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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:

Two-step machine learning enables optimized nanoparticle synthesis
Flore Mekki‐Berrada, Zekun Ren, Tan Huang, et al.
npj Computational Materials (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 133

Showing 1-25 of 133 citing articles:

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: 295
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
Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains
Qiaohao Liang, Aldair E. Gongora, Zekun Ren, et al.
npj Computational Materials (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 121
Machine learning with knowledge constraints for process optimization of open-air perovskite solar cell manufacturing
Zhe Liu, Nicholas Rolston, Austin C. Flick, et al.
Joule (2022) Vol. 6, Iss. 4, pp. 834-849
Open Access | Times Cited: 115
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: 113
Nanochemistry advancing photon conversion in rare-earth nanostructures for theranostics
Ruichan Lv, Micah Raab, Yanxing Wang, et al.
Coordination Chemistry Reviews (2022) Vol. 460, pp. 214486-214486
Closed Access | Times Cited: 82
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: 81
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: 80
A review on microfluidic-assisted nanoparticle synthesis, and their applications using multiscale simulation methods
Abdulrahman Agha, Waqas Waheed, Ion Stiharu, et al.
Discover Nano (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 55
Machine learning for nanoplasmonics
Jean‐François Masson, John S. Biggins, Emilie Ringe
Nature Nanotechnology (2023) Vol. 18, Iss. 2, pp. 111-123
Closed Access | Times Cited: 54
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: 49
Synthesis, properties, applications, 3D printing and machine learning of graphene quantum dots in polymer nanocomposites
Vimukthi Dananjaya, Sathish Marimuthu, Chunhui Yang, et al.
Progress in Materials Science (2024) Vol. 144, pp. 101282-101282
Open 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: 43
Simulation-based approaches for drug delivery systems: Navigating advancements, opportunities, and challenges
Iman Salahshoori, Mahdi Golriz, Marcos A.L. Nobre, et al.
Journal of Molecular Liquids (2023) Vol. 395, pp. 123888-123888
Open Access | Times Cited: 42
AI for Nanomaterials Development in Clean Energy and Carbon Capture, Utilization and Storage (CCUS)
Honghao Chen, Yingzhe Zheng, Jiali Li, et al.
ACS Nano (2023) Vol. 17, Iss. 11, pp. 9763-9792
Closed Access | Times Cited: 38
Silicon nanoparticles: Comprehensive review on biogenic synthesis and applications in agriculture
Lovely Mahawar, Kesava Priyan Ramasamy, Mohammad Suhel, et al.
Environmental Research (2023) Vol. 232, pp. 116292-116292
Closed Access | Times Cited: 38
Active Learning-Based Guided Synthesis of Engineered Biochar for CO2 Capture
Xiangzhou Yuan, Manu Suvarna, Juin Yau Lim, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 15, pp. 6628-6636
Open Access | Times Cited: 13
Nanocrystal Assemblies: Current Advances and Open Problems
Carlos L. Bassani, Greg van Anders, Uri Banin, et al.
ACS Nano (2024) Vol. 18, Iss. 23, pp. 14791-14840
Closed Access | Times Cited: 13
Bridging Nanomanufacturing and Artificial Intelligence—A Comprehensive Review
Mutha Nandipati, Olukayode Fatoki, Salil Desai
Materials (2024) Vol. 17, Iss. 7, pp. 1621-1621
Open Access | Times Cited: 12
Self‐Driving Platform for Metal Nanoparticle Synthesis: Combining Microfluidics and Machine Learning
Huachen Tao, Tianyi Wu, Sina Kheiri, et al.
Advanced Functional Materials (2021) Vol. 31, Iss. 51
Open Access | Times Cited: 86
Application of machine learning for advanced material prediction and design
Cheuk Hei Chan, Mingzi Sun, Bolong Huang
EcoMat (2022) Vol. 4, Iss. 4
Open Access | Times Cited: 56
Strategic-level performance enhancement of a 660 MWe supercritical power plant and emissions reduction by AI approach
Waqar Muhammad Ashraf, Ghulam Moeen Uddin, Syed Muhammad Arafat, et al.
Energy Conversion and Management (2021) Vol. 250, pp. 114913-114913
Closed Access | Times Cited: 55
Intelligent control of nanoparticle synthesis on microfluidic chips with machine learning
Xueye Chen, Honglin Lv
NPG Asia Materials (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 46
Autonomous chemical science and engineering enabled by self-driving laboratories
Jeffrey A. Bennett, Milad Abolhasani
Current Opinion in Chemical Engineering (2022) Vol. 36, pp. 100831-100831
Open Access | Times Cited: 40
Electropolymerized Molecularly Imprinted Polymer Synthesis Guided by an Integrated Data-Driven Framework for Cortisol Detection
Grace Dykstra, Benjamin E. Reynolds, Riley Smith, et al.
ACS Applied Materials & Interfaces (2022) Vol. 14, Iss. 22, pp. 25972-25983
Closed Access | Times Cited: 38
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