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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:

Predicting the device performance of the perovskite solar cells from the experimental parameters through machine learning of existing experimental results
Yao Lu, Dong Wei, Wu Liu, et al.
Journal of Energy Chemistry (2022) Vol. 77, pp. 200-208
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Machine Learning for Perovskite Solar Cells and Component Materials: Key Technologies and Prospects
Yiming Liu, Xinyu Tan, Jie Liang, et al.
Advanced Functional Materials (2023) Vol. 33, Iss. 17
Closed Access | Times Cited: 79
Application of machine learning in perovskite materials and devices: A review
Ming Chen, Zhenhua Yin, Zhicheng Shan, et al.
Journal of Energy Chemistry (2024) Vol. 94, pp. 254-272
Closed Access | Times Cited: 17
Advancing perovskite solar cell commercialization: Bridging materials, vacuum deposition, and AI-assisted automation
Zhihao Xu, Sang‐Hyun Chin, Bo‐In Park, et al.
Next Materials (2024) Vol. 3, pp. 100103-100103
Open Access | Times Cited: 16
Materials genome engineering accelerates the research and development of organic and perovskite photovoltaics
Ying Shang, Ziyu Xiong, Kang An, et al.
Materials Genome Engineering Advances (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 16
Machine Learning in Perovskite Solar Cells: Recent Developments and Future Perspectives
Nitin Bansal, Snehangshu Mishra, Himanshu Dixit, et al.
Energy Technology (2023) Vol. 11, Iss. 12
Open Access | Times Cited: 33
Meticulous research for design of plasmonics sensors for cancer detection and food contaminants analysis via machine learning and artificial intelligence
Fatemeh Jafrasteh, Ali Farmani, J Mohamadi
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 24
Unveiling dominant recombination loss in perovskite solar cells with a XGBoost-based machine learning approach
Basir Akbar, Hilal Tayara, Kil To Chong
iScience (2024) Vol. 27, Iss. 3, pp. 109200-109200
Open Access | Times Cited: 11
Halide Perovskites for Photoelectrochemical Water Splitting and CO2 Reduction: Challenges and Opportunities
Krzysztof Bieńkowski, Renata Solarska, Linh Trinh, et al.
ACS Catalysis (2024) Vol. 14, Iss. 9, pp. 6603-6622
Open Access | Times Cited: 11
Deep learning for augmented process monitoring of scalable perovskite thin-film fabrication
Felix Laufer, Markus Götz, Ulrich W. Paetzold
Energy & Environmental Science (2025)
Open Access | Times Cited: 1
Machine learning enables intelligent screening of interface materials towards minimizing voltage losses for p-i-n type perovskite solar cells
Wu Liu, Ning Meng, Xiaomin Huo, et al.
Journal of Energy Chemistry (2023) Vol. 83, pp. 128-137
Closed Access | Times Cited: 21
Selecting an appropriate machine-learning model for perovskite solar cell datasets
Mohamed M. Salah, Zahraa Ismail, Sameh O. Abdellatif
Materials for Renewable and Sustainable Energy (2023) Vol. 12, Iss. 3, pp. 187-198
Open Access | Times Cited: 21
A Comprehensive Review of the Application of Machine Learning in Fabrication and Implementation of Photovoltaic Systems
Srabanti Datta, Anik Baul, Gobinda Chandra Sarker, et al.
IEEE Access (2023) Vol. 11, pp. 77750-77778
Open Access | Times Cited: 17
Machine Learning Guided Strategies to Develop High Efficiency Indoor Perovskite Solar Cells
Snehangshu Mishra, Sangratna Baburao Gaikwad, Trilok Singh
Advanced Theory and Simulations (2024) Vol. 7, Iss. 5
Closed Access | Times Cited: 6
Amorphous-dominated MgO hollow spheres enhanced fluoride adsorption: Mechanism analysis and machine learning prediction
Lin Fan, Dexi Wang, Honglei Yu, et al.
The Journal of Chemical Physics (2025) Vol. 162, Iss. 1
Closed Access
Impact of Halogen Groups on the Properties of PEA‐Based 2D Pb–Sn Halide Perovskites
Elham Foadian, Sheryl L. Sanchez, Sumner B. Harris, et al.
Advanced Optical Materials (2025)
Closed Access
Artificial Data Generation: A Strategy to Improve Efficiency Predictions in Mixed Sn-Pb Perovskite Solar Cells
Behzad Iranipour, Mohammadreza Sadeghian, Ezeddin Mohajerani
Materials Today Communications (2025), pp. 111625-111625
Closed Access
Optimization and Interpretability Analysis of Machine Learning Methods for ZnO Colloid Particle Size Prediction
Lin Fan, Honglei Yu, Yan He, et al.
ACS Applied Nano Materials (2025)
Closed Access
A data-driven interpretable method to predict capacities of metal ion doped TiO2 anode materials for lithium-ion batteries using machine learning classifiers
Mingxi Jiang, Yajuan Zhang, Zihao Yang, et al.
Inorganic Chemistry Frontiers (2023) Vol. 10, Iss. 22, pp. 6646-6654
Closed Access | Times Cited: 11
Exploring device physics of perovskite solar cell via machine learning with limited samples
Shanshan Zhao, Jie Wang, Zhongli Guo, et al.
Journal of Energy Chemistry (2024) Vol. 94, pp. 441-448
Closed Access | Times Cited: 4
Probing the Low-Frequency Response of Impedance Spectroscopy of Halide Perovskite Single Crystals Using Machine Learning
Nishi Parikh, Seçkin Akın, Abul Kalam, et al.
ACS Applied Materials & Interfaces (2023) Vol. 15, Iss. 23, pp. 27801-27808
Closed Access | Times Cited: 9
Machine learning-assisted screening of effective passivation materials for P–I–N type perovskite solar cells
Di Huang, Chaorong Guo, Zhennan Li, et al.
Journal of Materials Chemistry C (2023) Vol. 11, Iss. 28, pp. 9602-9610
Closed Access | Times Cited: 9
Exploring the influence of crystallization fouling on microscale heat exchangers through machine learning analysis
Seyed Hamed Godasiaei
Numerical Heat Transfer Part A Applications (2024), pp. 1-27
Closed Access | Times Cited: 3
A review on computational modeling of instability and degradation issues of halide perovskite photovoltaic materials
Pranjul Bhatt, Ayush Kumar Pandey, Ashutosh Rajput, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2023) Vol. 13, Iss. 6
Closed Access | Times Cited: 7
Measurement of information content of Perovskite solar cell’s synthesis descriptors related to performance parameters
J. D. Vélez, Mónica A. Botero L., Alexander Sepúlveda
Emergent Materials (2024) Vol. 7, Iss. 5, pp. 1961-1968
Open Access | Times Cited: 2
Optimizing the performance of vapor-deposited perovskite solar cells through advanced predictive modeling
Seyed Hamed Godasiaei
Journal of Materials Science (2024) Vol. 59, Iss. 21, pp. 9398-9422
Closed Access | Times Cited: 2
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