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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:

Modeling photocatalytic hydrogen production from ethanol over copper oxide nanoparticles: a comparative analysis of various machine learning techniques
Alyaa K. Mageed
Biomass Conversion and Biorefinery (2021) Vol. 13, Iss. 4, pp. 3319-3327
Closed Access | Times Cited: 16

Showing 16 citing articles:

Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery
Haoxin Mai, Tu C. Le, Dehong Chen, et al.
Chemical Reviews (2022) Vol. 122, Iss. 16, pp. 13478-13515
Closed Access | Times Cited: 242
Optimizing hydrogen evolution prediction: A unified approach using random forests, lightGBM, and Bagging Regressor ensemble model
Rezan Bakır, Ceren Orak, Aslı Yüksel
International Journal of Hydrogen Energy (2024) Vol. 67, pp. 101-110
Closed Access | Times Cited: 17
Analysis and prediction of green hydrogen production potential by photovoltaic-powered water electrolysis using machine learning in China
Guishi Cheng, Ercheng Luo, Ying Zhao, et al.
Energy (2023) Vol. 284, pp. 129302-129302
Closed Access | Times Cited: 35
Machine learning integrated photocatalysis: progress and challenges
Luyao Ge, Yuanzhen Ke, Xiaobo Li
Chemical Communications (2023) Vol. 59, Iss. 39, pp. 5795-5806
Closed Access | Times Cited: 30
A bibliographic analysis of optimization of hydrogen production via electrochemical method using machine learning
Sadaf Iqbal, Kiran Aftab, Fakiha Tul Jannat, et al.
Fuel (2024) Vol. 372, pp. 132126-132126
Closed Access | Times Cited: 6
Synthesis and Performance of Photocatalysts for Photocatalytic Hydrogen Production: Future Perspectives
Salvador Escobedo, Hugo de Lasa
Catalysts (2021) Vol. 11, Iss. 12, pp. 1505-1505
Open Access | Times Cited: 44
Navigating challenges and opportunities of machine learning in hydrogen catalysis and production processes: beyond algorithm development
Mohd Nur Ikhmal Salehmin, Sieh Kiong Tiong, Hassan Mohamed, et al.
Journal of Energy Chemistry (2024) Vol. 99, pp. 223-252
Closed Access | Times Cited: 4
Bio-hydrogen production from the photocatalytic conversion of wastewater: Parametric analysis and data-driven modelling using nonlinear autoregressive with exogeneous input and back-propagated multilayer perceptron neural networks
Ramesh Kanthasamy, Imtiaz Ali, Bamidele Victor Ayodele, et al.
Fuel (2023) Vol. 344, pp. 128026-128026
Closed Access | Times Cited: 10
A machine learning ensemble approach for predicting solar-sensitive hybrid photocatalysts on hydrogen evolution
Rezan Bakır, Ceren Orak, Aslı Yüksel
Physica Scripta (2024) Vol. 99, Iss. 7, pp. 076015-076015
Closed Access | Times Cited: 3
Recent advances and applications of machine learning in electrocatalysis
You Hu, Junhua Chen, Zheng Wei, et al.
Journal of Materials Informatics (2023) Vol. 3, Iss. 3
Open Access | Times Cited: 9
Comparative Analysis of Support Vector Machine Regression and Gaussian Process Regression in Modeling Hydrogen Production from Waste Effluent
SK Safdar Hossain, Bamidele Victor Ayodele, Syed Sadiq Ali, et al.
Sustainability (2022) Vol. 14, Iss. 12, pp. 7245-7245
Open Access | Times Cited: 10
A deep neural multi-model ensemble (DNM2E) framework for modelling groundwater levels over Kerala using dynamic variables
A. Keerthana, Archana Nair
Stochastic Environmental Research and Risk Assessment (2023)
Closed Access | Times Cited: 4
Modeling spinel oxide based-photocatalytic degradation of organic pollutants from industrial wastewater
Sajda S. Alsaedi, Seba Saeed Mohammed, Alyaa Esam Mahdi, et al.
Chemical Engineering Communications (2023) Vol. 211, Iss. 4, pp. 603-613
Closed Access | Times Cited: 3
Development and selection of lignocellulose biomass and nano-additive combination for co-pyrolysis operation in power generation using hybrid prediction and Machine learning model – A k-means cluster approach
Osama Khan, Mohd Parvez, Aiyeshah Alhodaib, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 72, pp. 104061-104061
Closed Access
Adaptive Neural Architecture Search Using Meta-Heuristics: Discovering Fine-Tuned Predictive Models for Photocatalytic CO2 Reduction
Ümit Işıkdağ, Gebrai̇l Bekdaş, Yaren Aydın, et al.
Sustainability (2024) Vol. 16, Iss. 23, pp. 10756-10756
Open Access
Application of machine learning approach for green hydrogen
Amit Verma, Kanchan Rathore, Rohit Srivastava
Elsevier eBooks (2023), pp. 525-543
Closed Access
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