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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 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: 66

Showing 26-50 of 66 citing articles:

Inverted input method for computing performance enhancement of the ion-gating reservoir
Yu Yamaguchi, Daiki Nishioka, Wataru Namiki, et al.
Applied Physics Express (2024) Vol. 17, Iss. 2, pp. 024501-024501
Open Access | Times Cited: 3
Physics‐Aware Analytic‐Gradient Training of Photonic Neural Networks
Yuancheng Zhan, Hui Zhang, Hexiang Lin, et al.
Laser & Photonics Review (2024) Vol. 18, Iss. 4
Open Access | Times Cited: 3
Deep Photonic Reservoir Computer for Speech Recognition
Enrico Picco, Alessandro Lupo, Serge Massar
IEEE Transactions on Neural Networks and Learning Systems (2024), pp. 1-9
Open Access | Times Cited: 3
Prediction of Hippocampal Signals in Mice Using a Deep Learning Approach for Neurohybrid Technology Applications
Albina Lebedeva, Margarita I. Samburova, Vyacheslav V. Razin, et al.
Algorithms (2024) Vol. 17, Iss. 6, pp. 252-252
Open Access | Times Cited: 3
A photonics perspective on computing with physical substrates
Stella Abreu, И. В. Бойков, Michel Goldmann, et al.
Reviews in Physics (2024) Vol. 12, pp. 100093-100093
Open Access | Times Cited: 3
A high-performance deep reservoir computer experimentally demonstrated with ion-gating reservoirs
Daiki Nishioka, Takashi Tsuchiya, Masataka Imura, et al.
Communications Engineering (2024) Vol. 3, 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 neural networks with self-learning capabilities
Weichao Yu, Hangwen Guo, Jiang Xiao, et al.
Science China Physics Mechanics and Astronomy (2024) Vol. 67, Iss. 8
Open Access | Times Cited: 3
Streamlined photonic reservoir computer with augmented memory capabilities
Changdi Zhou, Yu Huang, Yigong Yang, et al.
Opto-Electronic Advances (2024), pp. 240135-240135
Closed Access | Times Cited: 3
Tackling Sampling Noise in Physical Systems for Machine Learning Applications: Fundamental Limits and Eigentasks
Fangjun Hu, Gerasimos Angelatos, Saeed A. Khan, et al.
Physical Review X (2023) Vol. 13, Iss. 4
Open Access | Times Cited: 8
Learning‐Effective Mixed‐Dimensional Halide Perovskite QD Synaptic Array for Self‐Rectifying and Luminous Artificial Neural Networks
Young Ran Park, Gunuk Wang
Advanced Functional Materials (2023) Vol. 34, Iss. 3
Closed Access | Times Cited: 8
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
Physical Reservoir Computing Enabled by Solitary Waves and Biologically-Inspired Nonlinear Transformation of Input Data
Ivan S. Maksymov
(2024)
Open Access | Times Cited: 1
Large-scale neuromorphic systems enabled by integrated photonics
Weihong Shen, Qiming Zhang
Elsevier eBooks (2024), pp. 191-220
Closed Access | Times Cited: 1
The optoelectronic reservoir computing system based on parallel multi-time-delay feedback loops for time-series prediction and optical performance monitoring
Xin Yuan, Lin Jiang, Lianshan Yan, et al.
Chaos Solitons & Fractals (2024) Vol. 186, pp. 115306-115306
Closed Access | Times Cited: 1
Physical reservoir computing: a tutorial
Susan Stepney
Natural Computing (2024) Vol. 23, Iss. 4, pp. 665-685
Open Access | Times Cited: 1
Emergent Self‐Adaptation in an Integrated Photonic Neural Network for Backpropagation‐Free Learning
Alessio Lugnan, Samarth Aggarwal, Frank Brückerhoff‐Plückelmann, et al.
Advanced Science (2024) Vol. 12, Iss. 2
Open Access | Times Cited: 1
Reservoir Computing Using On-Chip XGM-Based Nonlinear Processing by Membrane SOAs on Si-MZI
Takuma Tsurugaya, Tatsurou Hiraki, Takuma Aihara, et al.
Journal of Lightwave Technology (2023) Vol. 42, Iss. 8, pp. 2859-2867
Open Access | Times Cited: 3
Learning Reservoir Dynamics with Temporal Self-Modulation
Yusuke Sakemi, Sou Nobukawa, Toshitaka Matsuki, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Photonic Neural Networks with Spatiotemporal Dynamics
Hideyuki Suzuki, Jun Tanida, Masanori Hashimoto
(2023)
Open Access | Times Cited: 2
Densely Parallelized Photonic Tensor Processor on Hybrid Waveguide/Free-Space-Optics
M. Nakajima, Kenji Tanaka, Katsuma Inoue, et al.
(2023), pp. 1-3
Closed Access | Times Cited: 2
Emergent self-adaptation in an integrated photonic neural network for backpropagation-free learning
Alessio Lugnan, Samarth Aggarwal, Frank Brückerhoff‐Plückelmann, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Parallel neuromorphic computing on space and wavelength division multiplexed photonic processor
M. Nakajima
(2024), pp. 39-39
Closed Access
Prediction of Hippocampal Signals in Mice Using a Deep Learning Approach for Neurohybrid Technology Applications
Albina Lebedeva, Margarita I. Samburova, Vyacheslav V. Razin, et al.
(2024)
Open Access
Physical reservoir computing and deep neural networks using artificial and natural noncollinear spin textures
Haotian Li, Liyuan Li, Rongxin Xiang, et al.
Physical Review Applied (2024) Vol. 22, Iss. 1
Closed Access

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