Standout Papers

Deep reinforcement learning for predictive aircraft maintenance using probabilistic Remaining-Useful-Life prognostics 2022 2026 2023 2024104
  1. Deep reinforcement learning for predictive aircraft maintenance using probabilistic Remaining-Useful-Life prognostics (2022)
    Juseong Lee, Mihaela Mitici Reliability Engineering & System Safety

Immediate Impact

35 standout
Sub-graph 1 of 15

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 Juseong Lee being referenced

Deep reinforcement learning for predictive aircraft maintenance using probabilistic Remaining-Useful-Life prognostics
2022 Standout

Author Peers

Author Last Decade Papers Cites
Juseong Lee 112 24 51 101 12 278
Leonardo Ramos Rodrigues 83 14 31 116 28 273
Marie‐Christine Suhner 94 44 54 103 12 243
Ingeborg de Pater 149 30 44 174 11 286
Xuewen Miao 82 16 31 128 6 262
Ivo Paixão de Medeiros 104 15 46 173 7 307
Guixiang Shen 54 14 46 31 25 224
Qi Wang 68 9 23 158 26 306
Marcel Kettelgerdes 31 8 16 95 12 259
Elena Quatrini 51 10 30 72 9 296
Minglan Xiong 58 3 25 80 13 259

All Works

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2026