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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:

Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations
Xing Chen, Flavio Abreu Araujo, Mathieu Riou, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Generative artificial intelligence and its applications in materials science: Current situation and future perspectives
Yue Liu, Zhengwei Yang, Zhenyao Yu, et al.
Journal of Materiomics (2023) Vol. 9, Iss. 4, pp. 798-816
Open Access | Times Cited: 134
A perspective on physical reservoir computing with nanomagnetic devices
D. A. Allwood, Matthew O. A. Ellis, David Griffin, et al.
Applied Physics Letters (2023) Vol. 122, Iss. 4
Open Access | Times Cited: 43
Machine learning and artificial intelligence in physiologically based pharmacokinetic modeling
Wei-Chun Chou, Zhoumeng Lin
Toxicological Sciences (2022) Vol. 191, Iss. 1, pp. 1-14
Open Access | Times Cited: 60
Pattern recognition with neuromorphic computing using magnetic field–induced dynamics of skyrmions
Tomoyuki Yokouchi, Satoshi Sugimoto, Bivas Rana, et al.
Science Advances (2022) Vol. 8, Iss. 39
Open Access | Times Cited: 52
Experimental demonstration of a skyrmion-enhanced strain-mediated physical reservoir computing system
Yiming Sun, Tao Lin, Na Lei, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 29
Quantum reservoir computing implementation on coherently coupled quantum oscillators
Julien Dudas, Baptiste Carles, Erwan Plouet, et al.
npj Quantum Information (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 24
Predicting tissue distribution and tumor delivery of nanoparticles in mice using machine learning models
Kun Mi, Wei-Chun Chou, Qiran Chen, et al.
Journal of Controlled Release (2024) Vol. 374, pp. 219-229
Open Access | Times Cited: 9
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: 1
Fundamental physics and applications of skyrmions: A review
Kang Wang, Vineetha Bheemarasetty, Junhang Duan, et al.
Journal of Magnetism and Magnetic Materials (2022) Vol. 563, pp. 169905-169905
Open Access | Times Cited: 29
Spintronics intelligent devices
Wenlong Cai, Yan Huang, Xueying Zhang, et al.
Science China Physics Mechanics and Astronomy (2023) Vol. 66, Iss. 11
Closed Access | Times Cited: 15
Information Processing Capacity of Spintronic Oscillator
Sumito Tsunegi, Tomoyuki Kubota, Akira Kamimaki, et al.
Advanced Intelligent Systems (2023) Vol. 5, Iss. 9
Open Access | Times Cited: 14
On latent dynamics learning in nonlinear reduced order modeling
N. Farenga, Stefania Fresca, Simone Brivio, et al.
Neural Networks (2025) Vol. 185, pp. 107146-107146
Open Access
Gradient-based optimization of spintronic devices
Y. Imai, S. Liu, Nozomi Akashi, et al.
Applied Physics Letters (2025) Vol. 126, Iss. 8
Closed Access
Skyr-Net: Deep learning approach for image classification of magnetic structures
Mahmut Çimen, Aykut Can Önel, A. Emre Yarımbıyık, et al.
Journal of Magnetism and Magnetic Materials (2025), pp. 172912-172912
Closed Access
RingSim—An agent-based approach for modeling mesoscopic magnetic nanowire networks
Ian Vidamour, G. Venkat, C. Swindells, et al.
Journal of Applied Physics (2025) Vol. 137, Iss. 13
Open Access
A Coupled Spintronics Neuromorphic Approach for High‐Performance Reservoir Computing
Nozomi Akashi, Yasuo Kuniyoshi, Sumito Tsunegi, et al.
Advanced Intelligent Systems (2022) Vol. 4, Iss. 10
Open Access | Times Cited: 18
Magnetoionics for Synaptic Devices and Neuromorphic Computing: Recent Advances, Challenges, and Future Perspectives
P. Monalisha, Maria Ameziane, Irena Spasojević, et al.
Small Science (2024)
Open Access | Times Cited: 3
Skyrmion based energy-efficient straintronic physical reservoir computing
Md Mahadi Rajib, Walid Al Misba, Md. Fahim F. Chowdhury, et al.
Neuromorphic Computing and Engineering (2022) Vol. 2, Iss. 4, pp. 044011-044011
Open Access | Times Cited: 13
MBD-NODE: physics-informed data-driven modeling and simulation of constrained multibody systems
Jingquan Wang, Shu Wang, Huzaifa Mustafa Unjhawala, et al.
Multibody System Dynamics (2024)
Closed Access | Times Cited: 2
Machine learning for online control of particle accelerators
Xiaolong Chen, Zhijun Wang, Yuan He, et al.
Science China Physics Mechanics and Astronomy (2024) Vol. 68, Iss. 2
Closed Access | Times Cited: 2
Forecasting with an N-dimensional Langevin equation and a neural-ordinary differential equation
Antonio Malpica-Morales, Miguel A. Durán-Olivencia, Serafim Kalliadasis
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 4
Open Access | Times Cited: 1
Feedback-Driven Quantum Reservoir Computing for Time-Series Analysis
Kaito Kobayashi, Keisuke Fujii, Naoki Yamamoto
PRX Quantum (2024) Vol. 5, Iss. 4
Open Access | Times Cited: 1
Physical reservoir computing: a tutorial
Susan Stepney
Natural Computing (2024) Vol. 23, Iss. 4, pp. 665-685
Open Access | Times Cited: 1
Strain-mediated reservoir computing with temporal and spatial co-multiplexing in multiferroic heterostructures
Yiming Sun, Xing Chen, Chao Chen, et al.
Applied Physics Letters (2024) Vol. 125, Iss. 10
Closed Access
FNNGM: A neural-driven fractional-derivative multivariate fusion model for interpretable real-time CPI forecasts
Song Ding, Zhijian Cai, Yanzu Wu, et al.
Knowledge-Based Systems (2024), pp. 112591-112591
Closed Access
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