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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:

The rise of self-driving labs in chemical and materials sciences
Milad Abolhasani, Eugenia Kumacheva
Nature Synthesis (2023) Vol. 2, Iss. 6, pp. 483-492
Open Access | Times Cited: 235

Showing 1-25 of 235 citing articles:

A Review of Transition Metal Boride, Carbide, Pnictide, and Chalcogenide Water Oxidation Electrocatalysts
Kenta Kawashima, Raúl A. Márquez, Lettie A. Smith, et al.
Chemical Reviews (2023) Vol. 123, Iss. 23, pp. 12795-13208
Closed Access | Times Cited: 90
Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR
Alexander Tropsha, Olexandr Isayev, Alexandre Varnek, et al.
Nature Reviews Drug Discovery (2023) Vol. 23, Iss. 2, pp. 141-155
Closed Access | Times Cited: 77
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: 76
Disordered enthalpy–entropy descriptor for high-entropy ceramics discovery
Simon Divilov, Hagen Eckert, David Hicks, et al.
Nature (2024) Vol. 625, Iss. 7993, pp. 66-73
Open Access | Times Cited: 72
Self-driving laboratories to autonomously navigate the protein fitness landscape
Jacob Rapp, Bennett J. Bremer, Philip A. Romero
Nature Chemical Engineering (2024) Vol. 1, Iss. 1, pp. 97-107
Open Access | Times Cited: 47
Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back
Brent A. Koscher, Richard B. Canty, Matthew A. McDonald, et al.
Science (2023) Vol. 382, Iss. 6677
Open Access | Times Cited: 43
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: 39
Delocalized, asynchronous, closed-loop discovery of organic laser emitters
Felix Strieth‐Kalthoff, Han Hao, Vandana Rathore, et al.
Science (2024) Vol. 384, Iss. 6697
Closed Access | Times Cited: 20
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: 19
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: 18
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: 16
Navigating phase diagram complexity to guide robotic inorganic materials synthesis
Jiadong Chen, Samuel R. Cross, Lincoln J. Miara, et al.
Nature Synthesis (2024) Vol. 3, Iss. 5, pp. 606-614
Open Access | Times Cited: 15
An integrated high-throughput robotic platform and active learning approach for accelerated discovery of optimal electrolyte formulations
Juran Noh, Hieu A. Doan, Heather Job, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 14
A dynamic Bayesian optimized active recommender system for curiosity-driven partially Human-in-the-loop automated experiments
Arpan Biswas, Yongtao Liu, Nicole Creange, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 13
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: 13
Single Atom Catalysts Based on Earth-Abundant Metals for Energy-Related Applications
Štěpán Kment, Aristides Bakandritsos, Iosif Tantis, et al.
Chemical Reviews (2024) Vol. 124, Iss. 21, pp. 11767-11847
Open Access | Times Cited: 13
Integrating artificial intelligence in energy transition: A comprehensive review
Qiang Wang, Yuanfan Li, Rongrong Li
Energy Strategy Reviews (2025) Vol. 57, pp. 101600-101600
Open Access | Times Cited: 2
Large language models for chemistry robotics
Naruki Yoshikawa, Marta Skreta, Kourosh Darvish, et al.
Autonomous Robots (2023) Vol. 47, Iss. 8, pp. 1057-1086
Open Access | Times Cited: 29
2023 Roadmap on molecular modelling of electrochemical energy materials
Chao Zhang, Jun Cheng, Yiming Chen, et al.
Journal of Physics Energy (2023) Vol. 5, Iss. 4, pp. 041501-041501
Open Access | Times Cited: 22
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: 11
Artificial Intelligence (AI) for Sustainable Resource Management and Chemical Processes
Milad Kamkar, Kevin C. Leonard, Ivet Ferrer, et al.
ACS Sustainable Chemistry & Engineering (2024) Vol. 12, Iss. 8, pp. 2924-2926
Open Access | Times Cited: 11
Autonomous closed-loop mechanistic investigation of molecular electrochemistry via automation
Hongyuan Sheng, Jingwen Sun, Oliver Rodríguez, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 11
Autonomous reaction Pareto-front mapping with a self-driving catalysis laboratory
Jeffrey A. Bennett, Negin Orouji, Muhammad Babar Khan, et al.
Nature Chemical Engineering (2024) Vol. 1, Iss. 3, pp. 240-250
Open Access | Times Cited: 10
Degradable π-Conjugated Polymers
Azalea Uva, Sofia Michailovich, Nathan Sung Yuan Hsu, et al.
Journal of the American Chemical Society (2024) Vol. 146, Iss. 18, pp. 12271-12287
Closed Access | Times Cited: 10
Performance metrics to unleash the power of self-driving labs in chemistry and materials science
Amanda A. Volk, Milad Abolhasani
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9
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