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Chao Wu 0005
Person information
- affiliation: Nanjing University of Posts and Telecommunications, School of Geographic and Biologic Information, China
- affiliation: Nanjing University of Posts and Telecommunications, School of Internet of Things, Nanjing, China
- affiliation: Wuhan University, School of Resource and Environmental Sciences, China
Other persons with the same name
- Chao Wu — disambiguation page
- Chao Wu 0001
— Zhejiang University, School of Public Affairs, Hangzhou, China (and 1 more)
- Chao Wu 0002
- Chao Wu 0003
- Chao Wu 0004
- Chao Wu 0006
- Chao Wu 0007
- Chao Wu 0008
- Chao Wu 0009
- Chao Wu 0010 — Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Key Laboratory of Electromagnetic Radiation and Sensing Technology, Beijing, China
- Chao Wu 0011 — Chinese Academy of Sciences, Key Laboratory of Speech Acoustics and Content Understanding, Beijing, China
- Chao Wu 0012 — Yanshan University, School of Information Science and Engineering, Qinhuangdao, China
- Chao Wu 0013 — First Affiliated Hospital of Chongqing Medical University, Department of Radiology, China
- Chao Wu 0014
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2020 – today
- 2024
- [j6]Shaojun Liu
Fine-grained spatiotemporal estimation of tourism flows leveraging cross-video collaborative perception. Int. J. Geogr. Inf. Sci. 38(6): 1179-1205 (2024) - [j5]Chao Wu, Fanzong Gao
Unraveling the impact of urban form on location's irreplaceability: An analysis from the perspective of spatiotemporal heterogeneity. Trans. GIS 28(4): 701-725 (2024) - 2021
- [j4]Tianqi Qiu
Techniques for the Automatic Detection and Hiding of Sensitive Targets in Emergency Mapping Based on Remote Sensing Data. ISPRS Int. J. Geo Inf. 10(2): 68 (2021)
2010 – 2019
- 2019
- [j3]Chao Wu
Multiscale geographically and temporally weighted regression: exploring the spatiotemporal determinants of housing prices. Int. J. Geogr. Inf. Sci. 33(3): 489-511 (2019) - [j2]Mengjie Zhou
A visualization approach for discovering colocation patterns. Int. J. Geogr. Inf. Sci. 33(3): 567-592 (2019) - 2018
- [j1]Shanshan Han
Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data. ISPRS Int. J. Geo Inf. 7(4): 158 (2018)
Coauthor Index
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last updated on 2024-12-26 01:54 CET by the dblp team
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