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-Accelerated Perovskite Crystallization
Jeffrey Kirman, Andrew Johnston, D.A. Kuntz, et al.
Matter (2020) Vol. 2, Iss. 4, pp. 938-947
Open Access | Times Cited: 121

Showing 1-25 of 121 citing articles:

Low‐Dimensional Metal Halide Perovskite Photodetectors
Hsin‐Ping Wang, Siyuan Li, Xinya Liu, et al.
Advanced Materials (2020) Vol. 33, Iss. 7
Closed Access | Times Cited: 469

Nanoparticle synthesis assisted by machine learning
Huachen Tao, Tianyi Wu, Matteo Aldeghi, et al.
Nature Reviews Materials (2021) Vol. 6, Iss. 8, pp. 701-716
Closed Access | Times Cited: 315

Artificial Chemist: An Autonomous Quantum Dot Synthesis Bot
Robert W. Epps, Michael Bowen, Amanda A. Volk, et al.
Advanced Materials (2020) Vol. 32, Iss. 30
Closed Access | Times Cited: 257

Autonomous experimentation systems for materials development: A community perspective
Eric A. Stach, Brian DeCost, A. Gilad Kusne, et al.
Matter (2021) Vol. 4, Iss. 9, pp. 2702-2726
Open Access | Times Cited: 253

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: 222

Robot-Accelerated Perovskite Investigation and Discovery
Zhi Li, Mansoor Ani Najeeb, Liana Alves, et al.
Chemistry of Materials (2020) Vol. 32, Iss. 13, pp. 5650-5663
Open Access | Times Cited: 155

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

A data fusion approach to optimize compositional stability of halide perovskites
Shijing Sun, Armi Tiihonen, Felipe Oviedo, et al.
Matter (2021) Vol. 4, Iss. 4, pp. 1305-1322
Open Access | Times Cited: 125

Thermal evaporation and hybrid deposition of perovskite solar cells and mini-modules
Felix Utama Kosasih, Enkhtur Erdenebileg, Nripan Mathews, et al.
Joule (2022) Vol. 6, Iss. 12, pp. 2692-2734
Open Access | Times Cited: 70

Self-Driving Laboratories for Chemistry and Materials Science
Gary Tom, Stefan P. Schmid, Sterling G. Baird, et al.
Chemical Reviews (2024) Vol. 124, Iss. 16, pp. 9633-9732
Open Access | Times Cited: 33

Universal machine learning aided synthesis approach of two-dimensional perovskites in a typical laboratory
Yilei Wu, Changfeng Wang, Ming‐Gang Ju, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 21

Intelligent Microfluidics: The Convergence of Machine Learning and Microfluidics in Materials Science and Biomedicine
Edgar A. Galan, Haoran Zhao, Xukang Wang, et al.
Matter (2020) Vol. 3, Iss. 6, pp. 1893-1922
Open Access | Times Cited: 121

Interface Engineering Driven Stabilization of Halide Perovskites against Moisture, Heat, and Light for Optoelectronic Applications
Aditya Narayan Singh, Sandeep Kajal, Junu Kim, et al.
Advanced Energy Materials (2020) Vol. 10, Iss. 30
Closed Access | Times Cited: 98

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

High‐Entropy Energy Materials in the Age of Big Data: A Critical Guide to Next‐Generation Synthesis and Applications
Qingsong Wang, Leonardo Velasco, Ben Breitung, et al.
Advanced Energy Materials (2021) Vol. 11, Iss. 47
Open Access | Times Cited: 76

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: 68

Photocatalytic Conversion of Methane: Recent Advancements and Prospects
Qi Li, Yuxing Ouyang, Hongliang Li, et al.
Angewandte Chemie (2021) Vol. 134, Iss. 2
Closed Access | Times Cited: 67

Composition Engineering of Perovskite Single Crystals for High‐Performance Optoelectronics
Yunxia Zhang, Yucheng Liu, Shengzhong Liu
Advanced Functional Materials (2022) Vol. 33, Iss. 9
Closed Access | Times Cited: 56

Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation
Yunchao Xie, Kianoosh Sattari, Chi Zhang, et al.
Progress in Materials Science (2022) Vol. 132, pp. 101043-101043
Open Access | Times Cited: 54

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

Accelerating perovskite materials discovery and correlated energy applications through artificial intelligence
Jiechun Liang, Tingting Wu, Ziwei Wang, et al.
Energy Materials (2022) Vol. 2, Iss. 3, pp. 200016-200016
Open Access | Times Cited: 39

Photocatalytic Conversion of Methane: Current State of the Art, Challenges, and Future Perspectives
Zhuo Liu, Biyang Xu, Yujing Jiang, et al.
ACS Environmental Au (2023) Vol. 3, Iss. 5, pp. 252-276
Open Access | Times Cited: 36

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

Methods, progresses, and opportunities of materials informatics
Chen Li, Kun Zheng
InfoMat (2023) Vol. 5, Iss. 8
Open Access | Times Cited: 28

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