Standout Papers

Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D... 2019 2026 2021 2023 364
  1. Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks (2019)
    Georgios Kissas, Yibo Yang et al. Computer Methods in Applied Mechanics and Engineering

Immediate Impact

3 from Science/Nature 68 standout
Sub-graph 1 of 18

Citing Papers

Variational Physics-informed Neural Operator (VINO) for solving partial differential equations
2025 Standout
A guidance to intelligent metamaterials and metamaterials intelligence
2025 Standout
1 intermediate paper

Works of Eileen Hwuang being referenced

Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks
2019 Standout

Author Peers

Author Last Decade Papers Cites
Eileen Hwuang 63 57 18 223 110 11 415
Georgios Kissas 36 42 3 242 113 5 397
Pasquale Claudio Africa 76 315 48 86 21 484
Tomer Anor 59 116 16 24 100 13 426
Stefania Fresca 5 48 1 347 171 20 463
Zongren Zou 18 2 2 214 52 14 434
I. Alfaro 9 5 216 142 7 462
Pierre A. Gremaud 41 123 17 184 39 468
Jagadeesh R. Sonnad 28 2 2 54 64 17 487
Marc Fehling 12 36 34 219 9 459
Alex A. Kaszynski 23 10 16 42 24 424

All Works

Loading papers...

Rankless by CCL
2026