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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:

Exploiting short-term memory in soft body dynamics as a computational resource
Kohei Nakajima, Tian Li, Helmut Häuser, et al.
Journal of The Royal Society Interface (2014) Vol. 11, Iss. 100, pp. 20140437-20140437
Open Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

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: 1475
Advances in photonic reservoir computing
Guy Van der Sande, Daniel Brunner, Miguel C. Soriano
Nanophotonics (2017) Vol. 6, Iss. 3, pp. 561-576
Open Access | Times Cited: 476
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: 308
Fundamentals of soft robot locomotion
Marcello Calisti, Giacomo Picardi, Cecilia Laschi
Journal of The Royal Society Interface (2017) Vol. 14, Iss. 130, pp. 20170101-20170101
Open Access | Times Cited: 258
Information processing via physical soft body
Kohei Nakajima, Helmut Häuser, Tao Li, et al.
Scientific Reports (2015) Vol. 5, Iss. 1
Open Access | Times Cited: 241
Harnessing Disordered-Ensemble Quantum Dynamics for Machine Learning
Keisuke Fujii, Kohei Nakajima
Physical Review Applied (2017) Vol. 8, Iss. 2
Open Access | Times Cited: 232
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: 102
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: 48
Physical reservoir computing based on spin torque oscillator with forced synchronization
Sumito Tsunegi, Tomohiro Taniguchi, Kohei Nakajima, et al.
Applied Physics Letters (2019) Vol. 114, Iss. 16
Closed Access | Times Cited: 137
Boosting Computational Power through Spatial Multiplexing in Quantum Reservoir Computing
Kohei Nakajima, Keisuke Fujii, Makoto Negoro, et al.
Physical Review Applied (2019) Vol. 11, Iss. 3
Open Access | Times Cited: 131
Exploiting the Dynamics of Soft Materials for Machine Learning
Kohei Nakajima, Helmut Häuser, Tao Li, et al.
Soft Robotics (2018) Vol. 5, Iss. 3, pp. 339-347
Open Access | Times Cited: 102
Foundations for Soft, Smart Matter by Active Mechanical Metamaterials
Maya Pishvar, Ryan L. Harne
Advanced Science (2020) Vol. 7, Iss. 18
Open Access | Times Cited: 93
Design and Locomotion Control of a Soft Robot Using Friction Manipulation and Motor–Tendon Actuation
Vishesh Vikas, Eliad Cohen, Rob Grassi, et al.
IEEE Transactions on Robotics (2016) Vol. 32, Iss. 4, pp. 949-959
Open Access | Times Cited: 89
Encoding memory in tube diameter hierarchy of living flow network
Mirna Kramar, Karen Alim
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 10
Open Access | Times Cited: 82
Reservoir Computing Using a Spin-Wave Delay-Line Active-Ring Resonator Based on Yttrium-Iron-Garnet Film
Stuart Watt, Mikhail Kostylev
Physical Review Applied (2020) Vol. 13, Iss. 3
Open Access | Times Cited: 78
At the intersection of optics and deep learning: statistical inference, computing, and inverse design
Deniz Mengü, Md Sadman Sakib Rahman, Yi Luo, et al.
Advances in Optics and Photonics (2022) Vol. 14, Iss. 2, pp. 209-209
Open Access | Times Cited: 45
Biological neurons act as generalization filters in reservoir computing
Takuma Sumi, Hideaki Yamamoto, Yuichi Katori, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 25
Open Access | Times Cited: 23
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: 23
Lessons from Animals and Plants: The Symbiosis of Morphological Computation and Soft Robotics
Cecilia Laschi, Barbara Mazzolai
IEEE Robotics & Automation Magazine (2016) Vol. 23, Iss. 3, pp. 107-114
Closed Access | Times Cited: 69
Evolutionary aspects of reservoir computing
Luís F. Seoane
Philosophical Transactions of the Royal Society B Biological Sciences (2019) Vol. 374, Iss. 1774, pp. 20180377-20180377
Open Access | Times Cited: 62
What is an artificial muscle? A comparison of soft actuators to biological muscles
Diego R Higueras-Ruiz, Kiisa C. Nishikawa, Heidi P. Feigenbaum, et al.
Bioinspiration & Biomimetics (2021) Vol. 17, Iss. 1, pp. 011001-011001
Closed Access | Times Cited: 53
Optimizing a quantum reservoir computer for time series prediction
Aki Kutvonen, Keisuke Fujii, Takahiro Sagawa
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 50
Leveraging Morphological Computation for Controlling Soft Robots: Learning from Nature to Control Soft Robots
Helmut Häuser, Thrishantha Nanayakkara, Fulvio Forni
IEEE Control Systems (2023) Vol. 43, Iss. 3, pp. 114-129
Closed Access | Times Cited: 20
Macromagnetic Simulation for Reservoir Computing Utilizing Spin Dynamics in Magnetic Tunnel Junctions
Taishi Furuta, Keisuke Fujii, Kohei Nakajima, et al.
Physical Review Applied (2018) Vol. 10, Iss. 3
Open Access | Times Cited: 51
Microfabricated Neuroaccelerometer: Integrating Sensing and Reservoir Computing in MEMS
Bruno Barazani, Guillaume Dion, Jean-François Morissette, et al.
Journal of Microelectromechanical Systems (2020) Vol. 29, Iss. 3, pp. 338-347
Open Access | Times Cited: 46
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