Standout Papers

Data Augmentation techniques in time series domain: a survey and taxonomy 2023 2026 2024111
  1. Data Augmentation techniques in time series domain: a survey and taxonomy (2023)
    Guillermo Iglesias, Edgar Talavera et al. Neural Computing and Applications

Immediate Impact

17 standout
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Citing Papers

Spatio-temporal deep learning model for accurate streamflow prediction with multi-source data fusion
2024 Standout
Small data challenges for intelligent prognostics and health management: a review
2024 Standout
1 intermediate paper

Works of Sandra Gómez-Canaval being referenced

Data Augmentation techniques in time series domain: a survey and taxonomy
2023 Standout
Forecasting short-term data center network traffic load with convolutional neural networks
2018

Author Peers

Author Last Decade Papers Cites
Sandra Gómez-Canaval 122 18 80 73 24 337
Safa Ben Atitallah 134 4 120 50 15 388
Yan Liu 169 5 80 70 34 389
Himansu Das 155 24 77 31 29 371
Saket Sathe 225 8 105 82 22 360
Youssef Ghanou 154 16 32 41 15 400
M. Z. Rashad 132 5 65 30 40 375
Gang Xiao 61 1 28 43 35 310
Wattanapong Kurdthongmee 77 1 55 20 28 347
Timo Müller 81 5 36 21 17 409
Usman M. Gana 112 16 33 25 14 410

All Works

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2026