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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:

Machine‐Learning Modeling for Ultra‐Stable High‐Efficiency Perovskite Solar Cells
Yingjie Hu, Xiaobing Hu, Lu Zhang, et al.
Advanced Energy Materials (2022) Vol. 12, Iss. 41
Closed Access | Times Cited: 41

Showing 1-25 of 41 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
24.64%‐Efficiency MA‐Free Perovskite Solar Cell with Voc of 1.19 V Enabled by a Hinge‐Type Fluorine‐Rich Complex
Zhijun Li, Meizi Wu, Lu Yang, et al.
Advanced Functional Materials (2023) Vol. 33, Iss. 11
Closed Access | Times Cited: 45
Ion Migration in Lead-Halide Perovskites: Cation Matters
K. Niu, Chenyang Wang, Jiejun Zeng, et al.
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 4, pp. 1006-1018
Closed Access | Times Cited: 16
Predicting power conversion efficiency of binary organic solar cells based on Y6 acceptor by machine learning
Qiming Zhao, Yuqing Shan, Chongchen Xiang, et al.
Journal of Energy Chemistry (2023) Vol. 82, pp. 139-147
Closed Access | Times Cited: 27
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
Machine Learning Enhanced High‐Throughput Fabrication and Optimization of Quasi‐2D Ruddlesden–Popper Perovskite Solar Cells
Nastaran Meftahi, Maciej Adam Surmiak, ‪Sebastian O. Fürer, et al.
Advanced Energy Materials (2023) Vol. 13, Iss. 38
Open Access | Times Cited: 22
Simultaneous Ultraviolet Conversion and Defect Passivation Stabilize Efficient and Operational Durable Perovskite Solar Cells
Wenqiang Luo, Haoxin Wen, Yixuan Guo, et al.
Advanced Functional Materials (2024) Vol. 34, Iss. 33
Closed Access | Times Cited: 12
Machine Learning for Screening Small Molecules as Passivation Materials for Enhanced Perovskite Solar Cells
Xin Zhang, Bin Ding, Yao Wang, et al.
Advanced Functional Materials (2024) Vol. 34, Iss. 30
Closed Access | Times Cited: 9
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 in energy chemistry: introduction, challenges and perspectives
Yuzhi Xu, Jiankai Ge, Cheng‐Wei Ju
Energy Advances (2023) Vol. 2, Iss. 7, pp. 896-921
Open Access | Times Cited: 15
Perovskites informatics: Studying the impact of thicknesses, doping, and defects on the perovskite solar cell efficiency using a machine learning algorithm
Zahraa Ismail, Eman F. Sawires, Fathy Z. Amer, et al.
International Journal of Numerical Modelling Electronic Networks Devices and Fields (2023) Vol. 37, Iss. 2
Closed Access | Times Cited: 15
Understanding Microstructural Development of Perovskite Crystallization for High Performance Solar Cells
Yabin Ma, Xinyi Du, Ran Chen, et al.
Advanced Materials (2023) Vol. 35, Iss. 49
Closed Access | Times Cited: 15
Data-driven strategy for bandgap database construction of perovskites and the potential segregation study
Bobin Wu, Xinyu Zhang, Zixuan Wang, et al.
Journal of Materials Informatics (2024) Vol. 4, Iss. 2
Open Access | Times Cited: 5
Machine Learning-Assisted Prediction and Control of Bandgap for Organic–Inorganic Metal Halide Perovskites
Fuchun Gou, Zhu Ma, Qiang Yang, et al.
ACS Applied Materials & Interfaces (2025)
Closed Access
Machine learning for fast development of advanced energy materials
Bita Farhadi, Jiaxue You, Dexu Zheng, et al.
Next Materials (2023) Vol. 1, Iss. 3, pp. 100025-100025
Open Access | Times Cited: 10
Machine Learning Accelerated Study of Defect Energy Levels in Perovskites
Xiaoyu Wu, Haiyuan Chen, Jianwei Wang, et al.
The Journal of Physical Chemistry C (2023) Vol. 127, Iss. 23, pp. 11387-11395
Closed Access | Times Cited: 9
Scale-up Solutions of 2D Perovskite Photovoltaics: Insights of Multiscale Structures
Junke Jiang, Jiaxue You, Shengzhong Liu, et al.
ACS Energy Letters (2023) Vol. 9, Iss. 1, pp. 17-29
Closed Access | Times Cited: 8
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
Machine learning facilitated by microscopic features for discovery of novel magnetic double perovskites
Shuping Guo, Ryan Morrow, Jeroen van den Brink, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 10, pp. 6103-6111
Open Access | Times Cited: 2
Characterizing steel corrosional features in atomic force microscopy: A Sobel edge detection approach
Samuel Bowman, John Barton, Shikha Sharma
Materials Today Communications (2024) Vol. 38, pp. 108424-108424
Closed Access | Times Cited: 2
Accelerating the Development of Thin Film Photovoltaic Technologies: An Artificial Intelligence Assisted Methodology Using Spectroscopic and Optoelectronic Techniques
Enric Grau‐Luque, Ignacio Becerril‐Romero, Fabien Atlan, et al.
Small Methods (2024)
Open Access | Times Cited: 2
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
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: 2
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