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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.

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Showing 1-25 of 282 citing articles:

High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery
Yonggang Yao, Qi Dong, Alexandra H. Brozena, et al.
Science (2022) Vol. 376, Iss. 6589
Closed Access | Times Cited: 543
High-Entropy Alloys as Catalysts for the CO2 and CO Reduction Reactions
Jack K. Pedersen, Thomas A. A. Batchelor, Alexander Bagger, et al.
ACS Catalysis (2020) Vol. 10, Iss. 3, pp. 2169-2176
Open Access | Times Cited: 343
The 2022 Plasma Roadmap: low temperature plasma science and technology
Igor Adamovich, Sumit Agarwal, Eduardo Ahedo, et al.
Journal of Physics D Applied Physics (2022) Vol. 55, Iss. 37, pp. 373001-373001
Open Access | Times Cited: 323
An autonomous laboratory for the accelerated synthesis of novel materials
Nathan J. Szymanski, Bernardus Rendy, Yuxing Fei, et al.
Nature (2023) Vol. 624, Iss. 7990, pp. 86-91
Open Access | Times Cited: 287
Rechargeable Batteries of the Future—The State of the Art from a BATTERY 2030+ Perspective
Maximilian Fichtner, Kristina Edström, Elixabete Ayerbe, et al.
Advanced Energy Materials (2021) Vol. 12, Iss. 17
Open Access | Times Cited: 238
Progress and prospects for accelerating materials science with automated and autonomous workflows
Helge S. Stein, John M. Gregoire
Chemical Science (2019) Vol. 10, Iss. 42, pp. 9640-9649
Open Access | Times Cited: 197
Explainable machine learning in materials science
Xiaoting Zhong, Brian Gallagher, Shusen Liu, et al.
npj Computational Materials (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 152
Machine-enabled inverse design of inorganic solid materials: promises and challenges
Juhwan Noh, Geun Ho Gu, Sungwon Kim, et al.
Chemical Science (2020) Vol. 11, Iss. 19, pp. 4871-4881
Open Access | Times Cited: 147
High-entropy materials for energy and electronic applications
Simon Schweidler, Miriam Botros, Florian Strauss, et al.
Nature Reviews Materials (2024) Vol. 9, Iss. 4, pp. 266-281
Closed Access | Times Cited: 144
Toward autonomous design and synthesis of novel inorganic materials
Nathan J. Szymanski, Yan Zeng, Haoyan Huo, et al.
Materials Horizons (2021) Vol. 8, Iss. 8, pp. 2169-2198
Open Access | Times Cited: 107
Bayesian Optimization of High‐Entropy Alloy Compositions for Electrocatalytic Oxygen Reduction**
Jack K. Pedersen, Christian M. Clausen, Olga A. Krysiak, et al.
Angewandte Chemie International Edition (2021) Vol. 60, Iss. 45, pp. 24144-24152
Open Access | Times Cited: 106
Machine-learning and high-throughput studies for high-entropy materials
E‐Wen Huang, Wen‐Jay Lee, Sudhanshu S. Singh, et al.
Materials Science and Engineering R Reports (2022) Vol. 147, pp. 100645-100645
Open Access | Times Cited: 91
Artificial intelligence to bring nanomedicine to life
Nikita Serov, Vladimir V. Vinogradov
Advanced Drug Delivery Reviews (2022) Vol. 184, pp. 114194-114194
Closed Access | Times Cited: 88
High-throughput printing of combinatorial materials from aerosols
Minxiang Zeng, Yipu Du, Qiang Jiang, et al.
Nature (2023) Vol. 617, Iss. 7960, pp. 292-298
Open Access | Times Cited: 81
Machine learning in nuclear materials research
Dane Morgan, Ghanshyam Pilania, Adrien Couet, et al.
Current Opinion in Solid State and Materials Science (2022) Vol. 26, Iss. 2, pp. 100975-100975
Open Access | Times Cited: 75
Recent experimental and theoretical advances in the design and science of high-entropy alloy nanoparticles
Wail Al Zoubi, Rosy Amalia Kurnia Putri, Mostafa R. Abukhadra, et al.
Nano Energy (2023) Vol. 110, pp. 108362-108362
Closed Access | Times Cited: 73
Combinatorial synthesis for AI-driven materials discovery
John M. Gregoire, Lan Zhou, Joel A. Haber
Nature Synthesis (2023) Vol. 2, Iss. 6, pp. 493-504
Closed Access | Times Cited: 52
Prediction of ambient pressure conventional superconductivity above 80 K in hydride compounds
Antonio Sanna, Tiago F. T. Cerqueira, Yue‐Wen Fang, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 34
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
Accelerating materials discovery: combinatorial synthesis, high-throughput characterization, and computational advances
Khurram Shahzad, Andrei Ionut Mardare, Achim Walter Hassel
Science and Technology of Advanced Materials Methods (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 15
Symplectic Contact Analysis of a Finite-sized Horizontally Graded Magneto-electro-elastic Plane
Lizichen Chen, Weiqiu Chen
SSRN Electronic Journal (2025)
Closed Access | Times Cited: 2
Symplectic contact analysis of a finite-sized horizontally graded magneto-electro-elastic plane
Lizichen Chen, Weiqiu Chen
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2025) Vol. 481, Iss. 2306
Closed Access | Times Cited: 2
Low‐Iridium‐Content IrNiTa Metallic Glass Films as Intrinsically Active Catalysts for Hydrogen Evolution Reaction
Zi‐Jian Wang, Mingxing Li, Jihao Yu, et al.
Advanced Materials (2019) Vol. 32, Iss. 4
Closed Access | Times Cited: 113
Nano High‐Entropy Materials: Synthesis Strategies and Catalytic Applications
Huining Li, Han Zhu, Songge Zhang, et al.
Small Structures (2020) Vol. 1, Iss. 2
Closed Access | Times Cited: 100
Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach
Yuta Suzuki, Hideitsu Hino, Takafumi Hawai, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 94
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