Multisource Data Fusion is a methodological framework that integrates heterogeneous data from multiple distinct sources into a unified representation to enhance the accuracy, robustness, and reliability of analyses within domains such as Gastrointestinal Syndrome Surveillance and Land Cover Classification.
697
Publications
34.3K
Citations
2.9K
Authors
965
Institutions
Publications per year
2017–2026
495
Variants
Multi-source Data Fusion
Publications
697
1–5 of 697
Authors
2.9K
- WL
11
h-index
- MZ
11
h-index
- QD
10
h-index
- RT
10
h-index
- JA
8
h-index
1–5 of 2.9K
Institutions
965
Wuhan University
Wuhan, China
21 h-index
30 publications
1.4K citations
Chinese Academy of Sciences
Beijing, China
20 h-index
38 publications
1.4K citations
University of Chinese Academy of Sciences
Beijing, China
18 h-index
24 publications
1.3K citations
Mississippi State University
Starkville, United States
14 h-index
15 publications
1.7K citations
Beijing Institute of Technology
Beijing, China
12 h-index
13 publications
1.2K citations
Chongqing University
Chongqing, China
12 h-index
13 publications
585 citations
Tsinghua University
Beijing, China
12 h-index
14 publications
871 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
12 h-index
14 publications
573 citations
1–8 of 965
Venues
- IEEE Transactions on Geoscience and Remote Sensing
42 publications · 4.5K citations
29
h-index
- Remote Sensing
35 publications · 1.9K citations
23
h-index
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
29 publications · 1.1K citations
22
h-index
- Information Fusion
15 publications · 811 citations
13
h-index
- International Journal of Remote Sensing
15 publications · 1.8K citations
13
h-index
1–5