Cross-layer Correlation
Cross-Layer Correlation is a telemetry management framework that integrates and analyzes data across multiple protocol layers by identifying temporal and causal relationships between events at different layers to enhance fault diagnosis and network performance monitoring.
19
Publications
857
Citations
60
Authors
32
Institutions
Publications per year
2017–2026
9
Parents
19
Link prediction in multiplex online social networks
Mahdi Jalili, Yasin Orouskhani, Milad Asgari Mehrabadi et al. · Royal Society Open Science · 2017 · 176 citations · Full text
Temporal Cross-Layer Correlation Mining for Action Recognition
Linchao Zhu, Hehe Fan, Yawei Luo et al. · IEEE Transactions on Multimedia · 2021 · 81 citations
Efficient Crowd Counting via Structured Knowledge Transfer
Lingbo Liu, Jiaqi Chen, Hefeng Wu et al. · 2020 · 71 citations
1–5 of 19
60
2
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 60
32
Texas A&M University
College Station, United States
2 h-index
3 publications
147 citations
Tianjin University
Tianjin, China
1 h-index
1 publications
19 citations

Supélec
Gif-sur-Yvette, France
1 h-index
2 publications
68 citations
University of Science and Technology of China
Hefei, China
1 h-index
4 publications
56 citations
RMIT University
Melbourne, Australia
1 h-index
1 publications
176 citations

Zhejiang University
Hangzhou, China
1 h-index
1 publications
81 citations
Shanghai Institute of Technology
Shanghai, China
1 h-index
1 publications
19 citations

National Taiwan University
Taipei, Taiwan
1 h-index
2 publications
68 citations
1–8 of 32
2 publications · 150 citations
2
h-index
1 publications · 132 citations
1
h-index
1 publications · 176 citations
1
h-index
TOMCCAP · 1 publications · 34 citations
1
h-index
Conference · 1 publications · 50 citations
1
h-index
1–5