Standout Papers

Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated movin... 2022 2026 2023 2024137
  1. Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends (2022)
    K.E. ArunKumar, Dinesh V. Kalaga et al. Alexandria Engineering Journal

Immediate Impact

32 standout
Sub-graph 1 of 14

Citing Papers

Comprehensive survey of artificial intelligence techniques and strategies for climate change mitigation
2024 Standout
Spatio-temporal deep learning model for accurate streamflow prediction with multi-source data fusion
2024 Standout
2 intermediate papers

Works of K.E. ArunKumar being referenced

Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends
2022 Standout
Forecasting of COVID-19 using deep layer Recurrent Neural Networks (RNNs) with Gated Recurrent Units (GRUs) and Long Short-Term Memory (LSTM) cells
2021

Author Peers

Author Last Decade Papers Cites
K.E. ArunKumar 89 73 51 109 78 8 442
Sarbjit Singh 82 60 73 99 68 14 437
Futian Weng 52 24 114 157 82 24 455
Anuradha Tomar 168 110 97 105 106 42 437
Tanujit Chakraborty 197 91 118 145 60 32 510
Warda M. Shaban 26 152 8 189 41 21 407
Tianlu Gao 46 34 29 160 173 20 492
Youssoufa Mohamadou 79 87 24 77 87 18 392
Amal I. Saba 139 162 45 157 44 8 430
Marcos Antônio Alves 181 61 66 80 18 14 402
Hong Long 86 154 16 100 20 17 439

All Works

Loading papers...

Rankless by CCL
2026