Standout Papers

Deep Learning for Time Series Forecasting: A Survey 2020 2026 2022 2024366
  1. Deep Learning for Time Series Forecasting: A Survey (2020)
    J. F. Torres, Dalil Hadjout et al. Big Data

Immediate Impact

57 standout
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Citing Papers

Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges
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A systematic review for transformer-based long-term series forecasting
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1 intermediate paper

Works of Abderrazak Sebaa being referenced

Deep Learning for Time Series Forecasting: A Survey
2020 Standout

Author Peers

Author Last Decade Papers Cites
Abderrazak Sebaa 49 54 87 171 136 13 523
Ella Pereira 35 51 85 150 126 26 552
Youru Li 35 20 72 112 152 19 464
Chaoli Zhang 28 53 148 160 193 13 585
Neamat El Gayar 36 22 90 97 127 21 619
C. Narendra Babu 28 20 35 190 100 17 468
Pan Wang 51 54 92 129 101 23 564
Fan-Keng Sun 15 27 161 176 201 7 562
Ziqing Ma 11 28 116 103 145 11 506
Lorenzo Stella 12 28 159 98 150 10 540
Ratnadip Adhikari 20 22 48 234 127 11 487

All Works

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2026