
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 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: 69
Shaohua Kan, Kohei Nakajima, Tetsuya Asai, et al.
Advanced Science (2021) Vol. 9, Iss. 6
Open Access | Times Cited: 69
Showing 1-25 of 69 citing articles:
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: 100
Matteo Cucchi, Steven Abreu, Giuseppe Ciccone, et al.
Neuromorphic Computing and Engineering (2022) Vol. 2, Iss. 3, pp. 032002-032002
Open Access | Times Cited: 100
All-ferroelectric implementation of reservoir computing
Zhiwei Chen, Wenjie Li, Zhen Fan, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 85
Zhiwei Chen, Wenjie Li, Zhen Fan, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 85
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
Xiangpeng Liang, Jianshi Tang, Ya‐Nan Zhong, et al.
Nature Electronics (2024) Vol. 7, Iss. 3, pp. 193-206
Closed Access | Times Cited: 43
Functional Materials for Memristor‐Based Reservoir Computing: Dynamics and Applications
Guohua Zhang, Jingrun Qin, Yue Zhang, et al.
Advanced Functional Materials (2023) Vol. 33, Iss. 42
Closed Access | Times Cited: 41
Guohua Zhang, Jingrun Qin, Yue Zhang, et al.
Advanced Functional Materials (2023) Vol. 33, Iss. 42
Closed Access | Times Cited: 41
Toward a Brain–Neuromorphics Interface
Changjin Wan, Mengjiao Pei, Kailu Shi, et al.
Advanced Materials (2024) Vol. 36, Iss. 37
Closed Access | Times Cited: 18
Changjin Wan, Mengjiao Pei, Kailu Shi, et al.
Advanced Materials (2024) Vol. 36, Iss. 37
Closed Access | Times Cited: 18
Edge-of-chaos learning achieved by ion-electron–coupled dynamics in an ion-gating reservoir
Daiki Nishioka, Takashi Tsuchiya, Wataru Namiki, et al.
Science Advances (2022) Vol. 8, Iss. 50
Open Access | Times Cited: 52
Daiki Nishioka, Takashi Tsuchiya, Wataru Namiki, et al.
Science Advances (2022) Vol. 8, Iss. 50
Open Access | Times Cited: 52
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
S. Wakabayashi, Takayuki Arie, Seiji Akita, et al.
Advanced Materials (2022) Vol. 34, Iss. 26
Closed Access | Times Cited: 41
Near‐Sensor Reservoir Computing for Gait Recognition via a Multi‐Gate Electrolyte‐Gated Transistor
Xuerong Liu, Cui Sun, Zhecheng Guo, et al.
Advanced Science (2023) Vol. 10, Iss. 15
Open Access | Times Cited: 33
Xuerong Liu, Cui Sun, Zhecheng Guo, et al.
Advanced Science (2023) Vol. 10, Iss. 15
Open Access | Times Cited: 33
Advances in Machine‐Learning Enhanced Nanosensors: From Cloud Artificial Intelligence Toward Future Edge Computing at Chip Level
Zixuan Zhang, Xinmiao Liu, Hong Zhou, et al.
Small Structures (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 27
Zixuan Zhang, Xinmiao Liu, Hong Zhou, et al.
Small Structures (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 27
Reservoir computing and photoelectrochemical sensors: A marriage of convenience
Gisya Abdi, Lulu Alluhaibi, Ewelina Kowalewska, et al.
Coordination Chemistry Reviews (2023) Vol. 487, pp. 215155-215155
Closed Access | Times Cited: 22
Gisya Abdi, Lulu Alluhaibi, Ewelina Kowalewska, et al.
Coordination Chemistry Reviews (2023) Vol. 487, pp. 215155-215155
Closed Access | Times Cited: 22
A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning
Heng Zhang, Danilo Vasconcellos Vargas
IEEE Access (2023) Vol. 11, pp. 81033-81070
Open Access | Times Cited: 22
Heng Zhang, Danilo Vasconcellos Vargas
IEEE Access (2023) Vol. 11, pp. 81033-81070
Open Access | Times Cited: 22
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: 22
Wataru Namiki, Daiki Nishioka, Yu Yamaguchi, et al.
Advanced Intelligent Systems (2023) Vol. 5, Iss. 12
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
Daiki Nishioka, Yoshitaka Shingaya, Takashi Tsuchiya, et al.
Science Advances (2024) Vol. 10, Iss. 9
Open Access | Times Cited: 13
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
Wataru Namiki, Daiki Nishioka, Takashi Tsuchiya, et al.
Nano Letters (2024) Vol. 24, Iss. 15, pp. 4383-4392
Open Access | Times Cited: 8
Performance of reservoir computing in a random network of single-walled carbon nanotubes complexed with polyoxometalate
Megumi Akai‐Kasaya, Yuki Takeshima, Shaohua Kan, et al.
Neuromorphic Computing and Engineering (2021) Vol. 2, Iss. 1, pp. 014003-014003
Open Access | Times Cited: 43
Megumi Akai‐Kasaya, Yuki Takeshima, Shaohua Kan, et al.
Neuromorphic Computing and Engineering (2021) Vol. 2, Iss. 1, pp. 014003-014003
Open Access | Times Cited: 43
A Redox‐Based Ion‐Gating Reservoir, Utilizing Double Reservoir States in Drain and Gate Nonlinear Responses
Tomoki Wada, Daiki Nishioka, Wataru Namiki, et al.
Advanced Intelligent Systems (2023) Vol. 5, Iss. 9
Open Access | Times Cited: 21
Tomoki Wada, Daiki Nishioka, Wataru Namiki, et al.
Advanced Intelligent Systems (2023) Vol. 5, Iss. 9
Open Access | Times Cited: 21
In Liquido Computation with Electrochemical Transistors and Mixed Conductors for Intelligent Bioelectronics
Matteo Cucchi, Daniela Parker, Eleni Stavrinidou, et al.
Advanced Materials (2023), pp. 2209516-2209516
Open Access | Times Cited: 17
Matteo Cucchi, Daniela Parker, Eleni Stavrinidou, et al.
Advanced Materials (2023), pp. 2209516-2209516
Open Access | Times Cited: 17
Oxide‐Based Electrolyte‐Gated Transistors with Stable and Tunable Relaxation Responses for Deep Time‐Delayed Reservoir Computing
Renrui Fang, Shaocong Wang, Woyu Zhang, et al.
Advanced Electronic Materials (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 6
Renrui Fang, Shaocong Wang, Woyu Zhang, et al.
Advanced Electronic Materials (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 6
Analog reservoir computing via ferroelectric mixed phase boundary transistors
Jangsaeng Kim, Eun Chan Park, Wonjun Shin, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Jangsaeng Kim, Eun Chan Park, Wonjun Shin, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Polyoxometalate Accelerated Cationic Migration for Reservoir Computing
Guohua Zhang, Ziyu Xiong, Yue Gong, et al.
Advanced Functional Materials (2022) Vol. 32, Iss. 45
Closed Access | Times Cited: 25
Guohua Zhang, Ziyu Xiong, Yue Gong, et al.
Advanced Functional Materials (2022) Vol. 32, Iss. 45
Closed Access | Times Cited: 25
Dynamic Nonlinear Behavior of Ionic Liquid-Based Reservoir Computing Devices
Takuma Matsuo, Dan Sato, Sang-Gyu Koh, et al.
ACS Applied Materials & Interfaces (2022) Vol. 14, Iss. 32, pp. 36890-36901
Open Access | Times Cited: 22
Takuma Matsuo, Dan Sato, Sang-Gyu Koh, et al.
ACS Applied Materials & Interfaces (2022) Vol. 14, Iss. 32, pp. 36890-36901
Open Access | Times Cited: 22
In materia implementation strategies of physical reservoir computing with memristive nanonetworks
Gianluca Milano, Kevin Montano, Carlo Ricciardi
Journal of Physics D Applied Physics (2023) Vol. 56, Iss. 8, pp. 084005-084005
Open Access | Times Cited: 15
Gianluca Milano, Kevin Montano, Carlo Ricciardi
Journal of Physics D Applied Physics (2023) Vol. 56, Iss. 8, pp. 084005-084005
Open Access | Times Cited: 15
In-materio reservoir computing based on nanowire networks: fundamental, progress, and perspective
Renrui Fang, Woyu Zhang, Kuan Ren, et al.
Materials Futures (2023) Vol. 2, Iss. 2, pp. 022701-022701
Open Access | Times Cited: 13
Renrui Fang, Woyu Zhang, Kuan Ren, et al.
Materials Futures (2023) Vol. 2, Iss. 2, pp. 022701-022701
Open Access | Times Cited: 13
ChemComp: A Compilation Framework for Computing with Chemical Reaction Networks
Nicolas Bohm Agostini, Connah Johnson, William R. Cannon, et al.
Proceedings of the 28th Asia and South Pacific Design Automation Conference (2025), pp. 872-878
Closed Access
Nicolas Bohm Agostini, Connah Johnson, William R. Cannon, et al.
Proceedings of the 28th Asia and South Pacific Design Automation Conference (2025), pp. 872-878
Closed Access