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Yonghang Tai

ResearcherPublications, citations & collaboration network

Yonghang Tai is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 141 works, 3,021 citations, an h-index of 26 and an i10-index of 51.

141
Works
3,021
Citations
26
h-index
51
i10-index

How has Yonghang Tai's publication output changed over time?

ScholarIQpublication output · 2019–2023

Output grew300% over the shown period — from 1 works in 2019 to 4 in 2023.

1
3
2
1
4
20192020202120222023

What are the most-cited papers on Yonghang Tai?

ScholarIQmost cited works
Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks
Bixuan Gao, Xiaoqiao Huang, Junsheng Shi, Yonghang Tai, Jun Zhang
S815301. 2020369 CitationsOPEN ACCESS
Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives
Nan Sun, Ming Ding, Jiaojiao Jiang, Weikang Xu, Xiaoxing Mo, Yonghang Tai, Jun Zhang
S23688054. 2023270 CitationsOPEN ACCESS
Time series forecasting for hourly photovoltaic power using conditional generative adversarial network and Bi-LSTM
Xiaoqiao Huang, Qiong Li, Yonghang Tai, Zaiqing Chen, Jun Liu, Junsheng Shi, Wu-Ming Liu
Energy. 2022232 Citations
Hybrid deep neural model for hourly solar irradiance forecasting
Xiaoqiao Huang, Qiong Li, Yonghang Tai, Zaiqing Chen, Jun Zhang, Junsheng Shi, Bixuan Gao, Wu‐Ming Liu
S815301. 2021190 CitationsOPEN ACCESS
Hourly stepwise forecasting for solar irradiance using integrated hybrid models CNN-LSTM-MLP combined with error correction and VMD
Jun Liu, Xiaoqiao Huang, Qiong Li, Zaiqing Chen, Gang Liu, Yonghang Tai
S105637730. 2023135 Citations

Related on ScholarIQ

Yunnan Normal University
Institution
Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks
Paper
Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives
Paper
Time series forecasting for hourly photovoltaic power using conditional generative adversarial network and Bi-LSTM
Paper
Hybrid deep neural model for hourly solar irradiance forecasting
Paper
Hourly stepwise forecasting for solar irradiance using integrated hybrid models CNN-LSTM-MLP combined with error correction and VMD
Paper
470M+ articles · free account