Fully Packaged Self‐Powered Triboelectric Pressure Sensor Using Hemispheres‐Array

By K. Lee, Hong‐Joon Yoon, Tao Jiang, X. Wen, Wanchul Seung, Sang‐Woo Kim, Zhong Lin Wang. 2016

236 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/d590127b71bfd074fa0255e72a2f1bdcd4961193

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Xinge Guo
2. Chengkuo Lee
3. Long Liu
4. Tianyiyi He
5. Feng Wen
6. Qiongfeng Shi
7. Bowei Dong
8. Jianxiong Zhu

In Cognitive Neuroscience

1. Chengkuo Lee
2. Xinge Guo
3. Long Liu
4. Tianyiyi He
5. Feng Wen
6. Qiongfeng Shi
7. Jianxiong Zhu
8. Bowei Dong

In Polymers and Plastics

1. Chengkuo Lee
2. Xinge Guo
3. Long Liu
4. Tianyiyi He
5. Qiongfeng Shi
6. Feng Wen
7. Philippe Vachon
8. Yanqin Yang

Citations in the corpus

• Progress in TENG technology—A journey from energy harvesting to nanoenergy and nanosystem (2020, background): “Detection of pressure/force which is one of the most common stimuli to trigger the operation of TENGs is of great significance to enable the applications in tactile sensing, sensory robotics, HMI, and healthcare monitoring.(120-128) As illustrated in Figure 3A, a self-powered pressure sensor was con”