Chao Wu
Orcid: 0000-0001-7159-3286Affiliations:
- Nanjing University of Posts and Telecommunications, School of Geographic and Biologic Information, China
- Nanjing University of Posts and Telecommunications, School of Internet of Things, Nanjing, China
- Wuhan University, School of Resource and Environmental Sciences, China
According to our database1,
Chao Wu
authored at least 12 papers
between 2018 and 2025.
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Bibliography
2025
Identifying Nighttime Vitality Through Multisource Geodata: An Explainable AI Perspective.
Trans. GIS, 2025
Regulating Urban Functional Shrinkage in Chinese Cities Through Morphological Optimization: A Multi-Model Framework.
Trans. GIS, 2025
2024
Unraveling the impact of urban form on location's irreplaceability: An analysis from the perspective of spatiotemporal heterogeneity.
Trans. GIS, June, 2024
Fine-grained spatiotemporal estimation of tourism flows leveraging cross-video collaborative perception.
Int. J. Geogr. Inf. Sci., June, 2024
Spatiotemporal prediction of carbon emissions using a hybrid deep learning model considering temporal and spatial correlations.
Environ. Model. Softw., 2024
2022
Local modeling of $\text{PM}_{2.5}$ concentration in Beijing-Tianjin-Hebei area: A multi-scale geographically weighted regression analysis.
Proceedings of the 29th International Conference on Geoinformatics, 2022
Classification of Urban Functional Zones by Integrating Spatial Features of VHR Satellite Images and Semantic Features of POI Data.
Proceedings of the 29th International Conference on Geoinformatics, 2022
2021
Techniques for the Automatic Detection and Hiding of Sensitive Targets in Emergency Mapping Based on Remote Sensing Data.
ISPRS Int. J. Geo Inf., 2021
2020
Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China.
Comput. Environ. Urban Syst., 2020
2019
Int. J. Geogr. Inf. Sci., 2019
Multiscale geographically and temporally weighted regression: exploring the spatiotemporal determinants of housing prices.
Int. J. Geogr. Inf. Sci., 2019
2018
Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data.
ISPRS Int. J. Geo Inf., 2018