environmental Technology & Innovation (2024) Vol. 35, pp. 103652-103652
Open Access | Times Cited: 8
Exploring machine learning applications in chemical production through valorization of biomass, plastics, and petroleum resources: A comprehensive review
Iradat Hussain Mafat, Dadi Venkata Surya, Sumeet K. Sharma, et al.
Journal of Analytical and Applied Pyrolysis (2024) Vol. 180, pp. 106512-106512
Closed Access | Times Cited: 5
Energy harvesting from tropical biomasses in Wallacea region: scenarios, technologies, and perspectives
Arif Darmawan, A. Taufiq Asyhari, Iswan Dunggio, et al.
Biomass Conversion and Biorefinery (2023) Vol. 14, Iss. 17, pp. 20017-20035
Open Access | Times Cited: 12
A review on biomass thermal-oxidative decomposition data and machine learning prediction of thermal analysis
Yuying Chen, Zilong Wang, Shaorun Lin, et al.
Cleaner Materials (2023) Vol. 9, pp. 100206-100206
Open Access | Times Cited: 12
A Critical Review of Data Science Applications in Resource Recovery and Carbon Capture from Organic Waste
Mohammed Tamim Zaki, Lewis S. Rowles, Donald Adjeroh, et al.
ACS ES&T Engineering (2023) Vol. 3, Iss. 10, pp. 1424-1467
Open Access | Times Cited: 12
Insight into the molecular structure construction and pyrolysis mechanism simulation of typical carbonaceous feedstocks for the rapid design and preparation of porous carbon-based materials
Li Zhao, Bo Yuan, Lele Gong, et al.
Fuel (2024) Vol. 379, pp. 132893-132893
Closed Access | Times Cited: 4
CHARACTERIZATION OF PALM PYROLYSIS OIL PRODUCED FROM FRESH PALM FRUIT BUNCHES WITH A MODIFIED DOWNDRAFT BIOMASS GASIFIER AND BURNER AS HEAT SOURCE
Nathawat Unsomsri, Sommas Kaewluan, Sittinun Tawkaew, et al.
Journal of Analytical and Applied Pyrolysis (2024), pp. 106917-106917
Closed Access | Times Cited: 4
A critical review of waste tire pyrolysis for diesel engines: Technologies, challenges, and future prospects
Yogesh Dewang, Vipin Sharma, Yogesh Kumar Singla
Sustainable materials and technologies (2025), pp. e01291-e01291
Closed Access
Prediction of methane hydrate equilibrium in saline water solutions based on support vector machine and decision tree techniques
Chou‐Yi Hsu, Jorge Sebastián Buñay Guamán, Amit Ved, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Self-Driving Surrogate Modeling for Optimizing Targeted Bio-Oil Yield and Heating Value in Waste Biomass-Plastic Co-Pyrolysis
Atthasit Tawai, Santi Bardeeniz, Chutithep Rochpuang, et al.
Journal of Analytical and Applied Pyrolysis (2025), pp. 107158-107158
Closed Access
Calorific value prediction of coal and its optimization by machine learning based on limited samples in a wide range
Kaan Büyükkanber, H. Haykırı-Açma, S. Yaman
Energy (2023) Vol. 277, pp. 127666-127666
Closed Access | Times Cited: 10
A data-driven framework to inform sustainable management of animal manure in rural agricultural regions using emerging resource recovery technologies
Mohammed Tamim Zaki, Lewis S. Rowles, Jeff Hallowell, et al.
Cleaner Environmental Systems (2024) Vol. 13, pp. 100188-100188
Open Access | Times Cited: 3
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: 8
A new method based on multiresolution graph-based clustering for lithofacies analysis of well logging
Xin Luo, Jianmeng Sun, Jinyan Zhang, et al.
Computational Geosciences (2024) Vol. 28, Iss. 3, pp. 491-502
Closed Access | Times Cited: 2
Turning Trash to Treasure: The Influence of Carbon Waste Source on the Photothermal Behaviour of Plasmonic Titanium Carbide Interfaces
Matthew J. Margeson, Mark Atwood, Mita Dasog
ChemPhysChem (2024)
Open Access | Times Cited: 2
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