Edge Intelligence is a computational paradigm that integrates artificial intelligence models and data processing capabilities at the network edge, enabling real-time, localized decision-making by leveraging distributed edge devices and infrastructure while minimizing reliance on centralized cloud resources.
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107.8K
Citations
4.9K
Authors
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Publications per year
2017–2026
1.3K
Publications
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Edge Computing: Vision and Challenges
Weisong Shi, Jie Cao, Quan Zhang et al. · IEEE Internet of Things Journal · 2016 · 7.9K citations
Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
Zhi Zhou, Xu Chen, En Li et al. · Proceedings of the IEEE · 2019 · 2.2K citations · Full text
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- FR
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- ZZ
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- WS
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Institutions
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Beijing University of Posts and Telecommunications
Beijing, China
30 h-index
128 publications
10.8K citations
Huazhong University of Science and Technology
Wuhan, China
29 h-index
94 publications
9.3K citations
Xidian University
Xi'an, China
28 h-index
83 publications
8.2K citations
University of Electronic Science and Technology of China
Chengdu, China
27 h-index
94 publications
9.9K citations
Hong Kong Polytechnic University
Hong Kong, Hong Kong
26 h-index
68 publications
6.7K citations
King Saud University
Riyadh, Saudi Arabia
26 h-index
51 publications
5.2K citations
Nanyang Technological University
Singapore, Singapore
26 h-index
81 publications
18.6K citations
Tsinghua University
Beijing, China
25 h-index
100 publications
11.6K citations
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Venues
- IEEE Internet of Things Journal
88 publications · 17.5K citations
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- IEEE Access
62 publications · 5.8K citations
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- IEEE Network
59 publications · 7.6K citations
36
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- Sensors
39 publications · 2.5K citations
27
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- IEEE Transactions on Industrial Informatics
31 publications · 3.1K citations
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