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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:

Predictions and Strategies Learned from Machine Learning to Develop High‐Performing Perovskite Solar Cells
Jinxin Li, Basudev Pradhan, Surya Gaur, et al.
Advanced Energy Materials (2019) Vol. 9, Iss. 46
Closed Access | Times Cited: 152

Showing 1-25 of 152 citing articles:

Toward ideal hole transport materials: a review on recent progress in dopant-free hole transport materials for fabricating efficient and stable perovskite solar cells
Xinxing Yin, Zhaoning Song, Zaifang Li, et al.
Energy & Environmental Science (2020) Vol. 13, Iss. 11, pp. 4057-4086
Closed Access | Times Cited: 321
Machine learning for perovskite materials design and discovery
Qiuling Tao, Pengcheng Xu, Minjie Li, et al.
npj Computational Materials (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 309
Energetics Systems and artificial intelligence: Applications of industry 4.0
Tanveer Ahmad, Hongyu Zhu, Dongdong Zhang, et al.
Energy Reports (2021) Vol. 8, pp. 334-361
Open Access | Times Cited: 228
Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage
Daniel Rangel-Martínez, K.D.P. Nigam, Luis Ricardez‐Sandoval
Process Safety and Environmental Protection (2021) Vol. 174, pp. 414-441
Closed Access | Times Cited: 176
Recent Progress of Critical Interface Engineering for Highly Efficient and Stable Perovskite Solar Cells
Yahong Li, Haibing Xie, Eng Liang Lim, et al.
Advanced Energy Materials (2021) Vol. 12, Iss. 5
Closed Access | Times Cited: 152
Roadmap on organic–inorganic hybrid perovskite semiconductors and devices
Lukas Schmidt‐Mende, Vladimir Dyakonov, Selina Olthof, et al.
APL Materials (2021) Vol. 9, Iss. 10
Open Access | Times Cited: 140
Mitigating ion migration in perovskite solar cells
Enbing Bi, Zhaoning Song, Chongwen Li, et al.
Trends in Chemistry (2021) Vol. 3, Iss. 7, pp. 575-588
Open Access | Times Cited: 128
Stabilization of photoactive phases for perovskite photovoltaics
Xueping Liu, Deying Luo, Zheng‐Hong Lu, et al.
Nature Reviews Chemistry (2023) Vol. 7, Iss. 7, pp. 462-479
Closed Access | Times Cited: 113
Machine learning aided design of perovskite oxide materials for photocatalytic water splitting
Qiuling Tao, Tian Lu, Sheng Ye, et al.
Journal of Energy Chemistry (2021) Vol. 60, pp. 351-359
Closed Access | Times Cited: 105
Material machine learning for alloys: Applications, challenges and perspectives
Xiujuan Liu, Pengcheng Xu, Juanjuan Zhao, et al.
Journal of Alloys and Compounds (2022) Vol. 921, pp. 165984-165984
Closed Access | Times Cited: 88
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
Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives
Dimitrios Angelis, Filippos Sofos, Theodoros E. Karakasidis
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 6, pp. 3845-3865
Open Access | Times Cited: 75
Ion-induced field screening as a dominant factor in perovskite solar cell operational stability
Jarla Thiesbrummel, Sahil Shah, Emilio Gutierrez‐Partida, et al.
Nature Energy (2024) Vol. 9, Iss. 6, pp. 664-676
Open Access | Times Cited: 67
Scope of machine learning in materials research—A review
Md Hosne Mobarak, Mariam Akter Mimona, Md Aminul Islam, et al.
Applied Surface Science Advances (2023) Vol. 18, pp. 100523-100523
Open Access | Times Cited: 59
Recent Progress in Interfacial Dipole Engineering for Perovskite Solar Cells
Yinyi Ma, Jue Gong, Peng Zeng, et al.
Nano-Micro Letters (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 47
A bibliometric analysis of machine learning techniques in photovoltaic cells and solar energy (2014–2022)
Abdelhamid Zaïdi
Energy Reports (2024) Vol. 11, pp. 2768-2779
Open Access | Times Cited: 24
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
Critical review of machine learning applications in perovskite solar research
Beyza Yılmaz, Ramazan Yıldırım
Nano Energy (2020) Vol. 80, pp. 105546-105546
Closed Access | Times Cited: 97
Machine learning for halide perovskite materials
Lei Zhang, Mu He, Shaofeng Shao
Nano Energy (2020) Vol. 78, pp. 105380-105380
Closed Access | Times Cited: 92
Applications of machine learning in perovskite materials
Ziman Wang, Ming Yang, Xixi Xie, et al.
Advanced Composites and Hybrid Materials (2022) Vol. 5, Iss. 4, pp. 2700-2720
Closed Access | Times Cited: 68
Machine Learning Roadmap for Perovskite Photovoltaics
Meghna Srivastava, John M. Howard, Tao Gong, et al.
The Journal of Physical Chemistry Letters (2021) Vol. 12, Iss. 32, pp. 7866-7877
Closed Access | Times Cited: 66
Recent progress in perovskite solar cells: challenges from efficiency to stability
A.K. Mahapatra, Sandeep Kumar, Prashant Kumar, et al.
Materials Today Chemistry (2021) Vol. 23, pp. 100686-100686
Closed Access | Times Cited: 63
Bandgap tuning strategy by cations and halide ions of lead halide perovskites learned from machine learning
Yaoyao Li, Yao Lu, Xiaomin Huo, et al.
RSC Advances (2021) Vol. 11, Iss. 26, pp. 15688-15694
Open Access | Times Cited: 59
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
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