Natalia Vargas Perdomo , Minsoo P. Kim , Xia Li , Louis A. Cuccia
{"title":"Contemporary evaluation of triboelectric nanogenerators as self-powered devices: A bibliometric analysis from 2012 to 2023","authors":"Natalia Vargas Perdomo , Minsoo P. Kim , Xia Li , Louis A. Cuccia","doi":"10.1016/j.decarb.2024.100093","DOIUrl":null,"url":null,"abstract":"<div><div>TriboElectric 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.</div></div>","PeriodicalId":100356,"journal":{"name":"DeCarbon","volume":"7 ","pages":"Article 100093"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DeCarbon","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949881324000593","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
TriboElectric 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.