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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:

Efficiency and Stability Analysis of 2D/3D Perovskite Solar Cells Using Machine Learning
Beyza Yılmaz, Çağla Odabaşı, Ramazan Yıldırım
Energy Technology (2022) Vol. 10, Iss. 3
Closed Access | Times Cited: 18

Showing 18 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: 84
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: 18
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: 15
The role of machine learning in perovskite solar cell research
Chen Chen, Ayman Maqsood, T. Jesper Jacobsson
Journal of Alloys and Compounds (2023) Vol. 960, pp. 170824-170824
Closed Access | Times Cited: 19
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
Predicting the bandgap and efficiency of perovskite solar cells using machine learning methods
Asad Khan, Jeevan Kandel, Hilal Tayara, et al.
Molecular Informatics (2023) Vol. 43, Iss. 2
Closed Access | Times Cited: 12
Machine Learning-Assisted Analysis of Perovskite Solar Cell Long-Term Stability under Multiple Environmental Factors
Shanshan Zhao, Sijia Zhou, Zhongli Guo, et al.
ACS Sustainable Chemistry & Engineering (2025)
Closed Access
Optoelectronic and Thermoelectric Attributes in Lead Free Hybrid Double Perovskite Semiconductors Rb2SbAuX6 (X = Br, Cl) via DFT Study
Hongjie Li, Aparna Dixit, Anjali Kumari, et al.
Journal of Inorganic and Organometallic Polymers and Materials (2025)
Closed Access
Performance Assessment of Catalyst Materials for CO2 Hydrogenation to Methanol Using Explainable Machine Learning
Beyza Yılmaz, Hasan Ceylan, Gizem Yaz, et al.
Energy & Fuels (2025)
Open Access
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: 8
Charge Carrier Dynamics at the Interface of 2D Metal–Organic Frameworks and Hybrid Perovskites for Solar Energy Harvesting
Robert V. Stanton, Dhara J. Trivedi
Nano Letters (2023) Vol. 23, Iss. 24, pp. 11932-11939
Closed Access | Times Cited: 7
Accelerated exploration of efficient ternary solar cells with PTB7:PC71BM:SMPV1 using machine-learning methods
Chaorong Guo, Zhennan Li, Kuo Wang, et al.
Physical Chemistry Chemical Physics (2022) Vol. 24, Iss. 37, pp. 22538-22545
Closed Access | Times Cited: 12
Auxiliary guidance manufacture and revealing potential mechanism of perovskite solar cell using machine learning
Quan Zhang, Jianqi Wang, Guohua Liu
Journal of Energy Chemistry (2023) Vol. 86, pp. 146-157
Closed Access | Times Cited: 7
Water-induced dimensionality conversion from 3D perovskites to microwires and 2D hybrid halide perovskites
André L. M. Freitas, J. A. Souza
Journal of Materials Chemistry C (2023) Vol. 11, Iss. 20, pp. 6651-6661
Closed Access | Times Cited: 5
Bandgap Prediction of Hybrid Organic–Inorganic Perovskite Solar Cell Using Machine Learning
Debmalya Sadhu, Debasis De, Devansh Dattatreya, et al.
Journal of The Institution of Engineers (India) Series D (2023) Vol. 105, Iss. 2, pp. 795-801
Closed Access | Times Cited: 5
Machine‐Learning Accelerating the Development of Perovskite Photovoltaics
Tiantian Liu, Sen Wang, Yinguang Shi, et al.
Solar RRL (2023) Vol. 7, Iss. 23
Closed Access | Times Cited: 4
Predictive Modeling and SHAP (SHapley Additive ExPlanations) Analysis for Enhancing Natural Dye‐Sensitized Solar Cell Performance
Burcu Oral, Hisham A. Maddah, Ramazan Yıldırım
Solar RRL (2024)
Open Access | Times Cited: 1
Probing Strain-Induced Effects on Performance of Low-Dimensional Hybrid Perovskites for Solar Energy Harvesting
Robert V. Stanton, Sanjeev K. Gupta, Dhara J. Trivedi
ACS Applied Materials & Interfaces (2022) Vol. 14, Iss. 30, pp. 34603-34611
Closed Access | Times Cited: 6
Two-Dimensional Double Perovskites in the Dion–Jacobson Phase Alleviate Parity Forbidden Transitions for Photovoltaic Applications
Robert V. Stanton, Dhara J. Trivedi
ACS Applied Energy Materials (2024)
Closed Access
Temporal Decoupling-Based Machine Learning Framework for Precise Efficiency Prediction in Perovskite Solar Cells
Xunyong Yang, Yuqian Yang, Huimin Meng, et al.
The Journal of Physical Chemistry C (2024)
Closed Access
Photovoltaic Efficiency Optimization of Electrodeposited MAPbI3 Perovskite: Impact of Ammonium Valeric Acid Iodide Additive
Romain Lavoipierre, Émilie Planès, Lionel Flandin, et al.
Chemistry of Materials (2024) Vol. 36, Iss. 21, pp. 10680-10698
Closed Access
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