Zhou Li

Guangxi University, Chinese Academy of Sciences, Beijing Institute of Nanoenergy and Nanosystems, University of Chinese Academy of Sciences

论文数

15

总引用数

1,302

H-Index

13

关于

暂无简介。

研究焦点

Materials science14 · 1,278 次引用
Nanotechnology10 · 1,056 次引用
Composite material9 · 1,049 次引用
Computer science12 · 1,047 次引用
Artificial intelligence8 · 662 次引用
Engineering7 · 595 次引用
Electrical engineering6 · 590 次引用
Triboelectric effect7 · 576 次引用
Robot6 · 501 次引用
Nanogenerator5 · 462 次引用
Wearable computer4 · 446 次引用
Power (physics)3 · 441 次引用

主要成就

13
H 指数
15
论文
1,302
总引用数
87
篇均引用
🏆 最高被引论文
Ultra‐Stretchable and Fast Self‐Healing Ionic Hydrogel in Cryogenic Environments for Artificial Nerve Fiber
270 次引用 · 2022
📈 最高产年份: 2022 (5 论文)
🤝 主要合作者: 86
🏛 所属机构: Guangxi University, Chinese Academy of Sciences, Beijing Institute of Nanoenergy and Nanosystems, University of Chinese Academy of Sciences

代表论文

  1. 1
    Ultra‐Stretchable and Fast Self‐Healing Ionic Hydrogel in Cryogenic Environments for Artificial Nerve Fiber
    270 次引用 · 2022
  2. 2
    A Stretchable Highoutput Triboelectric Nanogenerator Improved by MXene Liquid Electrode with High Electronegativity
    233 次引用 · 2020
  3. 3
    Customization of Conductive Elastomer Based on PVA/PEI for Stretchable Sensors
    169 次引用 · 2020
  4. 4
    Bioinspired sensor system for health care and human‐machine interaction
    137 次引用 · 2022
  5. 5
    Self-Powered Force Sensors for Multidimensional Tactile Sensing
    88 次引用 · 2022
  6. 6
    Ultrathin Stretchable Triboelectric Nanogenerators Improved by Postcharging Electrode Material
    76 次引用 · 2021
  7. 7
    A Stretchable, Self-Healable Triboelectric Nanogenerator as Electronic Skin for Energy Harvesting and Tactile Sensing
    71 次引用 · 2021
  8. 8
    A Self‐Powered Triboelectric Hybrid Coder for Human–Machine Interaction
    69 次引用 · 2022
  9. 9
    Flexible and stretchable dual mode nanogenerator for rehabilitation monitoring and information interaction
    58 次引用 · 2020
  10. 10
    Self‐Powered Flexible Sensor Array for Dynamic Pressure Monitoring
    49 次引用 · 2024

主要合作者

XQXuecheng Qu8 篇合著论文BSBojing Shi6 篇合著论文HOHan Ouyang5 篇合著论文SCShengyu Chao4 篇合著论文DJDongjie Jiang4 篇合著论文JXJiangtao Xue4 篇合著论文CWChan Wang4 篇合著论文CWChangyong Wang3 篇合著论文EWEngui Wang3 篇合著论文LXLingling Xu3 篇合著论文YZYang Zou3 篇合著论文YCYu Cao2 篇合著论文YFYubo Fan2 篇合著论文YBYuan Bai2 篇合著论文YSYu Sun2 篇合著论文WZWeiyi Zhang2 篇合著论文YWYuxiang Wu2 篇合著论文RLRuping Liu2 篇合著论文GMGengsheng Mao2 篇合著论文YYYuan Yang2 篇合著论文
尚未生成