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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.

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Showing 1-25 of 27 citing articles:

Advancements in biomass waste conversion to sustainable biofuels via gasification
Kunmi Joshua Abioye, Ricky Rajamanickam, Temidayo O. Ogunjinmi, et al.
Chemical Engineering Journal (2025) Vol. 505, pp. 159151-159151
Closed Access | Times Cited: 2
A novel intelligent system based on machine learning for hydrochar multi-target prediction from the hydrothermal carbonization of biomass
Weijin Zhang, Junhui Zhou, Qian Liu, et al.
Biochar (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 13
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: 12
Spatiotemporal variation and driving factors of vegetation net primary productivity in the Guanzhong Plain Urban Agglomeration, China from 2001 to 2020
Yuke Liu, Chenlu Huang, Chun Yang, et al.
Journal of Arid Land (2025) Vol. 17, Iss. 1, pp. 74-92
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: 21
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
Renewable methyl acetate production from dimethyl ether carbonylation in a fluidized bed reactor
Jun Young Kim, Zezhong John Li, Hyun Seung Jung, et al.
Chemical Engineering Journal (2024) Vol. 489, pp. 151326-151326
Closed Access | Times Cited: 5
Deep reinforcement learning based interpretable photovoltaic power prediction framework
Rongquan Zhang, Siqi Bu, Min Zhou, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 67, pp. 103830-103830
Closed Access | Times Cited: 5
Machine learning analysis of pressure fluctuations in a gas-solid fluidized bed
Hao Cheng, Zhaoyong Liu, Shuo Li, et al.
Powder Technology (2024) Vol. 444, pp. 120065-120065
Closed Access | Times Cited: 5
Improving syngas yield and quality from biomass/coal co-gasification using cooperative game theory and local interpretable model-agnostic explanations
Cristina Efremov, Thanh Tuan Le, Prabhu Paramasivam, et al.
International Journal of Hydrogen Energy (2024) Vol. 96, pp. 892-907
Closed Access | Times Cited: 3
An ensemble multi-ANN approach for virtual oxygen sensing and air leakage prediction in biomass gasification plants
Antonio Escámez, Roque Aguado, Daniel Sánchez-Lozano, et al.
Renewable Energy (2025), pp. 122376-122376
Closed Access
Comparative Analysis of Advanced Machine Learning Regression Models with Advanced Artificial Intelligence Techniques to Predict Rooftop PV Solar Power Plant Efficiency Using Indoor Solar Panel Parameters
İhsan Levent, Gökhan Şahin, Gültekin Işık, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3320-3320
Open Access
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
Combination of integrated machine learning model frameworks and infrared spectroscopy towards fast and interpretable characterization of model pyrolysis oil
Chao Chen, Rui Liang, Jingyu Zhu, et al.
Renewable Energy (2024), pp. 121434-121434
Closed Access | Times Cited: 2
Towards Sustainable Biomass Conversion Technologies: A Review of Mathematical Modeling Approaches
Sylwia Polesek-Karczewska, Paulina Hercel, Behrouz Adibimanesh, et al.
Sustainability (2024) Vol. 16, Iss. 19, pp. 8719-8719
Open Access | Times Cited: 2
Biomass Gasification and Applied Intelligent Retrieval in Modeling
Manish Meena, Hrishikesh Kumar, Nitin Dutt Chaturvedi, et al.
Energies (2023) Vol. 16, Iss. 18, pp. 6524-6524
Open Access | Times Cited: 4
Soft Sensor Design for Product Gas Composition Monitoring Including Fault Isolation in a Dual Fluidized Bed Biomass Gasifier
Jonas Vogler, Lukas Stanger, Alexander Bartik, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Application of machine learning to model waste energy recovery for green hydrogen production: a techno-economic analysis
Ali Mojtahed, Gianluigi Lo Basso, Lorenzo Mario Pastore, et al.
Energy (2024), pp. 134337-134337
Closed Access | Times Cited: 1
Enhancing co-gasification gas yield prediction in downdraft gasifiers through statistical correction strategy
Zherui Ma, Yingsong Feng, Jiangjiang Wang, et al.
International Journal of Hydrogen Energy (2023) Vol. 49, pp. 1007-1018
Closed Access | Times Cited: 1
APPLICATION OF MACHINE LEARNING FOR PREDICTING PRESSURE DROP IN FLUIDIZED DENSE PHASE PNEUMATIC CONVEYING
J. S. Shijo, Niranjana Behera
International journal of fluid mechanics research (2024) Vol. 51, Iss. 5, pp. 1-15
Closed Access
Data Reconstruction for the Faulty Sensor in Chiller Based on Automatic Machine Learning Frameworks
Pinguo Wu, Yunpeng Hu, Guannan Li, et al.
(2024)
Closed Access
Application of Machine Learning to Model Waste Energy Recovery for Green Hydrogen Production: A Techno-Economic Analysis
Gianluigi Lo Basso, Ali Mojtahed, Lorenzo Mario Pastore, et al.
(2024)
Closed Access
Combination of Integrated Machine Learning Model Frameworks and Infrared Spectroscopy Towards Fast and Interpretable Characterization of Biomass Pyrolysis Oil
Chao Chen, Rui Liang, Jingyu Zhu, et al.
(2024)
Closed Access
Customized Software Package for the Simultaneous Prediction of Multiple Fluidization Characteristic Parameters in Liquid–Solid Fluidized Beds
Jiawei He, Ruiqi Lei, Le Xie
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 28, pp. 12656-12669
Closed Access
Combination of Integrated Machine Learning Model Frameworks and Infrared Spectroscopy Towards Fast and Interpretable Characterization of Biomass Pyrolysis Oil
Chao Chen, Rui Liang, Jingyu Zhu, et al.
(2024)
Closed Access
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