| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2021 | J | jnl |
Geo spatial Inf. Sci.
|
| 2021 | J | jnl |
Ann. GIS
|
| 2020 | J | jnl |
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
|
| 2020 | J | jnl |
IEEE Trans. Intell. Transp. Syst.
|
| 2020 | J | jnl |
A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes.
Int. J. Geogr. Inf. Sci.
|
| 2020 | J | jnl |
Int. J. Geogr. Inf. Sci.
|
| 2020 | J | jnl |
Comput. Environ. Urban Syst.
|
| 2020 | — | — |
|
| 2020 | — | conf |
MICCAI (2)
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
Comput. Environ. Urban Syst.
|
| 2019 | J | jnl |
Comput. Aided Civ. Infrastructure Eng.
|
| 2019 | J | jnl |
Int. J. Geogr. Inf. Sci.
|
| 2017 | — | conf |
SysCon
|