Contemporary evaluation of triboelectric nanogenerators as self-powered devices: A bibliometric analysis from 2012 to 2023

Triboelectric Electric NanoGenerators (TENGs), introduced in 2012 by Wang et al. , have revolutionized the way we harvest energy, converting mechanical energy into electrical power with remarkable efficiency. Since their inception, TENGs have unlocked innumerable applications, driving a surge in innovative research and development. This study utilizes the Scopus database to conduct a bibliographic analysis, highlighting the diverse applications, influential authors, and citation patterns that define the TENG landscape. Through the use of MATLAB and VOSviewer, we provide a visually compelling analysis that not only shows the integration of artificial intelligence in scientific literature but also explores the challenges and future potential of TENG technology. The document concludes by discussing TENGs challenges and the promising paths for their future applications.

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Publication Details

Journal
DeCarbon
Published
2024-12-12
DOI
https://doi.org/10.1016/j.decarb.2024.100093
Citations
3
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.55
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article

Contemporary evaluation of triboelectric nanogenerators as self-powered devices: A bibliometric analysis from 2012 to 2023

Louis A. Cuccia, Minsoo P. Kim, Natalia Vargas Perdomo, Xia Li
3 citations
DeCarbon
Advanced Sensor and Energy Harvesting Materials
0.55
article

Contemporary evaluation of triboelectric nanogenerators as self-powered devices: A bibliometric analysis from 2012 to 2023

Louis A. Cuccia, Minsoo P. Kim, Natalia Vargas Perdomo, Xia Li
article en
3 citations

Abstract

Triboelectric Electric NanoGenerators (TENGs), introduced in 2012 by Wang et al. , have revolutionized the way we harvest energy, converting mechanical energy into electrical power with remarkable efficiency. Since their inception, TENGs have unlocked innumerable applications, driving a surge in innovative research and development. This study utilizes the Scopus database to conduct a bibliographic analysis, highlighting the diverse applications, influential authors, and citation patterns that define the TENG landscape. Through the use of MATLAB and VOSviewer, we provide a visually compelling analysis that not only shows the integration of artificial intelligence in scientific literature but also explores the challenges and future potential of TENG technology. The document concludes by discussing TENGs challenges and the promising paths for their future applications.

DeCarbonVol. 7
Concordia University (US), Sunchon National University (KR), Concordia University (CA)
Openalex Percentile: Top 36%
Advanced Sensor and Energy Harvesting Materials
0.55
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