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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:

How machine learning can help select capping layers to suppress perovskite degradation
Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 127

Showing 1-25 of 127 citing articles:

Passivation and process engineering approaches of halide perovskite films for high efficiency and stability perovskite solar cells
Abd. Rashid bin Mohd Yusoff, Maria Vasilopoulou, Dimitra G. Georgiadou, et al.
Energy & Environmental Science (2021) Vol. 14, Iss. 5, pp. 2906-2953
Open Access | Times Cited: 252
Machine learning for a sustainable energy future
Zhenpeng Yao, Yanwei Lum, Andrew Johnston, et al.
Nature Reviews Materials (2022) Vol. 8, Iss. 3, pp. 202-215
Open Access | Times Cited: 218
A machine learning-based alloy design system to facilitate the rational design of high entropy alloys with enhanced hardness
Yang Chen, Chang Ren, Yuefei Jia, et al.
Acta Materialia (2021) Vol. 222, pp. 117431-117431
Closed Access | Times Cited: 192
Tailoring passivators for highly efficient and stable perovskite solar cells
Hong Zhang, Lukas Pfeifer, Shaik M. Zakeeruddin, et al.
Nature Reviews Chemistry (2023) Vol. 7, Iss. 9, pp. 632-652
Closed Access | Times Cited: 191
Interpretable and Explainable Machine Learning for Materials Science and Chemistry
Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi, et al.
Accounts of Materials Research (2022) Vol. 3, Iss. 6, pp. 597-607
Open Access | Times Cited: 152
Discovery of temperature-induced stability reversal in perovskites using high-throughput robotic learning
Yicheng Zhao, Jiyun Zhang, Zhengwei Xu, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 129
Employing 2D‐Perovskite as an Electron Blocking Layer in Highly Efficient (18.5%) Perovskite Solar Cells with Printable Low Temperature Carbon Electrode
Salma Zouhair, So‐Min Yoo, Dmitry Bogachuk, et al.
Advanced Energy Materials (2022) Vol. 12, Iss. 21
Open Access | Times Cited: 99
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
Machine-Learning-Assisted Screening of Interface Passivation Materials for Perovskite Solar Cells
Chongyang Zhi, Suo Wang, Shijing Sun, et al.
ACS Energy Letters (2023) Vol. 8, Iss. 3, pp. 1424-1433
Closed Access | Times Cited: 46
AI methods in materials design, discovery and manufacturing: A review
Ioannis Papadimitriou, Ilias Gialampoukidis, Stefanos Vrochidis, et al.
Computational Materials Science (2024) Vol. 235, pp. 112793-112793
Closed Access | Times Cited: 29
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
Self‐Driven Multistep Quantum Dot Synthesis Enabled by Autonomous Robotic Experimentation in Flow
Kameel Abdel‐Latif, Robert W. Epps, Fazel Bateni, et al.
Advanced Intelligent Systems (2020) Vol. 3, Iss. 2
Open Access | Times Cited: 81
Low‐Temperature‐Processed Stable Perovskite Solar Cells and Modules: A Comprehensive Review
Sathy Harshavardhan Reddy, Francesco Di Giacomo, Aldo Di Carlo
Advanced Energy Materials (2022) Vol. 12, Iss. 13
Closed Access | Times Cited: 62
Water-Accelerated Photooxidation of CH3NH3PbI3 Perovskite
Timothy D. Siegler, Wiley A. Dunlap-Shohl, Yuhuan Meng, et al.
Journal of the American Chemical Society (2022) Vol. 144, Iss. 12, pp. 5552-5561
Closed Access | Times Cited: 61
Strategies for high‐performance perovskite solar cells from materials, film engineering to carrier dynamics and photon management
Huilin Li, Chong Chen, Hangyu Hu, et al.
InfoMat (2022) Vol. 4, Iss. 7
Open Access | Times Cited: 45
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
Hydrogen bonding in perovskite solar cells
Liangyou Lin, Timothy W. Jones, Terry Chien‐Jen Yang, et al.
Matter (2023) Vol. 7, Iss. 1, pp. 38-58
Open Access | Times Cited: 29
Issues, Challenges, and Future Perspectives of Perovskites for Energy Conversion Applications
Boucar Diouf, Aarti Muley, Ramchandra Pode
Energies (2023) Vol. 16, Iss. 18, pp. 6498-6498
Open Access | Times Cited: 27
Machine learning as a characterization method for analysis and design of perovskite solar cells
Yiming Liu, Xinyu Tan, Peng Xiang, et al.
Materials Today Physics (2024) Vol. 42, pp. 101359-101359
Closed Access | Times Cited: 9
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
Explainable Machine Learning based approach for the design of new refractory high entropy alloys
Saswati Swateelagna, Manish Kumar Singh, M.R. Rahul
Intermetallics (2024) Vol. 167, pp. 108198-108198
Closed Access | Times Cited: 8
Unveiling the Potential of Two‐Terminal Perovskite/Organic Tandem Solar Cells: Mechanisms, Status, and Challenges
Mengqi Han, Ruimin Zhou, Chen Ge, et al.
Advanced Materials (2024) Vol. 36, Iss. 26
Closed Access | Times Cited: 8
Machine Learning Guided Dopant Selection for Metal Oxide‐Based Photoelectrochemical Water Splitting: The Case Study of Fe2O3and CuO
Zhiliang Wang, Yuang Gu, Lingxia Zheng, et al.
Advanced Materials (2021) Vol. 34, Iss. 10
Closed Access | Times Cited: 47
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