Piezoelectric and triboelectric nanogenerators: Trends and impacts

By H. Askari, Amir Khajepour, Mir Behrad Khamesee, Z. Saadatnia, Zhong Lin Wang. Nano Today, 2018

159 citations recorded by the source corpus.

Abstract Piezoelectric and triboelectric nanogenerators are the two recently developed technologies for effective harvesting of ambient mechanical energy for self-powered systems. The work herein briefly reports the trends and impacts of research based on piezoelectric and triboelectric nanogenerators. For the first time, a statistical study of publication trends in piezo- and triboelectric nanogenerators is used to investigate the current state of the research. We investigate the status of the research in these fields, based on their S-shaped history, as a description of their growth in size over time, considering the number of citations and published papers that use these two novel technologies. A brief discussion of the outlook for these technologies and their potential impact on everyday life is presented, particularly in the development of future ‘smart’ cities.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/8b2b242ce4fe4df33b198dd67a4768cfe4cf4d86

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 Mechanical Engineering

1. Xinge Guo
2. Long Liu
3. Qiongfeng Shi
4. Philippe Vachon
5. Feng Wen
6. Yanqin Yang
7. Jianxiong Zhu
8. Bowei Dong

Citations in the corpus

• Progress in TENG technology—A journey from energy harvesting to nanoenergy and nanosystem (2020, background): “However, those technologies normally necessitate complicated structures and operate under high-frequency stimuli, with low transducing efficiency and low voltage output in the low-frequency domain, which dramatically constrains their potential applications in the intelligent world.(2,6,35-42) To ove”