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:

From predictive modelling to machine learning and reverse engineering of colloidal self-assembly
Marjolein Dijkstra, Erik Luijten
Nature Materials (2021) Vol. 20, Iss. 6, pp. 762-773
Closed Access | Times Cited: 125

Showing 1-25 of 125 citing articles:

Discovering and understanding materials through computation
Steven G. Louie, Yang‐Hao Chan, Felipe H. da Jornada, et al.
Nature Materials (2021) Vol. 20, Iss. 6, pp. 728-735
Closed Access | Times Cited: 111

Self-assembly of colloidal metal–organic framework (MOF) particles
Javier Fonseca, Lingxin Meng, Inhar Imaz, et al.
Chemical Society Reviews (2023) Vol. 52, Iss. 7, pp. 2528-2543
Open Access | Times Cited: 88

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

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: 71

Inverse design of a pyrochlore lattice of DNA origami through model-driven experiments
Hao Liu, Michael Matthies, John Russo, et al.
Science (2024) Vol. 384, Iss. 6697, pp. 776-781
Open Access | Times Cited: 31

Machine learning and materials informatics approaches in the analysis of physical properties of carbon nanotubes: A review
Luis Enrique Vivanco-Benavides, Claudia Lizbeth Martínez‐González, C. Mercado-Zúñiga, et al.
Computational Materials Science (2021) Vol. 201, pp. 110939-110939
Closed Access | Times Cited: 80

Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook
Marc Botifoll, Ivan Pinto‐Huguet, Jordi Arbiol
Nanoscale Horizons (2022) Vol. 7, Iss. 12, pp. 1427-1477
Open Access | Times Cited: 68

Upgrading carbonaceous materials: Coal, tar, pitch, and beyond
Xining Zang, Yuan Dong, Cuiying Jian, et al.
Matter (2022) Vol. 5, Iss. 2, pp. 430-447
Closed Access | Times Cited: 47

Structural Diversity in Dimension-Controlled Assemblies of Tetrahedral Gold Nanocrystals
Yi Wang, Jun Chen, Yaxu Zhong, et al.
Journal of the American Chemical Society (2022) Vol. 144, Iss. 30, pp. 13538-13546
Open Access | Times Cited: 47

Soft Patch Interface-Oriented Superassembly of Complex Hollow Nanoarchitectures for Smart Dual-Responsive Nanospacecrafts
Miao Yan, Tianyi Liu, Xiaofeng Li, et al.
Journal of the American Chemical Society (2022) Vol. 144, Iss. 17, pp. 7778-7789
Closed Access | Times Cited: 43

Reversible assembly of nanoparticles: theory, strategies and computational simulations
Denis Gentili, Guido Ori
Nanoscale (2022) Vol. 14, Iss. 39, pp. 14385-14432
Open Access | Times Cited: 43

Design, characterization and applications of nanocolloidal hydrogels
Sofia M. Morozova, Albert Gevorkian, Eugenia Kumacheva
Chemical Society Reviews (2023) Vol. 52, Iss. 15, pp. 5317-5339
Closed Access | Times Cited: 34

The entropy-controlled strategy in self-assembling systems
Xuanyu Zhang, Xiaobin Dai, Lijuan Gao, et al.
Chemical Society Reviews (2023) Vol. 52, Iss. 19, pp. 6806-6837
Closed Access | Times Cited: 34

Inspired Beyond Nature: Three Decades of Spherical Nucleic Acids and Colloidal Crystal Engineering with DNA
Chad A. Mirkin, Sarah Hurst Petrosko
ACS Nano (2023) Vol. 17, Iss. 17, pp. 16291-16307
Closed Access | Times Cited: 28

Neural functional theory for inhomogeneous fluids: Fundamentals and applications
Florian Sammüller, Sophie Hermann, Daniel de las Heras, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 50
Open Access | Times Cited: 27

Unsupervised Learning‐Guided Accelerated Discovery of Alkaline Anion Exchange Membranes for Fuel Cells
Xiuyang Zou, Guodong Xu, Pengda Fang, et al.
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 19
Closed Access | Times Cited: 23

Machine Learning in Soft Matter: From Simulations to Experiments
Kaihua Zhang, Xiangrui Gong, Ying Jiang
Advanced Functional Materials (2024) Vol. 34, Iss. 24
Closed Access | Times Cited: 9

Unsupervised identification of crystal defects from atomistic potential descriptors
Lukáš Kývala, Pablo Montero de Hijes, Christoph Dellago
npj Computational Materials (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 1

Assembly of Complex Colloidal Systems Using DNA
William M. Jacobs, W. Benjamin Rogers
Annual Review of Condensed Matter Physics (2025) Vol. 16, Iss. 1, pp. 443-463
Open Access | Times Cited: 1

Falsifiability Test for Classical Nucleation Theory
Camilla Beneduce, Diogo E. P. Pinto, Lorenzo Rovigatti, et al.
Physical Review Letters (2025) Vol. 134, Iss. 14
Closed Access | Times Cited: 1

Recent advances in utility of artificial intelligence towards multiscale colloidal based materials design
Aref Abbasi Moud
Colloids and Interface Science Communications (2022) Vol. 47, pp. 100595-100595
Open Access | Times Cited: 36

Lithium-ion battery thermal management via advanced cooling parameters: State-of-the-art review on application of machine learning with exergy, economic and environmental analysis
Seyed Masoud Parsa, Fatemeh Norozpour, Shahin Shoeibi, et al.
Journal of the Taiwan Institute of Chemical Engineers (2023) Vol. 148, pp. 104854-104854
Open Access | Times Cited: 22

Perspective: How to overcome dynamical density functional theory
Daniel de las Heras, Toni Zimmermann, Florian Sammüller, et al.
Journal of Physics Condensed Matter (2023) Vol. 35, Iss. 27, pp. 271501-271501
Open Access | Times Cited: 20

Colloidal Self‐Assembly: From Passive to Active Systems
Yaxin Huang, Changjin Wu, Jingyuan Chen, et al.
Angewandte Chemie International Edition (2023) Vol. 63, Iss. 9
Open Access | Times Cited: 20

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