Standout Papers

Learning the solution operator of parametric partial differential equations with physics-informed DeepONets 2021 2026 2022 2024369
  1. Learning the solution operator of parametric partial differential equations with physics-informed DeepONets (2021)
    Sifan Wang, Hanwen Wang et al. Science Advances
  2. On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks (2021)
    Sifan Wang, Hanwen Wang et al. Computer Methods in Applied Mechanics and Engineering

Immediate Impact

3 from Science/Nature 73 standout
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Citing Papers

Variational Physics-informed Neural Operator (VINO) for solving partial differential equations
2025 Standout
DeepOKAN: Deep operator network based on Kolmogorov Arnold networks for mechanics problems
2025 Standout

Works of Hanwen Wang being referenced

Learning the solution operator of parametric partial differential equations with physics-informed DeepONets
2021 Standout

Author Peers

Author Last Decade Papers Cites
Hanwen Wang 532 231 26 168 10 768
Bing Yu 598 278 48 138 7 762
David A. Barajas‐Solano 412 163 11 123 28 772
Khemraj Shukla 285 132 32 155 29 752
Deep Ray 415 359 36 89 20 668
Chengping Rao 322 139 41 97 13 664
Adrian Moure 386 148 15 62 14 800
Mengwu Guo 450 205 14 61 21 678
Kamyar Azizzadenesheli 224 127 62 237 28 827
G. Tartakovsky 318 136 10 78 13 726
Bryan Glaz 210 275 4 100 34 811

All Works

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2026