Urban Data Fusion is a methodological framework that integrates heterogeneous spatial and temporal urban datasets from multiple sources into a coherent, unified representation to support accurate and comprehensive 3D city modeling.
135
Publications
8.3K
Citations
601
Authors
234
Institutions
Publications per year
2017–2026
108
Parents
Publications
135
Yu Zheng, Licia Capra, Ouri Wolfson et al. · ACM Transactions on Intelligent Systems and Technology · 2014 · 1.3K citations
The six dimensions of built environment on urban vitality: Fusion evidence from multi-source data
Xin Li, Yuan Li, Tao Jia et al. · Cities · 2021 · 271 citations
Urban big data fusion based on deep learning: An overview
Jia Liu, Tianrui Li, Peng Xie et al. · Information Fusion · 2019 · 263 citations
1–5 of 135
Authors
601
- YZ
6
h-index
- XH
4
h-index
- YL
4
h-index
- GJ
3
h-index
- JH
3
h-index
1–5 of 601
Institutions
234
Wuhan University
Wuhan, China
8 h-index
26 publications
2.7K citations
Tsinghua University
Beijing, China
8 h-index
16 publications
945 citations
Sun Yat-sen University
Guangzhou, China
7 h-index
17 publications
1K citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
6 h-index
23 publications
368 citations
Technical University of Munich
Munich, Germany
6 h-index
14 publications
404 citations
Shenzhen Institutes of Advanced Technology
Shenzhen, China
5 h-index
6 publications
442 citations
Central South University
Changsha, China
5 h-index
15 publications
941 citations
Yunnan University
Kunming, China
4 h-index
12 publications
427 citations
1–8 of 234
Venues
- Transportation Research Part C Emerging Technologies
6 publications · 452 citations
6
h-index
- ISPRS International Journal of Geo-Information
IJGI · 6 publications · 174 citations
6
h-index
- Remote Sensing
6 publications · 213 citations
6
h-index
- Information Fusion
5 publications · 708 citations
5
h-index
- ISPRS Journal of Photogrammetry and Remote Sensing
5 publications · 290 citations
5
h-index
1–5