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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:

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

Showing 22 citing articles:

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
Magnetization Vector Rotation Reservoir Computing Operated by Redox Mechanism
Wataru Namiki, Daiki Nishioka, Takashi Tsuchiya, et al.
Nano Letters (2024) Vol. 24, Iss. 15, pp. 4383-4392
Open Access | Times Cited: 8
Experimental Demonstration of High‐Performance Physical Reservoir Computing with Nonlinear Interfered Spin Wave Multidetection
Wataru Namiki, Daiki Nishioka, Yu Yamaguchi, et al.
Advanced Intelligent Systems (2023) Vol. 5, Iss. 12
Open Access | Times Cited: 21
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: 13
Dynamics of current-driven spin waves in a confined track
Yunxi Jiang, Xi Chen, Chen Xuan, et al.
Journal of Magnetism and Magnetic Materials (2025), pp. 172800-172800
Closed Access
Goos–Hänchen shift of inelastically scattered spin-wave beams and cascade nonlinear magnon processes
Krzysztof Sobucki, I. L. Lyubchanskiĭ, Maciej Krawczyk, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Analytic-signal-based input-output modeling inspires passband signal learning for spin-wave reservoir computing
Jiaxuan Chen, Yicheng Song, Akira Hirose
Physical Review Applied (2025) Vol. 23, Iss. 3
Closed Access
Spintronic reservoir computing with interpretable nonlinearity
Jiaxuan Chen, Yicheng Song, Akira Hirose
Physical Review Research (2025) Vol. 7, Iss. 1
Open Access
Performance improvement in reservoir computing by using HfZrO2 FeFETs through operating voltage optimization
Shin-Yi Min, Kasidit Toprasertpong, Eishin Nako, et al.
Japanese Journal of Applied Physics (2024) Vol. 63, Iss. 3, pp. 03SP19-03SP19
Open Access | Times Cited: 3
Universal scaling between wave speed and size enables nanoscale high-performance reservoir computing based on propagating spin-waves
Satoshi Iihama, Yuya Koike, Shigemi Mizukami, et al.
npj Spintronics (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 3
Fast physical reservoir computing, achieved with nonlinear interfered spin waves
Wataru Namiki, Daiki Nishioka, Takashi Tsuchiya, et al.
Neuromorphic Computing and Engineering (2024) Vol. 4, Iss. 2, pp. 024015-024015
Open Access | Times Cited: 3
Physical Reservoir Computing Enabled by Solitary Waves and Biologically Inspired Nonlinear Transformation of Input Data
Ivan S. Maksymov
Dynamics (2024) Vol. 4, Iss. 1, pp. 119-134
Open Access | Times Cited: 2
Opto-magnonic reservoir computing coupling nonlinear interfered spin wave and visible light switching
Wataru Namiki, Yu Yamaguchi, Daiki Nishioka, et al.
Materials Today Physics (2024) Vol. 45, pp. 101465-101465
Open Access | Times Cited: 2
Electric double layer effect in the vicinity of solid electrolyte/diamond interfaces and the application to neuromorphic computing
Takashi Tsuchiya, Makoto Takayanagi, Daiki Nishioka, et al.
Journal of Solid State Electrochemistry (2024) Vol. 28, Iss. 12, pp. 4367-4376
Closed Access | Times Cited: 2
Role of voltage-controlled magnetic anisotropy in the recent development of magnonics and spintronics
Bivas Rana
Journal of Applied Physics (2024) Vol. 136, Iss. 15
Open Access | Times Cited: 2
Physical Reservoir Computing Enabled by Solitary Waves and Biologically-Inspired Nonlinear Transformation of Input Data
Ivan S. Maksymov
(2024)
Open Access | Times Cited: 1
Asymmetric transition of electrical resistance in an all-solid-state redox device with Fe3O4 and Li-ion electrolyte thin films for physical reservoir computing
Wataru Namiki, Takashi Tsuchiya, Daiki Nishioka, et al.
Japanese Journal of Applied Physics (2024) Vol. 63, Iss. 3, pp. 03SP13-03SP13
Open Access | Times Cited: 1
Spin-wave reservoir chips with short-term memory for high-speed estimation of external magnetic fields
Sho Nagase, Shoki Nezu, Koji Sekiguchi
Physical Review Applied (2024) Vol. 22, Iss. 2
Closed Access | Times Cited: 1
Iono–Magnonic Reservoir Computing With Chaotic Spin Wave Interference Manipulated by Ion‐Gating
Wataru Namiki, Daiki Nishioka, Yuki Nomura, et al.
Advanced Science (2024)
Open Access
Nonlinearity Enhancement in Spin-Wave Reservoir Computing with the Utilization of Coexisting Magnetostatic Modes
Zhuocheng Yang, Jiaxuan Chen, Akira Hirose
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 38, pp. 1-7
Closed Access
Physical Reservoir Computing Utilizing Ion‐Gating Transistors Operating in Electric Double Layer and Redox Mechanisms
Takashi Tsuchiya, Daiki Nishioka, Wataru Namiki, et al.
Advanced Electronic Materials (2024)
Closed Access
Reservoir Computing for Symbol Detection of Optical Wireless Scattering Communications
Haotian Chen, Ryo Natsuaki, Akira Hirose
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-6
Closed Access
Time-domain Fading Channel Prediction Based on Spin-wave Reservoir Computing
Jiaxuan Chen, Haotian Chen, Ryosho Nakane, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Closed Access
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