| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
Int. J. Geogr. Inf. Sci.
|
| 2026 | J | jnl |
Int. J. Geogr. Inf. Sci.
|
| 2025 | J | jnl |
Trans. GIS
|
| 2025 | J | jnl |
IEEE Trans. Geosci. Remote. Sens.
|
| 2025 | J | jnl |
IEEE Trans. Geosci. Remote. Sens.
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
Comput. Environ. Urban Syst.
|
| 2025 | J | jnl |
Comput. Environ. Urban Syst.
|
| 2025 | J | jnl |
CoRR
|
| 2025 | — | conf |
GeoAI@SIGSPATIAL
|
| 2025 | J | jnl |
Int. J. Geogr. Inf. Sci.
|
| 2024 | J | jnl |
Int. J. Appl. Earth Obs. Geoinformation
|
| 2024 | J | jnl |
Int. J. Appl. Earth Obs. Geoinformation
|
| 2024 | J | jnl |
Trans. GIS
|
| 2024 | J | jnl |
Int. J. Geogr. Inf. Sci.
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
Remote. Sens.
|
| 2024 | J | jnl |
Predicting the locations of missing persons in China by using NGO data and deep learning techniques.
Int. J. Digit. Earth
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
EPJ Data Sci.
|
| 2023 | J | jnl |
Int. J. Geogr. Inf. Sci.
|
| 2023 | J | jnl |
Int. J. Digit. Earth
|
| 2023 | J | jnl |
Trans. GIS
|
| 2023 | J | jnl |
Trans. GIS
|
| 2023 | J | jnl |
Int. J. Appl. Earth Obs. Geoinformation
|
| 2023 | J | jnl |
Int. J. Geogr. Inf. Sci.
|
| 2023 | J | jnl |
Int. J. Geogr. Inf. Sci.
|
| 2023 | J | jnl |
Comput. Environ. Urban Syst.
|
| 2022 | J | jnl |
CoRR
|
| 2022 | J | jnl |
Inf. Sci.
|
| 2022 | J | jnl |
Int. J. Appl. Earth Obs. Geoinformation
|
| 2022 | J | jnl |
ISPRS Int. J. Geo Inf.
|
| 2022 | J | jnl |
CoRR
|
| 2022 | — | conf |
GeoAI@SIGSPATIAL
|
| 2021 | J | jnl |
Remote. Sens.
|
| 2021 | J | jnl |
CoRR
|
| 2019 | J | jnl |
Remote. Sens.
|