Standout Papers

A Review of Physics-Informed Machine Learning in Fluid Mechanics 2023 2026 202494
  1. A Review of Physics-Informed Machine Learning in Fluid Mechanics (2023)
    Wai Tong Chung, Bassem Akoush et al. Energies

Immediate Impact

7 standout
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Citing Papers

Analyzing magnetic dipole impact in fluid flow with endothermic/exothermic reactions: neural network simulation
2024 Standout
A comprehensive review of green hydrogen energy systems
2024 Standout
1 intermediate paper

Works of Bassem Akoush being referenced

A Review of Physics-Informed Machine Learning in Fluid Mechanics
2023 Standout
An intuitive framework for optimizing energetic and exergetic performances of parabolic trough solar collectors operating with nanofluids
2020

Author Peers

Author Last Decade Papers Cites
Bassem Akoush 78 41 77 66 9 261
Ziyaddin Recebli 109 7 70 22 16 333
J. Cadafalch 98 15 132 24 16 296
Liang Zhang 80 4 45 17 12 326
Zhicheng Wang 65 4 14 42 13 252
Linjuan Gong 25 15 59 57 11 284
Rui Wu 66 5 24 39 9 304
H.F. Sullivan 113 20 94 20 14 307
A. Bello-García 44 12 34 38 22 290
A. Parrales 20 5 151 79 20 310
J.-C. Mayor 21 4 95 43 9 280

All Works

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2026