Big Data Analysis of Nanoscience Bibliometrics, Patent, and Funding Data (2000-2019)

Yuliang Zhao, Hongjun Xiao, Xingxing He

Research output: Book/ReportBook

1 Scopus citations

Abstract

Big Data Analysis of Nanoscience Bibliometrics, Patent, and Funding Data (2000-2019) presents an evaluation of nanotechnologies outputs (academic outputs and patents) and their impact from 2000-2019. The evaluation uses Elsevier’s Scopus (the largest abstract and citation database of peer-reviewed literature), SciVal (a scientific research analysis platform), Funding Institutional (a funding database), and PatentSight (a patent analysis platform). It covers four key topics regarding nanoscience research, including: 1) An overview of nano-related scholarly output, 2) Nanoscience and its contribution to basic science, 3) Nanoscience and its impact on and collaboration with industry partners, and 4) Key factors that promote the development of nanoscience.

Original languageEnglish (US)
PublisherElsevier
Number of pages105
ISBN (Electronic)9780323913119
DOIs
StatePublished - Jan 1 2021

ASJC Scopus subject areas

  • Engineering(all)

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