Standout Papers

A survey on anomaly detection for technical systems using LSTM networks 2021 2026 2022 2024194
  1. A survey on anomaly detection for technical systems using LSTM networks (2021)
    B. Lindemann, Benjamin Maschler et al. Computers in Industry

Immediate Impact

65 standout
Sub-graph 1 of 23

Citing Papers

Effectively detecting and diagnosing distributed multivariate time series anomalies via Unsupervised Federated Hypernetwork
2025 Standout
Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges
2025 Standout
2 intermediate papers

Works of Nada Sahlab being referenced

A survey on anomaly detection for technical systems using LSTM networks
2021 Standout
An architecture of an Intelligent Digital Twin in a Cyber-Physical Production System
2019

Author Peers

Author Last Decade Papers Cites
Nada Sahlab 78 26 176 109 13 405
Wenjin Yu 89 30 162 118 13 452
Benjamin Maschler 63 30 101 149 15 367
P Kumar 42 35 110 92 10 421
Timo Müller 36 32 99 81 17 409
Thumeera R. Wanasinghe 61 25 139 34 10 401
Nikolaos Papakonstantinou 43 8 186 55 22 359
Sohaib Aslam 62 9 108 42 20 376
Patricia Derler 121 14 84 97 10 429
A.L.P. Chen 88 63 71 139 23 407
Haifeng Wang 44 11 130 75 28 392

All Works

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2026