Qunou Jiang
Dados Biográficos
| ID | 9445744 |
|---|---|
| NOME | Qunou Jiang |
| PRENOMES | Qunou |
| SOBRENOME | Jiang |
| ASSINATURA | JIANG Q |
| AFILIAÇÕES | Beijing Forestry University |
| ORCID | 0000-0001-7177-9523 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2020 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 0 |
Application of Graph Convolutional Neural Networks and multi-sources data on urban functional zones identification, A case study of Changchun, China
Urban functional zones (UFZs) identification is integral to comprehensive city management. However, current methods often fail to effectively leverage multiple data sources to enhance identification accuracy and overlook the spatial interconnections between neighboring units. In this study, we employed a Graph Convolutional Neural Networks (GCNNs) model to consolidate information from adjacent units and enhance the accuracy of UFZs identification…
Payments for ecosystem services as an essential approach to improving ecosystem services
Analysis on net primary productivity change of forests and its multi–level driving mechanism – A case study in Changbai Mountains in Northeast China
Sem obras proeminentes nesta página.
Analysis on net primary productivity change of forests and its multi–level driving mechanism – A case study in Changbai Mountains in Northeast China
Payments for ecosystem services as an essential approach to improving ecosystem services
Application of Graph Convolutional Neural Networks and multi-sources data on urban functional zones identification, A case study of Changchun, China
Urban functional zones (UFZs) identification is integral to comprehensive city management. However, current methods often fail to effectively leverage multiple data sources to enhance identification accuracy and overlook the spatial interconnections between neighboring units. In this study, we employed a Graph Convolutional Neural Networks (GCNNs) model to consolidate information from adjacent units and enhance the accuracy of UFZs identification…
China (2 obras) · Conservation, Biodiversity, and Resource Management (2 obras) · Ecology (2 obras) · Ecosystem (2 obras) · Environmental resource management (2 obras) · Geography (2 obras) · Land Use and Ecosystem Services (2 obras) · Artificial Intelligence (1 obras) · Biology (1 obras) · Business (1 obras)