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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:

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

Showing 1-25 of 306 citing articles:

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
Nanoscale neural network using non-linear spin-wave interference
Ádám Papp, Wolfgang Porod, György Csaba
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 149
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
Hands-on reservoir computing: a tutorial for practical implementation
Matteo Cucchi, Steven Abreu, Giuseppe Ciccone, et al.
Neuromorphic Computing and Engineering (2022) Vol. 2, Iss. 3, pp. 032002-032002
Open Access | Times Cited: 99
In-memory computing with emerging memory devices: Status and outlook
Piergiulio Mannocci, Matteo Farronato, Nicola Lepri, et al.
APL Machine Learning (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 56
Physical reservoir computing with emerging electronics
Xiangpeng Liang, Jianshi Tang, Ya‐Nan Zhong, et al.
Nature Electronics (2024) Vol. 7, Iss. 3, pp. 193-206
Closed Access | Times Cited: 43
Reducing reservoir computer hyperparameter dependence by external timescale tailoring
Lina Jaurigue, Kathy Lüdge
Neuromorphic Computing and Engineering (2024) Vol. 4, Iss. 1, pp. 014001-014001
Open Access | Times Cited: 19
3D-integrated multilayered physical reservoir array for learning and forecasting time-series information
Sanghyeon Choi, Jaeho Shin, Gwanyeong Park, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 17
Nonlinearity in Memristors for Neuromorphic Dynamic Systems
Yang Ke, J. Joshua Yang, Ru Huang, et al.
Small Science (2021) Vol. 2, Iss. 1
Open Access | Times Cited: 97
Temporal Information Processing on Noisy Quantum Computers
Jiayin Chen, Hendra I. Nurdin, Naoki Yamamoto
Physical Review Applied (2020) Vol. 14, Iss. 2
Open Access | Times Cited: 86
Physical reservoir computing with origami and its application to robotic crawling
Priyanka Bhovad, Suyi Li
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 70
Physical Implementation of Reservoir Computing through Electrochemical Reaction
Shaohua Kan, Kohei Nakajima, Tetsuya Asai, et al.
Advanced Science (2021) Vol. 9, Iss. 6
Open Access | Times Cited: 68
Physical deep learning with biologically inspired training method: gradient-free approach for physical hardware
M. Nakajima, Katsuma Inoue, Kenji Tanaka, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 65
Spoken Digit Classification by In-Materio Reservoir Computing With Neuromorphic Atomic Switch Networks
Sam Lilak, Walt Woods, Kelsey Scharnhorst, et al.
Frontiers in Nanotechnology (2021) Vol. 3
Open Access | Times Cited: 60
Natural quantum reservoir computing for temporal information processing
Yudai Suzuki, Qi Gao, Ken C. Pradel, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 47
A Multitasking Flexible Sensor via Reservoir Computing
S. Wakabayashi, Takayuki Arie, Seiji Akita, et al.
Advanced Materials (2022) Vol. 34, Iss. 26
Closed Access | Times Cited: 41
There’s Plenty of Room Right Here: Biological Systems as Evolved, Overloaded, Multi-Scale Machines
Joshua Bongard, Michael Levin
Biomimetics (2023) Vol. 8, Iss. 1, pp. 110-110
Open Access | Times Cited: 37
Pattern recognition in reciprocal space with a magnon-scattering reservoir
Lukas Körber, Christopher Heins, Tobias Hula, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 27
Temporal information processing induced by quantum noise
Tomoyuki Kubota, Yudai Suzuki, Shumpei Kobayashi, et al.
Physical Review Research (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 23
Performance Enhancement of a Spin-Wave-Based Reservoir Computing System Utilizing Different Physical Conditions
Ryosho Nakane, Akira Hirose, Gouhei Tanaka
Physical Review Applied (2023) Vol. 19, Iss. 3
Open Access | Times Cited: 22
Distinguishing artificial spin ice states using magnetoresistance effect for neuromorphic computing
Wenjie Hu, Zefeng Zhang, Yanghui Liao, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 22
Few- and single-molecule reservoir computing experimentally demonstrated with surface-enhanced Raman scattering and ion gating
Daiki Nishioka, Yoshitaka Shingaya, Takashi Tsuchiya, et al.
Science Advances (2024) Vol. 10, Iss. 9
Open Access | Times Cited: 13
Topological magnetic and ferroelectric systems for reservoir computing
Karin Everschor‐Sitte, Atreya Majumdar, Katharina Wolk, et al.
Nature Reviews Physics (2024) Vol. 6, Iss. 7, pp. 455-462
Closed Access | Times Cited: 12
Nanoscale magnonic networks
Qi Wang, György Csaba, Roman Verba, et al.
Physical Review Applied (2024) Vol. 21, Iss. 4
Closed Access | Times Cited: 11
Connectome-based reservoir computing with the conn2res toolbox
Laura E. Suárez, Ágoston Mihalik, Filip Milisav, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 10
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