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:
Data-Driven Strategies for Accelerated Materials Design
Robert Pollice, Gabriel dos Passos Gomes, Matteo Aldeghi, et al.
Accounts of Chemical Research (2021) Vol. 54, Iss. 4, pp. 849-860
Open Access | Times Cited: 330
Robert Pollice, Gabriel dos Passos Gomes, Matteo Aldeghi, et al.
Accounts of Chemical Research (2021) Vol. 54, Iss. 4, pp. 849-860
Open Access | Times Cited: 330
Showing 1-25 of 330 citing articles:
Artificial intelligence: A powerful paradigm for scientific research
Yongjun Xu, Xin Liu, Xin Cao, et al.
The Innovation (2021) Vol. 2, Iss. 4, pp. 100179-100179
Open Access | Times Cited: 967
Yongjun Xu, Xin Liu, Xin Cao, et al.
The Innovation (2021) Vol. 2, Iss. 4, pp. 100179-100179
Open Access | Times Cited: 967
Dye-sensitized solar cells strike back
Ana B. Muñoz‐García, Iacopo Benesperi, Gerrit Boschloo, et al.
Chemical Society Reviews (2021) Vol. 50, Iss. 22, pp. 12450-12550
Open Access | Times Cited: 404
Ana B. Muñoz‐García, Iacopo Benesperi, Gerrit Boschloo, et al.
Chemical Society Reviews (2021) Vol. 50, Iss. 22, pp. 12450-12550
Open Access | Times Cited: 404
Artificial Intelligence Applied to Battery Research: Hype or Reality?
Teo Lombardo, Marc Duquesnoy, Hassna El-Bouysidy, et al.
Chemical Reviews (2021) Vol. 122, Iss. 12, pp. 10899-10969
Open Access | Times Cited: 309
Teo Lombardo, Marc Duquesnoy, Hassna El-Bouysidy, et al.
Chemical Reviews (2021) Vol. 122, Iss. 12, pp. 10899-10969
Open Access | Times Cited: 309
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: 266
Milad Abolhasani, Eugenia Kumacheva
Nature Synthesis (2023) Vol. 2, Iss. 6, pp. 483-492
Open Access | Times Cited: 266
SELFIES and the future of molecular string representations
Mario Krenn, Qianxiang Ai, Senja Barthel, et al.
Patterns (2022) Vol. 3, Iss. 10, pp. 100588-100588
Open Access | Times Cited: 158
Mario Krenn, Qianxiang Ai, Senja Barthel, et al.
Patterns (2022) Vol. 3, Iss. 10, pp. 100588-100588
Open Access | Times Cited: 158
Applying Machine Learning to Rechargeable Batteries: From the Microscale to the Macroscale
Xiang Chen, Xinyan Liu, Xin Shen, et al.
Angewandte Chemie International Edition (2021) Vol. 60, Iss. 46, pp. 24354-24366
Closed Access | Times Cited: 127
Xiang Chen, Xinyan Liu, Xin Shen, et al.
Angewandte Chemie International Edition (2021) Vol. 60, Iss. 46, pp. 24354-24366
Closed Access | Times Cited: 127
Machine-Learning-Guided Discovery of 19F MRI Agents Enabled by Automated Copolymer Synthesis
Marcus H. Reis, Filipp Gusev, Nicholas G. Taylor, et al.
Journal of the American Chemical Society (2021) Vol. 143, Iss. 42, pp. 17677-17689
Closed Access | Times Cited: 110
Marcus H. Reis, Filipp Gusev, Nicholas G. Taylor, et al.
Journal of the American Chemical Society (2021) Vol. 143, Iss. 42, pp. 17677-17689
Closed Access | Times Cited: 110
Emerging Strategies for CO2 Photoreduction to CH4: From Experimental to Data‐Driven Design
Shuwen Cheng, Zhehao Sun, Kang Hui Lim, et al.
Advanced Energy Materials (2022) Vol. 12, Iss. 20
Closed Access | Times Cited: 100
Shuwen Cheng, Zhehao Sun, Kang Hui Lim, et al.
Advanced Energy Materials (2022) Vol. 12, Iss. 20
Closed Access | Times Cited: 100
Extending machine learning beyond interatomic potentials for predicting molecular properties
Nikita Fedik, R.I. Zubatyuk, Maksim Kulichenko, et al.
Nature Reviews Chemistry (2022) Vol. 6, Iss. 9, pp. 653-672
Closed Access | Times Cited: 94
Nikita Fedik, R.I. Zubatyuk, Maksim Kulichenko, et al.
Nature Reviews Chemistry (2022) Vol. 6, Iss. 9, pp. 653-672
Closed Access | Times Cited: 94
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: 92
Jiayu Peng, Daniel Schwalbe‐Koda, Karthik Akkiraju, et al.
Nature Reviews Materials (2022) Vol. 7, Iss. 12, pp. 991-1009
Closed Access | Times Cited: 92
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: 85
Tyler B. Martin, Debra J. Audus
ACS Polymers Au (2023) Vol. 3, Iss. 3, pp. 239-258
Open Access | Times Cited: 85
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: 73
Zhonghui Shen, Hanxing Liu, Yang Shen, et al.
Interdisciplinary materials (2022) Vol. 1, Iss. 2, pp. 175-195
Open Access | Times Cited: 73
Scope of machine learning in materials research—A review
Md Hosne Mobarak, Mariam Akter Mimona, Md Aminul Islam, et al.
Applied Surface Science Advances (2023) Vol. 18, pp. 100523-100523
Open Access | Times Cited: 67
Md Hosne Mobarak, Mariam Akter Mimona, Md Aminul Islam, et al.
Applied Surface Science Advances (2023) Vol. 18, pp. 100523-100523
Open Access | Times Cited: 67
Accelerated chemical science with AI
Seoin Back, Alán Aspuru-Guzik, Michele Ceriotti, et al.
Digital Discovery (2023) Vol. 3, Iss. 1, pp. 23-33
Open Access | Times Cited: 46
Seoin Back, Alán Aspuru-Guzik, Michele Ceriotti, et al.
Digital Discovery (2023) Vol. 3, Iss. 1, pp. 23-33
Open Access | Times Cited: 46
Structure-aware graph neural network based deep transfer learning framework for enhanced predictive analytics on diverse materials datasets
Vishu Gupta, Kamal Choudhary, Brian DeCost, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 26
Vishu Gupta, Kamal Choudhary, Brian DeCost, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 26
Chemistries and materials for atmospheric water harvesting
Chuxin Lei, Weixin Guan, Yaxuan Zhao, et al.
Chemical Society Reviews (2024) Vol. 53, Iss. 14, pp. 7328-7362
Closed Access | Times Cited: 26
Chuxin Lei, Weixin Guan, Yaxuan Zhao, et al.
Chemical Society Reviews (2024) Vol. 53, Iss. 14, pp. 7328-7362
Closed Access | Times Cited: 26
ChatGPT in the Material Design: Selected Case Studies to Assess the Potential of ChatGPT
Jyotirmoy Deb, Lakshi Saikia, Kripa Dristi Dihingia, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 799-811
Closed Access | Times Cited: 19
Jyotirmoy Deb, Lakshi Saikia, Kripa Dristi Dihingia, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 799-811
Closed Access | Times Cited: 19
Extrapolative prediction of small-data molecular property using quantum mechanics-assisted machine learning
Hajime Shimakawa, Akiko Kumada, Masahiro Sato
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 18
Hajime Shimakawa, Akiko Kumada, Masahiro Sato
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 18
Predicting the crack repair rate of self-healing concrete using soft-computing tools
Yuanfeng Lou, Huiling Wang, Muhammad Nasir Amin, et al.
Materials Today Communications (2024) Vol. 38, pp. 108043-108043
Closed Access | Times Cited: 17
Yuanfeng Lou, Huiling Wang, Muhammad Nasir Amin, et al.
Materials Today Communications (2024) Vol. 38, pp. 108043-108043
Closed Access | Times Cited: 17
Data Generation for Machine Learning Interatomic Potentials and Beyond
Maksim Kulichenko, Benjamin Nebgen, Nicholas Lubbers, et al.
Chemical Reviews (2024) Vol. 124, Iss. 24, pp. 13681-13714
Closed Access | Times Cited: 17
Maksim Kulichenko, Benjamin Nebgen, Nicholas Lubbers, et al.
Chemical Reviews (2024) Vol. 124, Iss. 24, pp. 13681-13714
Closed Access | Times Cited: 17
Quantum-computing-enhanced algorithm unveils potential KRAS inhibitors
Mohammad Ghazi Vakili, Christoph Gorgulla, Jamie Snider, et al.
Nature Biotechnology (2025)
Open Access | Times Cited: 3
Mohammad Ghazi Vakili, Christoph Gorgulla, Jamie Snider, et al.
Nature Biotechnology (2025)
Open Access | Times Cited: 3
MOSAEC-DB: a comprehensive database of experimental metal–organic frameworks with verified chemical accuracy suitable for molecular simulations
Marco Gibaldi, Anna Kapeliukha, Andrew J. P. White, et al.
Chemical Science (2025)
Open Access | Times Cited: 3
Marco Gibaldi, Anna Kapeliukha, Andrew J. P. White, et al.
Chemical Science (2025)
Open Access | Times Cited: 3
Computational understanding and multiscale simulation of secondary batteries
Yan Yuan, Bin Wang, Jinhao Zhang, et al.
Energy storage materials (2025), pp. 104009-104009
Closed Access | Times Cited: 2
Yan Yuan, Bin Wang, Jinhao Zhang, et al.
Energy storage materials (2025), pp. 104009-104009
Closed Access | Times Cited: 2
Neural Ordinary Differential Equations for Forecasting and Accelerating Photon Correlation Spectroscopy
Andrew H. Proppe, Kin Long Kelvin Lee, Weiwei Sun, et al.
The Journal of Physical Chemistry Letters (2025), pp. 518-524
Closed Access | Times Cited: 2
Andrew H. Proppe, Kin Long Kelvin Lee, Weiwei Sun, et al.
The Journal of Physical Chemistry Letters (2025), pp. 518-524
Closed Access | Times Cited: 2
Application of machine learning in adsorption energy storage using metal organic frameworks: A review
Nokubonga P. Makhanya, Michael Kumi, Charles Mbohwa, et al.
Journal of Energy Storage (2025) Vol. 111, pp. 115363-115363
Closed Access | Times Cited: 2
Nokubonga P. Makhanya, Michael Kumi, Charles Mbohwa, et al.
Journal of Energy Storage (2025) Vol. 111, pp. 115363-115363
Closed Access | Times Cited: 2
