Data Fusion Networks is a computational framework that integrates heterogeneous data streams from distributed sources through structured network topologies to enhance inference accuracy, distinguished by its capability to model cross-modal dependencies and reduce information redundancy in network-based integration systems.
38
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1.6K
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138
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68
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2017–2026
26
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Publications
38
Design and implementation of a large-scale context fusion network
Guanling Chen, Ming Li, David Kotz · 2004 · 109 citations
1–5 of 38
Authors
138
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1–5 of 138
Institutions
68
Northwestern Polytechnical University
Xi'an, China
3 h-index
3 publications
176 citations
Dartmouth College
Hanover, United States
2 h-index
5 publications
393 citations
Shanghai Jiao Tong University
Shanghai, China
2 h-index
8 publications
300 citations
Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
2 publications
122 citations
Xi'an Jiaotong University
Xi'an, China
2 h-index
5 publications
181 citations
Chungbuk National University
Cheongju-si, South Korea
1 h-index
1 publications
20 citations
Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
2 publications
212 citations
Institute for Language and Speech Processing
Marousi, Greece
1 h-index
2 publications
70 citations
1–8 of 68
Venues
- Computers in Biology and Medicine
2 publications · 41 citations
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- Remote Sensing
2 publications · 46 citations
2
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- Engineering Applications of Artificial Intelligence
1 publications · 117 citations
1
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- UCL Discovery (University College London)
Repository · 1 publications · 21 citations
1
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- International Journal of Remote Sensing
1 publications · 22 citations
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