Immediate Impact
3 from Science/Nature 80 standout
Citing Papers
A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities
2024 Standout
Respecting causality for training physics-informed neural networks
2024 Standout
Works of Ignacio Tomaš being referenced
Thermodynamically consistent physics-informed neural networks for hyperbolic systems
2021
Thermodynamically consistent physics-informed neural networks for hyperbolic systems.
2021
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Ignacio Tomaš | 265 | 49 | 62 | 92 | 14 | 411 | |
| Matthew J. Colbrook | 116 | 44 | 68 | 127 | 32 | 447 | |
| Yana Di | 208 | 79 | 38 | 31 | 26 | 344 | |
| Haijun Yu | 223 | 54 | 29 | 46 | 30 | 423 | |
| Hoang Tran | 282 | 61 | 46 | 26 | 24 | 380 | |
| Yiming Lou | 158 | 27 | 49 | 38 | 20 | 436 | |
| Lung-an Ying | 118 | 101 | 35 | 41 | 22 | 455 | |
| Benjamin Uekérmann | 288 | 33 | 23 | 46 | 27 | 456 | |
| Louis A. Bauer | 90 | 69 | 50 | 41 | 12 | 400 | |
| Guojian Lin | 95 | 16 | 63 | 88 | 30 | 446 | |
| Andrew T. Barker | 272 | 44 | 42 | 43 | 17 | 428 |
All Works
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