Standout Papers

Deep learning based ensemble approach for probabilistic wind power forecasting 2016 2026 2019 2022 529
  1. Deep learning based ensemble approach for probabilistic wind power forecasting (2016)
    Huaizhi Wang, Gangqiang Li et al. Applied Energy

Immediate Impact

3 from Science/Nature 54 standout
Sub-graph 1 of 20

Citing Papers

Explainable spatiotemporal multi-task learning for electric vehicle charging demand prediction
2025 Standout
Influence of π–π interactions on organic photocatalytic materials and their performance
2025 Standout
1 intermediate paper

Works of Guibin Wang being referenced

Hydrogen Energy Storage System for Demand Forecast Error Mitigation and Voltage Stabilization in a Fast-Charging Station
2021
Deep-Learning-Based Probabilistic Forecasting of Electric Vehicle Charging Load With a Novel Queuing Model
2020

Author Peers

Author Last Decade Papers Cites
Guibin Wang 2040 572 702 70 2.6k
Chun Sing Lai 2671 1013 685 172 3.7k
Youwei Jia 3003 924 520 99 3.7k
Mohammad E. Khodayar 3230 1450 663 74 3.6k
Yitao Liu 2093 626 253 90 2.7k
Zhou Wu 1079 617 255 105 2.5k
Yuanzheng Li 2516 1345 343 108 3.2k
Di Wu 1872 563 723 115 3.3k
Ricardo J. Bessa 3580 736 478 124 4.1k
Zaiyue Yang 2939 1524 661 98 3.5k
Can Wan 3170 998 245 91 3.7k

All Works

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2026