Yanfei Li
Researcher Next ID · RN-041437
Researcher · Chemical Engineering
Guangdong University of Technology
Guangzhou, Poland
- Works count
- 535
- Citation count
- 11,761
- H-index
- 55
- i10-index
- 211
Research interests
Publications
The economic feasibility of green hydrogen and fuel cell electric vehicles for road transport in China
Energy Policy · 2021 · https://doi.org/10.1016/j.enpol.2021.112703
Healable, Degradable, and Conductive MXene Nanocomposite Hydrogel for Multifunctional Epidermal Sensors
ACS Nano · 2021 · https://doi.org/10.1021/acsnano.1c01751
The effectiveness of music therapy for patients with cancer: A systematic review and meta‐analysis
Journal of Advanced Nursing · 2020 · https://doi.org/10.1111/jan.14313
Economic competitiveness and environmental implications of hydrogen energy and fuel cell electric vehicles in ASEAN countries: The current and future scenarios
Energy Policy · 2020 · https://doi.org/10.1016/j.enpol.2020.111980
Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression
Renewable Energy · 2019 · https://doi.org/10.1016/j.renene.2019.05.039
Multi-step wind speed forecasting using EWT decomposition, LSTM principal computing, RELM subordinate computing and IEWT reconstruction
Energy Conversion and Management · 2018 · https://doi.org/10.1016/j.enconman.2018.04.082
Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM
Energy Conversion and Management · 2018 · https://doi.org/10.1016/j.enconman.2018.01.010
An experimental investigation of three new hybrid wind speed forecasting models using multi-decomposing strategy and ELM algorithm
Renewable Energy · 2018 · https://doi.org/10.1016/j.renene.2018.02.092
Combustion and emission characteristics of diesel engine fueled with biodiesel/PODE blends
Applied Energy · 2017 · https://doi.org/10.1016/j.apenergy.2017.08.206
Effects of lignin and surfactant on adsorption and hydrolysis of cellulases on cellulose
Biotechnology for Biofuels · 2016 · https://doi.org/10.1186/s13068-016-0434-0
New wind speed forecasting approaches using fast ensemble empirical model decomposition, genetic algorithm, Mind Evolutionary Algorithm and Artificial Neural Networks
Renewable Energy · 2015 · https://doi.org/10.1016/j.renene.2015.06.004
Effect of Online Reviews on Consumer Purchase Behavior
Journal of Service Science and Management · 2015 · https://doi.org/10.4236/jssm.2015.83043
Relationship between Health Literacy, Health-Related Behaviors and Health Status: A Survey of Elderly Chinese
International Journal of Environmental Research and Public Health · 2015 · https://doi.org/10.3390/ijerph120809714
A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks
Renewable Energy · 2012 · https://doi.org/10.1016/j.renene.2012.06.012
Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction
Applied Energy · 2012 · https://doi.org/10.1016/j.apenergy.2012.04.001
Current projects
No projects listed.