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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:

Machine Learning for Materials Scientists: An Introductory Guide toward Best Practices
Anthony Wang, Ryan Murdock, Steven K. Kauwe, et al.
Chemistry of Materials (2020) Vol. 32, Iss. 12, pp. 4954-4965
Open Access | Times Cited: 344

Showing 1-25 of 344 citing articles:

Machine Learning: New Ideas and Tools in Environmental Science and Engineering
Shifa Zhong, Kai Zhang, Majid Bagheri, et al.
Environmental Science & Technology (2021)
Closed Access | Times Cited: 669
Recent advances and applications of deep learning methods in materials science
Kamal Choudhary, Brian DeCost, Chi Chen, et al.
npj Computational Materials (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 590
Best practices in machine learning for chemistry
Nongnuch Artrith, Keith T. Butler, François‐Xavier Coudert, et al.
Nature Chemistry (2021) Vol. 13, Iss. 6, pp. 505-508
Open Access | Times Cited: 360
The Role of Machine Learning in the Understanding and Design of Materials
Seyed Mohamad Moosavi, Kevin Maik Jablonka, Berend Smit
Journal of the American Chemical Society (2020) Vol. 142, Iss. 48, pp. 20273-20287
Open Access | Times Cited: 301
Autonomous experimentation systems for materials development: A community perspective
Eric A. Stach, Brian DeCost, A. Gilad Kusne, et al.
Matter (2021) Vol. 4, Iss. 9, pp. 2702-2726
Open Access | Times Cited: 253
Benchmarking graph neural networks for materials chemistry
Victor Fung, Jiaxin Zhang, Eric Juarez, et al.
npj Computational Materials (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 200
Machine learning in concrete science: applications, challenges, and best practices
Zhanzhao Li, Jinyoung Yoon, Rui Zhang, et al.
npj Computational Materials (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 186
Machine Learning Meets with Metal Organic Frameworks for Gas Storage and Separation
Çiğdem Altıntaş, Omer Faruk Altundal, Seda Keskın, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 5, pp. 2131-2146
Open Access | Times Cited: 171
Compositionally restricted attention-based network for materials property predictions
Anthony Wang, Steven K. Kauwe, Ryan Murdock, et al.
npj Computational Materials (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 162
Machine learning for advanced energy materials
Liu Yun, Oladapo Christopher Esan, Zhefei Pan, et al.
Energy and AI (2021) Vol. 3, pp. 100049-100049
Open Access | Times Cited: 151
Chemistry of Quantum Spin Liquids
Juan R. Chamorro, Tyrel M. McQueen, T. Thao Tran
Chemical Reviews (2020) Vol. 121, Iss. 5, pp. 2898-2934
Open Access | Times Cited: 141
A review of the recent progress in battery informatics
Chen Ling
npj Computational Materials (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 134
Taking the leap between analytical chemistry and artificial intelligence: A tutorial review
Lucas B. Ayres, Federico J.V. Gómez, Jeb R. Linton, et al.
Analytica Chimica Acta (2021) Vol. 1161, pp. 338403-338403
Closed Access | Times Cited: 126
Recent advances in computational modeling of MOFs: From molecular simulations to machine learning
Hakan Demir, Hilal Daglar, Hasan Can Gülbalkan, et al.
Coordination Chemistry Reviews (2023) Vol. 484, pp. 215112-215112
Open Access | Times Cited: 115
Understanding, discovery, and synthesis of 2D materials enabled by machine learning
Byunghoon Ryu, Luqing Wang, Hongting Pu, et al.
Chemical Society Reviews (2022) Vol. 51, Iss. 6, pp. 1899-1925
Open Access | Times Cited: 108
Data‐Driven Materials Innovation and Applications
Zhuo Wang, Zhehao Sun, Hang Yin, et al.
Advanced Materials (2022) Vol. 34, Iss. 36
Closed Access | Times Cited: 106
Review of computational approaches to predict the thermodynamic stability of inorganic solids
Christopher J. Bartel
Journal of Materials Science (2022) Vol. 57, Iss. 23, pp. 10475-10498
Open Access | Times Cited: 95
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
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
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: 84
Machine learning in energy storage materials
Zhonghui Shen, Hanxing Liu, Yang Shen, et al.
Interdisciplinary materials (2022) Vol. 1, Iss. 2, pp. 175-195
Open Access | Times Cited: 69
Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review
Hanxun Jin, Enrui Zhang, Horacio D. Espinosa
Applied Mechanics Reviews (2023) Vol. 75, Iss. 6
Open Access | Times Cited: 66
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: 61
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
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
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