| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
Eng. Comput.
|
| 2025 | J | jnl |
Comput. Phys. Commun.
|
| 2024 | J | jnl |
Physics-informed neural network for turbulent flow reconstruction in composite porous-fluid systems.
Mach. Learn. Sci. Technol.
|
| 2024 | J | jnl |
Entropy
|
| 2023 | J | jnl |
Sensors
|
| 2020 | J | jnl |
Adv. Eng. Softw.
|
| 2020 | J | jnl |
Comput. Phys. Commun.
|
| 2019 | J | jnl |
Comput. Phys. Commun.
|
| 2018 | J | jnl |
Adv. Eng. Softw.
|
| 2018 | J | jnl |
SoftwareX
|
| 2017 | J | jnl |
Adv. Eng. Softw.
|
| 2016 | — | conf |
BIODEVICES
|
| 2014 | J | jnl |
J. Comput. Phys.
|
| 2014 | J | jnl |
Comput. Phys. Commun.
|
| 2013 | J | jnl |
CoRR
|