Most cited papers in Neural Networks and Reservoir Computing
What are the most cited papers in Neural Networks and Reservoir Computing?
The most cited paper in Neural Networks and Reservoir Computing is "A scheme for efficient quantum computation with linear optics" (E. Knill, Raymond Laflamme, Gerard J Milburn, 2001), with 5,952 citations. Next come "A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures" (5,666) and "Deep Sparse Rectifier Neural Networks" (5,420).
Showing 50 of 99 papers. Every paper with more than 854 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | A scheme for efficient quantum computation with linear optics E. Knill, Raymond Laflamme, Gerard J Milburn · Nature | 2001 | 5,952 |
| 2 | A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures Yong Yu, Xiaosheng Si, Changhua Hu et al. · Neural Computation | 21 May 2019 | 5,666 |
| 3 | Deep Sparse Rectifier Neural Networks Xavier Glorot, Antoine Bordes, Yoshua Bengio | 11 Apr 2011 | 5,420 |
| 4 | Quantum machine learning Jacob Biamonte, Péter Wittek, Nicola Pancotti et al. · Nature | Sep 2017 | 4,771 |
| 5 | A variational eigenvalue solver on a photonic quantum processor Alberto Peruzzo, Jarrod R. McClean, Peter Shadbolt et al. · Nature Communications | 23 Jul 2014 | 4,756 |
| 6 | A Learning Algorithm for Continually Running Fully Recurrent Neural Networks Ronald J. Williams, David Zipser · Neural Computation | Jun 1989 | 4,504 |
| 7 | Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication Herbert Jaeger, Harald Haas · Science | Apr 2004 | 3,897 |
| 8 | Topological photonics Tomoki Ozawa, Hannah M. Price, Alberto Amo et al. · Reviews of Modern Physics | 25 Mar 2019 | 3,735 |
| 9 | Multidimensional quantum well laser and temperature dependence of its threshold current Yasuhiko Arakawa, H. Sakaki · Applied Physics Letters | Jun 1982 | 3,353 |
| 10 | Deep learning with coherent nanophotonic circuits Yichen Shen, Nicholas C. Harris, Scott A. Skirlo et al. · Nature Photonics | 12 Jun 2017 | 3,218 |
| 11 | Reservoir computing approaches to recurrent neural network training Mantas Lukoševičius, Herbert Jaeger · Computer Science Review | 14 May 2009 | 3,015 |
| 12 | Linear optical quantum computing with photonic qubits Pieter Kok, William J. Munro, Kae Nemoto et al. · Reviews of Modern Physics | 24 Jan 2007 | 2,888 |
| 13 | All-optical machine learning using diffractive deep neural networks Xing Lin, Yair Rivenson, Nezih Tolga Yardimci et al. · Science | 26 Jul 2018 | 2,588 |
| 14 | Event-Based Vision: A Survey Guillermo Gallego, Tobi Delbruck, Garrick Orchard et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 10 Jul 2020 | 2,292 |
| 15 | Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks Chen Zhang, Peng Li, Guangyu Sun et al. | 10 Feb 2015 | 2,163 |
| 16 | Recent advances in physical reservoir computing: A review Gouhei Tanaka, Toshiyuki Yamane, J. B. Héroux et al. · Neural Networks | 20 Mar 2019 | 2,156 |
| 17 | Bidirectional associative memories Bart Kosko · IEEE Transactions on Systems Man and Cybernetics | 1988 | 2,078 |
| 18 | A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition Matthew O. Williams, Ioannis G. Kevrekidis, Clarence W. Rowley · Journal of Nonlinear Science | 4 Jun 2015 | 1,929 |
| 19 | Deep Learning for Hyperspectral Image Classification: An Overview Shutao Li, Weiwei Song, Leyuan Fang et al. · IEEE Transactions on Geoscience and Remote Sensing | 27 Apr 2019 | 1,904 |
| 20 | The importance of mixed selectivity in complex cognitive tasks Mattia Rigotti, Omri Barak, Melissa R. Warden et al. · Nature | May 2013 | 1,854 |
| 21 | The Fully Informed Particle Swarm: Simpler, Maybe Better Rui Mendes, James C. Kennedy, José Neves · IEEE Transactions on Evolutionary Computation | Jun 2004 | 1,753 |
| 22 | Information processing using a single dynamical node as complex system Lennert Appeltant, Miguel C. Soriano, Guy Van der Sande et al. · Nature Communications | 13 Sep 2011 | 1,740 |
| 23 | Photonics for artificial intelligence and neuromorphic computing Bhavin J. Shastri, Alexander N. Tait, T. Ferreira de Lima et al. · Nature Photonics | 29 Jan 2021 | 1,708 |
| 24 | Quantum circuit learning Kosuke Mitarai, Makoto Negoro, Masahiro Kitagawa et al. · Physical Review A | 10 Sep 2018 | 1,682 |
| 25 | Parallel convolutional processing using an integrated photonic tensor core J. Feldmann, N. Youngblood, M. Karpov et al. · Nature | 6 Jan 2021 | 1,670 |
| 26 | Chiral quantum optics Peter Lodahl, Sahand Mahmoodian, Søren Stobbe et al. · Nature | 2017 | 1,663 |
| 27 | Architecture for a large-scale ion-trap quantum computer D. Kielpinski, Christopher R. Monroe, David J. Wineland · Nature | Jun 2002 | 1,630 |
| 28 | Improved simulation of stabilizer circuits Scott Aaronson, Daniel Gottesman · Physical Review A | 30 Nov 2004 | 1,604 |
| 29 | All-optical spiking neurosynaptic networks with self-learning capabilities Johannes Feldmann, Nathan Youngblood, C. David Wright et al. · Nature | 8 May 2019 | 1,559 |
| 30 | Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks Emre Neftci, Hesham Mostafa, Friedemann Zenke · IEEE Signal Processing Magazine | Nov 2019 | 1,550 |
| 31 | 11 TOPS photonic convolutional accelerator for optical neural networks Xingyuan Xu, Mengxi Tan, Bill Corcoran et al. · Nature | 6 Jan 2021 | 1,538 |
| 32 | Surrogate time series Thomas Schreiber, Andreas Schmitz · Physica D Nonlinear Phenomena | Aug 2000 | 1,528 |
| 33 | Integrated photonic quantum technologies Jianwei Wang, Fabio Sciarrino, Anthony Laing et al. · Nature Photonics | 21 Oct 2019 | 1,473 |
| 34 | Whispering-gallery mode microdisk lasers S. L. McCall, Anthony F. J. Levi, R. E. Slusher et al. · Applied Physics Letters | 20 Jan 1992 | 1,447 |
| 35 | Integrated microwave photonics David A. I. Marpaung, Jianping Yao, J. Capmany · Nature Photonics | 9 Jan 2019 | 1,395 |
| 36 | Neuromorphic computing with nanoscale spintronic oscillators Jacob Torrejón, Mathieu Riou, Flavio Abreu Araujo et al. · Nature | Jul 2017 | 1,389 |
| 37 | Programmable photonic circuits Wim Bogaerts, Daniel Pérez, J. Capmany et al. · Nature | 7 Oct 2020 | 1,381 |
| 38 | A Resource-Allocating Network for Function Interpolation John C. Platt · Neural Computation | Jun 1991 | 1,360 |
| 39 | Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach Jaideep Pathak, Brian R. Hunt, Michelle Girvan et al. · Physical Review Letters | 12 Jan 2018 | 1,349 |
| 40 | Optoelectronic resistive random access memory for neuromorphic vision sensors Feichi Zhou, Zheng Zhou, Jiewei Chen et al. · Nature Nanotechnology | 15 Jul 2019 | 1,327 |
| 41 | Photonic Spin Hall Effect at Metasurfaces Xiaobo Yin, Ziliang Ye, Junsuk Rho et al. · Science | 21 Mar 2013 | 1,309 |
| 42 | Nanoelectronic Programmable Synapses Based on Phase Change Materials for Brain-Inspired Computing Duygu Kuzum, Rakesh Gnana David Jeyasingh, Byoungil Lee et al. · Nano Letters | 14 Jun 2011 | 1,270 |
| 43 | Particle swarm optimization with particles having quantum behavior Jun Jie Sun, Feng Bin, Wenbo Xu | 28 Sep 2004 | 1,256 |
| 44 | Optical Quantum Computing Jeremy L. O’Brien · Science | 6 Dec 2007 | 1,222 |
| 45 | On-chip generation of high-dimensional entangled quantum states and their coherent control Michael Kues, Christian Reimer, Piotr Roztocki et al. · Nature | Jun 2017 | 1,209 |
| 46 | Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures Dianjing Liu, Yixuan Tan, Erfan Khoram et al. · ACS Photonics | 25 Feb 2018 | 1,190 |
| 47 | Measuring entanglement entropy in a quantum many-body system Rajibul Islam, Ruichao Ma, Philipp M. Preiss et al. · Nature | Dec 2015 | 1,190 |
| 48 | Characterizing quantum supremacy in near-term devices Sergio Boixo, Sergei V. Isakov, Vadim Smelyanskiy et al. · Nature Physics | 20 Apr 2018 | 1,189 |
| 49 | Realizing effective magnetic field for photons by controlling the phase of dynamic modulation Kejie Fang, Zongfu Yu, Shanhui Fan · Nature Photonics | 5 Oct 2012 | 1,183 |
| 50 | Generating Coherent Patterns of Activity from Chaotic Neural Networks David Sussillo, L. F. Abbott · Neuron | Aug 2009 | 1,178 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.