Standout Papers

Learning Graph Structures with Transformer for Multivariate Time Series\n Anomaly Detection in IoT 2021 2026 2022 2024286
  1. Learning Graph Structures with Transformer for Multivariate Time Series\n Anomaly Detection in IoT (2021)
    Zekai Chen, Dingshuo Chen et al. arXiv (Cornell University)

Immediate Impact

36 standout
Sub-graph 1 of 13

Citing Papers

Hybrid Privacy Preserving Federated Learning Against Irregular Users in Next-Generation Internet of Things
2024 Standout
A Comprehensive Survey on Deep Graph Representation Learning
2024 Standout
1 intermediate paper

Works of Zekai Chen being referenced

Learning Graph Structures with Transformer for Multivariate Time Series\n Anomaly Detection in IoT
2021 Standout
FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition
2021

Author Peers

Author Last Decade Papers Cites
Zekai Chen 67 302 163 157 18 457
Sun Zhang 27 266 146 93 24 440
Ángel Conde 41 272 110 119 14 495
Mohsin Munir 49 327 172 180 9 436
Bo Zong 43 371 172 210 15 485
Jun Gao 55 171 165 64 22 391
Muhammad Ashfaq Khan 47 280 279 173 13 453
Cristian Lumezanu 23 310 192 178 11 408
Mahsa Salehi 29 253 117 118 21 375
Hadi Saboohi 35 231 43 63 14 476
Md. Sakib Bin Alam 57 143 85 34 15 506

All Works

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2026