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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: 65

Showing 1-25 of 65 citing articles:

Blending Optimal Control and Biologically Plausible Learning for Noise-Robust Physical Neural Networks
Satoshi Sunada, Tomoaki Niiyama, Kazutaka Kanno, et al.
Physical Review Letters (2025) Vol. 134, Iss. 1
Closed Access | Times Cited: 1
Backpropagation-free training of deep physical neural networks
Ali Momeni, Babak Rahmani, Matthieu Malléjac, et al.
Science (2023) Vol. 382, Iss. 6676, pp. 1297-1303
Open Access | Times Cited: 31
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
Photonic Neural Networks Based on Integrated Silicon Microresonators
Stefano Biasi, Giovanni Donati, Alessio Lugnan, et al.
Intelligent Computing (2023) Vol. 3
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
Quantum-Inspired Neural Network Model of Optical Illusions
Ivan S. Maksymov
Algorithms (2024) Vol. 17, Iss. 1, pp. 30-30
Open Access | Times Cited: 8
Integrated photonic neuromorphic computing: opportunities and challenges
Nikolaos Farmakidis, Bowei Dong, Harish Bhaskaran
Nature Reviews Electrical Engineering (2024) Vol. 1, Iss. 6, pp. 358-373
Closed Access | Times Cited: 8
Deep photonic reservoir computing recurrent network
Yi-Wei Shen, Ruiqian Li, Guanting Liu, et al.
Optica (2023) Vol. 10, Iss. 12, pp. 1745-1745
Open Access | Times Cited: 19
Photonic online learning: a perspective
Sonia Buckley, Alexander N. Tait, Adam N. McCaughan, et al.
Nanophotonics (2023) Vol. 12, Iss. 5, pp. 833-845
Open Access | Times Cited: 18
Deep photonic reservoir computer based on frequency multiplexing with fully analog connection between layers
Alessandro Lupo, Enrico Picco, Marina Zajnulina, et al.
Optica (2023) Vol. 10, Iss. 11, pp. 1478-1478
Open Access | Times Cited: 17
Programmable integrated photonic coherent matrix: Principle, configuring, and applications
Bo Wu, Hailong Zhou, Jianji Dong, et al.
Applied Physics Reviews (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 6
Analog Photonics Computing for Information Processing, Inference, and Optimization
Nikita Stroev, Natalia G. Berloff
Advanced Quantum Technologies (2023) Vol. 6, Iss. 9
Open Access | Times Cited: 15
Retrieving past quantum features with deep hybrid classical-quantum reservoir computing
Johannes Nokkala, Gian Luca Giorgi, Roberta Zambrini
Machine Learning Science and Technology (2024) Vol. 5, Iss. 3, pp. 035022-035022
Open Access | Times Cited: 4
The Physics of Preference: Unravelling Imprecision of Human Preferences through Magnetisation Dynamics
Ivan S. Maksymov, Ganna Pogrebna
Information (2024) Vol. 15, Iss. 7, pp. 413-413
Open Access | Times Cited: 4
Overcoming the coherence time barrier in quantum machine learning on temporal data
Fangjun Hu, Saeed A. Khan, Nicholas T. Bronn, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
An Analysis of Components and Enhancement Strategies for Advancing Memristive Neural Networks
Hyungjun Park, Joon‐Kyu Han, Seongpil Yim, et al.
Advanced Materials (2025)
Open Access
Efficient optimisation of physical reservoir computers using only a delayed input
Enrico Picco, Lina Jaurigue, Kathy Lüdge, et al.
Communications Engineering (2025) Vol. 4, Iss. 1
Open Access
Deep photonic reservoir computing based on a distributed feedback laser array
Changdi Zhou, Penghua Mu, Yu Huang, et al.
APL Photonics (2025) Vol. 10, Iss. 2
Open Access
Multi-source physical information driven deep learning in intelligent education: Unleashing the potential of deep neural networks in complex educational evaluation
Zhizhong Xing, Ying Yang, Li Tan, et al.
AIP Advances (2025) Vol. 15, Iss. 2
Open Access
Annealing-inspired training of an optical neural network with ternary weights
Anas Skalli, Mirko Goldmann, Nasibeh Haghighi, et al.
Communications Physics (2025) Vol. 8, Iss. 1
Open Access
Noise and Dynamical Synapses as Optimization Tools for Spiking Neural Networks
Yana Garipova, Shogo Yonekura, Yasuo Kuniyoshi
Entropy (2025) Vol. 27, Iss. 3, pp. 219-219
Open Access
Asymmetrical estimator for training encapsulated deep photonic neural networks
Yizhi Wang, Minjia Chen, C.C. Yao, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Redox-based ion-gating reservoir consisting of (104) oriented LiCoO2 film, assisted by physical masking
Kaoru Shibata, Daiki Nishioka, Wataru Namiki, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12
Learning reservoir dynamics with temporal self-modulation
Yusuke Sakemi, Sou Nobukawa, Toshitaka Matsuki, et al.
Communications Physics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 3
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
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