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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:

Accelerating materials discovery using artificial intelligence, high performance computing and robotics
Edward O. Pyzer‐Knapp, Jed W. Pitera, Peter Staar, et al.
npj Computational Materials (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 205

Showing 1-25 of 205 citing articles:

Drawbacks of Artificial Intelligence and Their Potential Solutions in the Healthcare Sector
Bangul Khan, Hajira Fatima, Ayatullah Qureshi, et al.
Deleted Journal (2023) Vol. 1, Iss. 2, pp. 731-738
Open Access | Times Cited: 270
Deep Learning in Mechanical Metamaterials: From Prediction and Generation to Inverse Design
Xiaoyang Zheng, Xubo Zhang, Ta‐Te Chen, et al.
Advanced Materials (2023) Vol. 35, Iss. 45
Open Access | Times Cited: 115
Machine Learning-Guided Protein Engineering
Petr Kouba, Pavel Kohout, Faraneh Haddadi, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 13863-13895
Open Access | Times Cited: 88
Role of ChatGPT and Similar Generative Artificial Intelligence (AI) in Construction Industry
Nitin Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 57
Unleashing the Power of Artificial Intelligence in Materials Design
Silvia Badini, Stefano Regondi, Raffaele Pugliese
Materials (2023) Vol. 16, Iss. 17, pp. 5927-5927
Open Access | Times Cited: 50
Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0
Xing Quan Wang, Pengguang Chen, Cheuk Lun Chow, et al.
Matter (2023) Vol. 6, Iss. 6, pp. 1831-1859
Open Access | Times Cited: 49
Self-Driving Laboratory for Polymer Electronics
Aikaterini Vriza, Henry Chan, Jie Xu
Chemistry of Materials (2023) Vol. 35, Iss. 8, pp. 3046-3056
Closed Access | Times Cited: 47
In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science
Joshua Schrier, Alexander J. Norquist, Tonio Buonassisi, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 40, pp. 21699-21716
Open Access | Times Cited: 46
Challenges and strategies for commercialization and widespread practical applications of superhydrophobic surfaces
Lingxiao Li, Jinfei Wei, Junping Zhang, et al.
Science Advances (2023) Vol. 9, Iss. 42
Open Access | Times Cited: 45
Nature-Inspired Superhydrophobic Coating Materials: Drawing Inspiration from Nature for Enhanced Functionality
Subodh Barthwal, Surbhi Uniyal, Sumit Barthwal
Micromachines (2024) Vol. 15, Iss. 3, pp. 391-391
Open Access | Times Cited: 29
Embracing data science in catalysis research
Manu Suvarna, Javier Pérez‐Ramírez
Nature Catalysis (2024) Vol. 7, Iss. 6, pp. 624-635
Closed Access | Times Cited: 27
Recent advances in artificial intelligence boosting materials design for electrochemical energy storage
X.-B. Liu, Kexin Fan, Xinmeng Huang, et al.
Chemical Engineering Journal (2024) Vol. 490, pp. 151625-151625
Open Access | Times Cited: 26
Lead-free Cs2InAsX6 (X = Cl, Br) halide double perovskites: A DFT perspective on their potential for sustainable energy applications
Muhammad Zafarullah Kazim, Naveed Raza, Shatha A. Aldaghfag, et al.
Journal of Physics and Chemistry of Solids (2024) Vol. 189, pp. 111954-111954
Closed Access | Times Cited: 24
Human organoids-on-chips for biomedical research and applications
Hui Wang, Xiufan Ning, Feng Zhao, et al.
Theranostics (2024) Vol. 14, Iss. 2, pp. 788-818
Open Access | Times Cited: 23
Artificial intelligence capabilities for circular business models: Research synthesis and future agenda
Arun Madanaguli, David Sjödin, Vinit Parida, et al.
Technological Forecasting and Social Change (2024) Vol. 200, pp. 123189-123189
Open Access | Times Cited: 22
A dynamic knowledge graph approach to distributed self-driving laboratories
Jiaru Bai, Sebastian Mosbach, Connor J. Taylor, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 22
Toward an AI Era: Advances in Electronic Skins
Xuemei Fu, Wen Cheng, Guanxiang Wan, et al.
Chemical Reviews (2024) Vol. 124, Iss. 17, pp. 9899-9948
Closed Access | Times Cited: 20
Design and assembly of porous organic cages
Zezhao Xu, Yangzhi Ye, Yilan Liu, et al.
Chemical Communications (2024) Vol. 60, Iss. 17, pp. 2261-2282
Closed Access | Times Cited: 19
Unlocking the potential: machine learning applications in electrocatalyst design for electrochemical hydrogen energy transformation
Rui Ding, Junhong Chen, Yuxin Chen, et al.
Chemical Society Reviews (2024)
Open Access | Times Cited: 17
Carbon‐based Flame Retardants for Polymers: A Bottom‐up Review
Guan Heng Yeoh, Ivan Miguel De Cachinho Cordeiro, Wei Wang, et al.
Advanced Materials (2024)
Open Access | Times Cited: 16
Phase prediction and experimental realisation of a new high entropy alloy using machine learning
Swati Singh, Nirmal Kumar Katiyar, Saurav Goel, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 38
MatGPT: A Vane of Materials Informatics from Past, Present, to Future
Zhilong Wang, An Chen, Kehao Tao, et al.
Advanced Materials (2023) Vol. 36, Iss. 6
Closed Access | Times Cited: 30
Generative adversarial networks and diffusion models in material discovery
Michael Alverson, Sterling G. Baird, Ryan Murdock, et al.
Digital Discovery (2023) Vol. 3, Iss. 1, pp. 62-80
Open Access | Times Cited: 30
Equivariant Graph Neural Networks for Toxicity Prediction
Julian Cremer, Leonardo Medrano Sandonas, Alexandre Tkatchenko, et al.
Chemical Research in Toxicology (2023)
Open Access | Times Cited: 28
What is missing in autonomous discovery: open challenges for the community
Phillip M. Maffettone, Pascal Friederich, Sterling G. Baird, et al.
Digital Discovery (2023) Vol. 2, Iss. 6, pp. 1644-1659
Open Access | Times Cited: 27
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