Standout Papers

DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series 2018 2026 2020 2023 311
  1. DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series (2018)
    Mohsin Munir, Shoaib Ahmed Siddiqui et al. IEEE Access

Immediate Impact

68 standout
Sub-graph 1 of 20

Citing Papers

Applications of artificial intelligence for energy efficiency throughout the building lifecycle: An overview
2024 Standout
A review on enhancing energy efficiency and adaptability through system integration for smart buildings
2024 Standout
3 intermediate papers

Works of Mohsin Munir being referenced

FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models
2019
DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series
2018 Standout

Author Peers

Author Last Decade Papers Cites
Mohsin Munir 327 49 14 180 172 9 436
Bo Zong 371 43 45 210 172 15 485
Ángel Conde 272 41 23 119 110 14 495
Cristian Lumezanu 310 23 24 178 192 11 408
Zekai Chen 302 67 22 157 163 18 457
Donghwoon Kwon 337 38 32 156 304 6 458
Kanoksri Sarinnapakorn 294 37 34 87 164 11 372
Maciej Jaworski 316 35 34 83 55 13 466
Piotr Duda 319 35 36 85 56 17 469
Elaine R. Faria 344 47 34 140 96 14 400
Amineh Amini 255 45 37 82 85 12 419

All Works

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2026