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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:

Recent advances in physical reservoir computing: A review
Gouhei Tanaka, Toshiyuki Yamane, J. B. Héroux, et al.
Neural Networks (2019) Vol. 115, pp. 100-123
Open Access | Times Cited: 1464

Showing 1-25 of 1464 citing articles:

Opportunities and challenges for spintronics in the microelectronics industry
B. Diény, Lucian Prejbeanu, Kévin Garello, et al.
Nature Electronics (2020) Vol. 3, Iss. 8, pp. 446-459
Open Access | Times Cited: 716
Opportunities for neuromorphic computing algorithms and applications
Catherine D. Schuman, Shruti Kulkarni, Maryam Parsa, et al.
Nature Computational Science (2022) Vol. 2, Iss. 1, pp. 10-19
Open Access | Times Cited: 565
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
Oludare Isaac Abiodun, Muhammad Ubale Kiru, Aman Jantan, et al.
IEEE Access (2019) Vol. 7, pp. 158820-158846
Open Access | Times Cited: 509
Temporal data classification and forecasting using a memristor-based reservoir computing system
J. W. Moon, Wen Ma, Jong Hoon Shin, et al.
Nature Electronics (2019) Vol. 2, Iss. 10, pp. 480-487
Closed Access | Times Cited: 452
2022 roadmap on neuromorphic computing and engineering
Dennis Valbjørn Christensen, Regina Dittmann, B. Linares-Barranco, et al.
Neuromorphic Computing and Engineering (2022) Vol. 2, Iss. 2, pp. 022501-022501
Open Access | Times Cited: 447
Deep physical neural networks trained with backpropagation
Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein, et al.
Nature (2022) Vol. 601, Iss. 7894, pp. 549-555
Open Access | Times Cited: 447
Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing
Ya‐Nan Zhong, Jianshi Tang, Xinyi Li, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 365
The rise of intelligent matter
Corinna Kaspar, Bart Jan Ravoo, Wilfred G. van der Wiel, et al.
Nature (2021) Vol. 594, Iss. 7863, pp. 345-355
Open Access | Times Cited: 357
Dynamical memristors for higher-complexity neuromorphic computing
Suhas Kumar, Xinxin Wang, John Paul Strachan, et al.
Nature Reviews Materials (2022) Vol. 7, Iss. 7, pp. 575-591
Closed Access | Times Cited: 315
Physical reservoir computing—an introductory perspective
Kohei Nakajima
Japanese Journal of Applied Physics (2020) Vol. 59, Iss. 6, pp. 060501-060501
Open Access | Times Cited: 306
In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks
Gianluca Milano, Giacomo Pedretti, Kevin Montano, et al.
Nature Materials (2021) Vol. 21, Iss. 2, pp. 195-202
Open Access | Times Cited: 295
Applications of artificial intelligence for disaster management
Wenjuan Sun, Paolo Bocchini, Brian D. Davison
Natural Hazards (2020) Vol. 103, Iss. 3, pp. 2631-2689
Closed Access | Times Cited: 289
In-sensor reservoir computing for language learning via two-dimensional memristors
Linfeng Sun, Zhongrui Wang, Jinbao Jiang, et al.
Science Advances (2021) Vol. 7, Iss. 20
Open Access | Times Cited: 281
Introduction to spin wave computing
Abdulqader Mahmoud, Florin Ciubotaru, Frederic Vanderveken, et al.
Journal of Applied Physics (2020) Vol. 128, Iss. 16
Open Access | Times Cited: 277
Coupled oscillators for computing: A review and perspective
György Csaba, Wolfgang Porod
Applied Physics Reviews (2020) Vol. 7, Iss. 1
Closed Access | Times Cited: 204
The 2020 magnetism roadmap
E. Y. Vedmedenko, Roland Kawakami, Denis D. Sheka, et al.
Journal of Physics D Applied Physics (2020) Vol. 53, Iss. 45, pp. 453001-453001
Open Access | Times Cited: 194
Reconfigurable halide perovskite nanocrystal memristors for neuromorphic computing
Rohit Abraham John, Yiğit Demirağ, Yevhen Shynkarenko, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 169
Recent Advances of Volatile Memristors: Devices, Mechanisms, and Applications
Ruopeng Wang, Jia‐Qin Yang, Jing‐Yu Mao, et al.
Advanced Intelligent Systems (2020) Vol. 2, Iss. 9
Open Access | Times Cited: 164
A memristor-based analogue reservoir computing system for real-time and power-efficient signal processing
Ya‐Nan Zhong, Jianshi Tang, Xinyi Li, et al.
Nature Electronics (2022) Vol. 5, Iss. 10, pp. 672-681
Open Access | Times Cited: 163
Memristor networks for real-time neural activity analysis
Xiaojian Zhu, Qiwen Wang, Wei Lü
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 160
Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Alexander E. Hramov, Vladimir Maksimenko, Alexander N. Pisarchik
Physics Reports (2021) Vol. 918, pp. 1-133
Closed Access | Times Cited: 152
Scalable reservoir computing on coherent linear photonic processor
M. Nakajima, Kenji Tanaka, Toshikazu Hashimoto
Communications Physics (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 133
Avalanches and edge-of-chaos learning in neuromorphic nanowire networks
Joel Hochstetter, Ruomin Zhu, Alon Loeffler, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 129
Reservoir computing with biocompatible organic electrochemical networks for brain-inspired biosignal classification
Matteo Cucchi, Christopher Gruener, Lautaro N. Petrauskas, et al.
Science Advances (2021) Vol. 7, Iss. 34, pp. eabh0693-eabh0693
Open Access | Times Cited: 123
Reconfigurable training and reservoir computing in an artificial spin-vortex ice via spin-wave fingerprinting
Jack C. Gartside, Kilian D. Stenning, Alex Vanstone, et al.
Nature Nanotechnology (2022) Vol. 17, Iss. 5, pp. 460-469
Open Access | Times Cited: 121
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