Standout Papers

Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Comp... 2017 2026 2020 2023 713
  1. Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach (2018)
    Jaideep Pathak, Brian R. Hunt et al. Physical Review Letters
  2. Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data (2017)
    Jaideep Pathak, Zhixin Lu et al. Chaos An Interdisciplinary Journal of Nonlinear Science

Immediate Impact

4 by Nobel laureates 34 from Science/Nature 74 standout
Sub-graph 1 of 22

Citing Papers

Open-ST: High-resolution spatial transcriptomics in 3D
2024 Standout
Emerging opportunities and challenges for the future of reservoir computing
2024 Standout
2 intermediate papers

Works of Zhixin Lu being referenced

Teaching recurrent neural networks to infer global temporal structure from local examples
2021
Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach
2018 Standout
and 2 more

Author Peers

Author Last Decade Papers Cites
Zhixin Lu 669 433 1213 434 23 2.3k
Mairi Clarke 36 80 673 87 40 3.6k
Boaz Nadler 433 247 719 228 69 3.9k
Volker Röth 64 212 797 53 105 3.3k
John D. Owens 91 66 518 592 78 4.0k
Fathalla A. Rihan 458 25 200 146 133 3.0k
Christopher R. Myers 446 256 235 108 80 4.7k
Gouhei Tanaka 570 666 1350 1164 65 2.5k
W. Daniel Hillis 44 67 676 298 51 2.5k
Yong Zou 1734 705 315 104 148 4.6k
Gunnar Carlsson 215 403 335 135 97 4.8k

All Works

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Rankless by CCL
2026