Standout Papers

A review of deep learning for renewable energy forecasting 2019 2026 2021 2023 708
  1. A review of deep learning for renewable energy forecasting (2019)
    Huaizhi Wang, Zhenxing Lei et al. Energy Conversion and Management

Immediate Impact

56 standout
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Citing Papers

Intrusion detection in metaverse environment internet of things systems by metaheuristics tuned two level framework
2025 Standout
A review of machine learning applications in polymer composites: advancements, challenges, and future prospects
2025 Standout
2 intermediate papers

Works of Zhenxing Lei being referenced

A review of deep learning for renewable energy forecasting
2019 Standout

Author Peers

Author Last Decade Papers Cites
Zhenxing Lei 629 345 111 173 9 819
Xian Zhang 626 311 108 172 10 805
Abinet Tesfaye Eseye 683 294 191 226 17 786
Dehua Zheng 766 444 225 288 21 916
Xiangyun Qing 547 523 111 344 19 919
Yan Pei 530 280 219 140 30 875
Ayda Darvishan 532 155 179 124 8 867
José Pombo 430 366 109 354 36 840
L. Alfredo Fernández-Jiménez 634 424 74 277 39 917
Cláudio Monteiro 703 258 137 216 40 954
Luyao Liu 443 339 71 414 25 782

All Works

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2026