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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:

A self-driving laboratory advances the Pareto front for material properties
Benjamin P. MacLeod, Fraser G. L. Parlane, Connor C. Rupnow, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 118

Showing 1-25 of 118 citing articles:

Generative Models as an Emerging Paradigm in the Chemical Sciences
Dylan M. Anstine, Olexandr Isayev
Journal of the American Chemical Society (2023) Vol. 145, Iss. 16, pp. 8736-8750
Open Access | Times Cited: 160
Autonomous Chemical Experiments: Challenges and Perspectives on Establishing a Self-Driving Lab
Martin Seifrid, Robert Pollice, Andrés Aguilar-Gránda, et al.
Accounts of Chemical Research (2022) Vol. 55, Iss. 17, pp. 2454-2466
Open Access | Times Cited: 147
Bayesian Optimization of Computer-Proposed Multistep Synthetic Routes on an Automated Robotic Flow Platform
Anirudh M. K. Nambiar, C. Breen, Travis Hart, et al.
ACS Central Science (2022) Vol. 8, Iss. 6, pp. 825-836
Open Access | Times Cited: 117
Autonomous optimization of non-aqueous Li-ion battery electrolytes via robotic experimentation and machine learning coupling
Adarsh Dave, Jared Mitchell, Sven Burke, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 93
Human- and machine-centred designs of molecules and materials for sustainability and decarbonization
Jiayu Peng, Daniel Schwalbe‐Koda, Karthik Akkiraju, et al.
Nature Reviews Materials (2022) Vol. 7, Iss. 12, pp. 991-1009
Closed Access | Times Cited: 89
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: 86
Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics
Kedar Hippalgaonkar, Qianxiao Li, Xiaonan Wang, et al.
Nature Reviews Materials (2023) Vol. 8, Iss. 4, pp. 241-260
Closed Access | Times Cited: 85
AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning
Amanda A. Volk, Robert W. Epps, Daniel T. Yonemoto, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 84
Emerging Trends in Machine Learning: A Polymer Perspective
Tyler B. Martin, Debra J. Audus
ACS Polymers Au (2023) Vol. 3, Iss. 3, pp. 239-258
Open Access | Times Cited: 82
Polymer Photoelectrodes for Solar Fuel Production: Progress and Challenges
Madasamy Thangamuthu, Qiushi Ruan, Peter Osei Ohemeng, et al.
Chemical Reviews (2022) Vol. 122, Iss. 13, pp. 11778-11829
Open Access | Times Cited: 70
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
Perspectives for self-driving labs in synthetic biology
Héctor García Martín, Tijana Radivojević, Jeremy Zucker, et al.
Current Opinion in Biotechnology (2023) Vol. 79, pp. 102881-102881
Open Access | Times Cited: 43
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
Machine intelligence-accelerated discovery of all-natural plastic substitutes
Tianle Chen, Zhenqian Pang, Shuaiming He, et al.
Nature Nanotechnology (2024) Vol. 19, Iss. 6, pp. 782-791
Open Access | Times Cited: 30
Active learning of the thermodynamics-dynamics trade-off in protein condensates
Yaxin An, Michael Webb, William M. Jacobs
Science Advances (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 21
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
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
Optimizing Perovskite Thin‐Film Parameter Spaces with Machine Learning‐Guided Robotic Platform for High‐Performance Perovskite Solar Cells
Jiyun Zhang, Bowen Liu, Ziyi Liu, et al.
Advanced Energy Materials (2023) Vol. 13, Iss. 48
Open Access | Times Cited: 29
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: 25
Autonomous optimization of an organic solar cell in a 4-dimensional parameter space
Tobias Osterrieder, F. Schmitt, Larry Lüer, et al.
Energy & Environmental Science (2023) Vol. 16, Iss. 9, pp. 3984-3993
Open Access | Times Cited: 24
The future of self-driving laboratories: from human in the loop interactive AI to gamification
Holland Hysmith, Elham Foadian, Shakti P. Padhy, et al.
Digital Discovery (2024) Vol. 3, Iss. 4, pp. 621-636
Open Access | Times Cited: 13
Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” concept
Stanley Lo, Sterling G. Baird, Joshua Schrier, et al.
Digital Discovery (2024) Vol. 3, Iss. 5, pp. 842-868
Open Access | Times Cited: 12
Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs
Kai Yuan Andre Low, Flore Mekki‐Berrada, Abhishek Gupta, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 12
Machine intelligence accelerated design of conductive MXene aerogels with programmable properties
Snehi Shrestha, Kieran Barvenik, Tianle Chen, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 12
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