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:

Revolutionizing Low‐Cost Solar Cells with Machine Learning: A Systematic Review of Optimization Techniques
Satyam Bhatti, Habib Ullah Manzoor, Bruno Michel, et al.
Advanced Energy and Sustainability Research (2023) Vol. 4, Iss. 10
Open Access | Times Cited: 15

Showing 15 citing articles:

Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future
Abu Danish Aiman Bin Abu Sofian, Xun Sun, Vijai Kumar Gupta, et al.
Energy & Fuels (2024) Vol. 38, Iss. 3, pp. 1593-1617
Open Access | Times Cited: 17

Exploring KGeCl3 material for perovskite solar cell absorber layer through different machine learning models
Nikhil Shrivastav, Mir Aamir Hamid, Jaya Madan, et al.
Solar Energy (2024) Vol. 278, pp. 112784-112784
Closed Access | Times Cited: 8

Achieving Over 28% Efficiency in Inorganic Halide Perovskite Ca3AsI3: Optimization of Electron Transport Layers via DFT, SCAPS-1D, and Machine Learning
Md. Sharif Uddin, Sabrina Rahman, Md. Azizur Rahman, et al.
Journal of Physics and Chemistry of Solids (2025), pp. 112622-112622
Closed Access | Times Cited: 1

The Value of Device Characterization for the Optimization of Organic Solar Cells
Leonard Christen, Beatriz Urbano, Andreas Krause, et al.
Advanced Energy Materials (2025)
Open Access

Advancements in ruthenium-based sensitizers for dye-sensitized solar cells - from structural tailoring to AI-ML
Saiyad Mahammadsoaib M., S. Mahalakshmi
Coordination Chemistry Reviews (2025) Vol. 530, pp. 216472-216472
Closed Access

Kernel regression methods for prediction of materials properties: Recent developments
Ye Min Thant, Taishiro Wakamiya, Methawee Nukunudompanich, et al.
Chemical Physics Reviews (2025) Vol. 6, Iss. 1
Open Access

Enhancement of solar cell efficiency through laser assisted surface texturing
Gaurav Singh, Rounak Chatterjee, Sumeet K. Sharma, et al.
International Journal of Advances in Engineering Sciences and Applied Mathematics (2025)
Closed Access

Revealing the Impact of CZTSe/CdS Interface Fluctuations on PV Device Performance through Big Data Analysis Assisted by Machine Learning Methods
Jaya Kottareddy Gari, Fabien Atlan, Jacob Andrade‐Arvizu, et al.
Small Methods (2025) Vol. 9, Iss. 3
Closed Access

A Machine Learning Frontier for Predicting LCOE of Photovoltaic System Economics
Satyam Bhatti, Ahsan Raza Khan, Ahmed Zoha, et al.
Advanced Energy and Sustainability Research (2024) Vol. 5, Iss. 8
Open Access | Times Cited: 3

Artificial intelligence applications in solar energy
Thanh Tuan Le, Thi Thai Le, Huu Cuong Le, et al.
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 2, pp. 826-826
Open Access | Times Cited: 3

Leveraging InGaN solar cells for visible light communication reception
Habib Ullah Manzoor, Sanaullah Manzoor, Muhammad Ali Jamshed, et al.
IET Networks (2024) Vol. 13, Iss. 4, pp. 271-279
Open Access | Times Cited: 1

Nature-inspired enhancement in power conversion efficiency of bio-photovoltaics using photosynthetic protein complexes
Karim Khanmohammadi Chenab, Mohammad‐Reza Zamani‐Meymian, Sepideh Bagheri, et al.
Materials Science in Semiconductor Processing (2024) Vol. 185, pp. 108916-108916
Closed Access | Times Cited: 1

Computational Optimization for CdS/CIGS/GaAs Layered Solar Cell Architecture
Satyam Bhatti, Habib Ullah Manzoor, Ahmed Zoha, et al.
Energies (2024) Vol. 17, Iss. 18, pp. 4758-4758
Open Access | Times Cited: 1

AI-Driven Green Campus: Solar Panel Fault Detection Using ResNet-50 for Solar-Hydrogen System in Universities
Salaki Reynaldo Joshua, Sanguk Park, Ki-Hyeon Kwon
(2024), pp. 316-325
Closed Access | Times Cited: 1

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