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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:

Performance prediction and optimization of perovskite solar cells based on the Bayesian approach
Wenhao Li, Jinghao Hu, Zhengxin Chen, et al.
Solar Energy (2023) Vol. 262, pp. 111853-111853
Closed Access | Times Cited: 10

Showing 10 citing articles:

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: 20
Machine learning driven performance for hole transport layer free carbon-based perovskite solar cells
Sreeram Valsalakumar, Shubhranshu Bhandari, Anurag Roy, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 4
Ionic Conductivity Study of Antiperovskite Solid-State Electrolytes Based on Interpretable Machine Learning
Shang Xiang, Shaowen Lu, Jiawei Li, et al.
ACS Applied Energy Materials (2025)
Closed Access
Machine Learning-enhanced Copper (I) Thiocyanate-based Perovskite-silicon Tandem Solar Cells: Optimization Strategies for Enhanced Efficiency and Stability
John Sunday Uzochukwu, Okey-Onyesolu Chinenye Faith, Ezechukwu Chioma Mary-Jane, et al.
Archives of Case Reports (2025) Vol. 9, Iss. 3, pp. 081-131
Open Access
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
Effect of oxide diffusion barrier and substrate on the reliability of stainless-steel-based CIGS solar cells
Hansung Kim, Szymon P. Cias
Solar Energy Materials and Solar Cells (2024) Vol. 272, pp. 112888-112888
Closed 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
Bayesian reverse design of high-efficiency perovskite solar cells based on experimental knowledge constraints
Hongyu Liu, Zuyun Chen, Yaping Zhang, et al.
Applied Physics Letters (2024) Vol. 125, Iss. 6
Closed Access | Times Cited: 2
Perovskite Solar Cell: Chemical Composition and Bandgap Energy via Machine Learning
Filipi França dos Santos, Kelly Cristine da Silveira, Gesiane Mendonça Ferreira, et al.
The Journal of Engineering and Exact Sciences (2023) Vol. 9, Iss. 9, pp. 17804-17804
Open Access | Times Cited: 1
A machine learning model with crude estimation of property strategy for performance prediction of perovskite solar cells based on process optimization
Dan Li, Ernie Che Mid, Shafriza Nisha Basah, et al.
APL Materials (2024) Vol. 12, Iss. 12
Open Access
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