Material choices for triboelectric nanogenerators: A critical review

By Renyun Zhang, Håkan Olin. EcoMat, 2020

415 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/e7606ceb683bb98ac291e4a99a47ef12451be9bc

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 Cognitive Neuroscience

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

In Polymers and Plastics

1. Long Liu
2. Xinge Guo
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): “And quantitative triboelectric series may serve as a textbook standard for material optimization when triboelectric applied in energy harvesting [75], meanwhile, these improved and designed materials have been introduced to enhance the TENG ’ s output, like bio-absorbable natural materials [76],…”