Scavenging Wind Energy by Triboelectric Nanogenerators

By Ya Yang, Zhong Lin Wang. 2018

449 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electronic, Optical and Magnetic Materials, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/dbbb7896d91ac23c98e5ebe2bb1e32c4ad133799

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. Long Liu
3. Chengkuo Lee

In Electronic, Optical and Magnetic Materials

1. Xinge Guo
2. Long Liu
3. Chengkuo Lee

In Mechanical Engineering

1. Xinge Guo
2. Long Liu
3. Chengkuo Lee

Citations in the corpus

• Promoting smart cities into the 5G era with multi-field Internet of Things (IoT) applications powered with advanced mechanical energy harvesters (2021, background): “…as “ ordered ” energy for fixed sites, the energy harvested from the environment as “ random ” energy, such as solar energy [13 – 15], wind energy [16,17], potential energy from rain [17,18], vibration energy [19,20], and even thermal energy [21,22], is increasingly important to support the…”