| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
Interpretable deep learning hybrid streamflow prediction modeling based on multi-source data fusion.
Environ. Model. Softw.
|
| 2025 | J | jnl |
Evol. Syst.
|
| 2025 | J | jnl |
Concurr. Comput. Pract. Exp.
|
| 2025 | J | jnl |
High Confid. Comput.
|
| 2025 | J | jnl |
CoRR
|
| 2024 | J | jnl |
Environ. Model. Softw.
|
| 2024 | J | jnl |
Microelectron. J.
|
| 2024 | J | jnl |
Int. J. Inf. Commun. Technol.
|
| 2024 | J | jnl |
Environ. Model. Softw.
|
| 2019 | J | jnl |
Comput. Electron. Agric.
|
| 2012 | — | conf |
AsiaSim (1)
|