Yanfei Li

ORCID: 0000-0002-4039-4222
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About
Contact & Profiles
Research Areas
  • Advanced Combustion Engine Technologies
  • Combustion and flame dynamics
  • Advancements in Battery Materials
  • Supercapacitor Materials and Fabrication
  • Vehicle emissions and performance
  • Advanced Battery Materials and Technologies
  • Energy Load and Power Forecasting
  • Fluid Dynamics and Heat Transfer
  • Combustion and Detonation Processes
  • Electric Vehicles and Infrastructure
  • Biodiesel Production and Applications
  • Electric and Hybrid Vehicle Technologies
  • Advanced Battery Technologies Research
  • Catalytic Processes in Materials Science
  • Energy, Environment, and Transportation Policies
  • Electric Power System Optimization
  • Heat transfer and supercritical fluids
  • X-ray Diffraction in Crystallography
  • Crystallization and Solubility Studies
  • Global Energy Security and Policy
  • Extraction and Separation Processes
  • Microwave Engineering and Waveguides
  • Energy and Environment Impacts
  • Catalytic C–H Functionalization Methods
  • Hybrid Renewable Energy Systems

Naval University of Engineering
2011-2025

North University of China
2021-2025

Tsinghua University
2016-2025

Northeast Normal University
2018-2024

University of Jinan
2021-2024

University of Shanghai for Science and Technology
2024

Shandong University
2009-2024

Central South University
2007-2024

The First Hospital of Changsha
2024

Shanghai University of Medicine and Health Sciences
2018-2024

Conductive hydrogels have emerged as promising material candidates for epidermal sensors due to their similarity biological tissues, good wearability, and high accuracy of information acquisition. However, it is difficult simultaneously achieve conductive hydrogel-based with reliable healability long-term usage, robust mechanical property, environmental degradability decreased electronic waste, sensing capability the physiological stimuli electrophysiological signals. Herein, we propose...

10.1021/acsnano.1c01751 article EN ACS Nano 2021-03-26

Despite the large volume of research dedicated to health-related behavior change, chronic disease costs continue rise, thus creating a major public health burden. Health literacy, ability seek, understand, and utilize information, has been identified as an important factor in course conditions. Little conducted on relationship between literacy behaviors status elderly Chinese. The aim this study was elucidate China.The subjects enrolled were selected based stratified cluster random sampling...

10.3390/ijerph120809714 article EN International Journal of Environmental Research and Public Health 2015-08-18

In order to understand the effect of online reviews on consumer purchase behavior, more than 400 Taobao shops’ are collected. Based S-O-R model (Stimulus-Organism-Response Model), this paper studies influence behavior according experience goods from a new perspective learning. Using SPSS 19.0 software for data analysis and assumptions, statistical results show that positive reviews, describing rating, picture appended cumulative have an behavior. The moderate negative logistics rating...

10.4236/jssm.2015.83043 article EN Journal of Service Science and Management 2015-01-01

Considerable works have been reported concerning the obstruction of enzymatic hydrolysis efficiency by lignin. However, there is a lack information about influence lignin on adsorption cellulases cellulose, along with hydrolytic activity adsorbed In addition, limited discovery has additives cellulase desorption from and lignocellulosic materials. this work, effects Avicel were investigated Tween 80 on/from corn stover explored. The results showed that maximum capacity reduced 276.9 to 179.7...

10.1186/s13068-016-0434-0 article EN cc-by Biotechnology for Biofuels 2016-01-26

Essential decision-making tasks such as power management in future vehicles will benefit from the development of artificial intelligence technology for safe and energy-efficient operations. To develop technique using neural network deep learning energy plug-in hybrid vehicle evaluate its advantage, this article proposes a new adaptive that incorporates deterministic policy gradient (DDPG) with an neuro-fuzzy inference system (ANFIS) network. First, ANFIS is built global K-fold fuzzy (GKFL)...

10.1109/tnnls.2021.3093429 article EN cc-by IEEE Transactions on Neural Networks and Learning Systems 2021-08-24
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