Standout Papers

DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems 2020 2026 2022 2024326
  1. DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems (2020)
    Beibei Li, Yuhao Wu et al. IEEE Transactions on Industrial Informatics

Citation Impact

56 standout
Sub-graph 1 of 24

Citing Papers

Progress, challenge and perspective of graphite-based anode materials for lithium batteries: A review
2024 Standout
Deep learning enabled intrusion detection system for Industrial IOT environment
2024 Standout

Works of Beibei Li being referenced

DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems
2020 Standout
Preparation of nanographite sheets supported Si nanoparticles by in situ reduction of fumed SiO 2 with magnesium for lithium ion battery
2015

Author Peers

Author Artificial Intelligence CNC EEE CSE Last Decade Papers Cites
Beibei Li 645 691 410 544 109 1.7k
M.S.Y. Haddadin 21 37 920
Eric Novik 2 16 2 17 862
Jacqueline Itnyre 3 9 1.9k
Charlene S. Shannon 1 1 26 410
Stephen V. Musolino 4 7 24 363

All Works

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2026