Standout Papers

LSTM Fully Convolutional Networks for Time Series Classification 2017 2026 2020 2023 770
  1. LSTM Fully Convolutional Networks for Time Series Classification (2017)
    Fazle Karim, Somshubra Majumdar et al. IEEE Access

Immediate Impact

52 standout
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Citing Papers

Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City
2025 Standout
A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges
2025 Standout
1 intermediate paper

Works of Shun Chen being referenced

A hybrid deep learning architecture for wind power prediction based on bi-attention mechanism and crisscross optimization
2021
LSTM Fully Convolutional Networks for Time Series Classification
2017 Standout

Author Peers

Author Last Decade Papers Cites
Shun Chen 345 111 86 240 162 14 978
Martin Längkvist 300 172 58 201 156 21 1.1k
Ailing Zeng 324 162 42 273 233 13 938
Samaneh Aminikhanghahi 241 147 83 156 86 8 794
Alaa Sagheer 247 65 43 139 216 22 959
Hesam Izakian 464 107 74 260 62 15 830
Jerome T. Connor 350 69 50 122 199 7 868
Thomas Burr 214 109 97 73 79 7 819
John Berkowitz 378 173 24 127 192 3 1.1k
Emmanuel Pintelas 260 103 158 119 172 24 898
Akshansh Gupta 363 214 31 118 152 12 1.1k

All Works

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2026