2015
DOI: 10.1016/j.joi.2015.05.007
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China's global growth in social science research: Uncovering evidence from bibliometric analyses of SSCI publications (1978–2013)

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Cited by 134 publications
(96 citation statements)
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“…Number of citations and journal impact factors were found to be statistically positively correlated variables in this research (Gu, 2004). Liu, Hu, Tang and Wang (2015) studied on China's social science research using bibliometric analyses. Their dataset included SSCI publication data between 1978 and 2013.…”
Section: Introductionmentioning
confidence: 67%
“…Number of citations and journal impact factors were found to be statistically positively correlated variables in this research (Gu, 2004). Liu, Hu, Tang and Wang (2015) studied on China's social science research using bibliometric analyses. Their dataset included SSCI publication data between 1978 and 2013.…”
Section: Introductionmentioning
confidence: 67%
“…China, as a rising power, has attracted increasing attention from the world [3,4]. The rapidly growing economy has propelled the development of construction industry.…”
Section: Background and Motivationmentioning
confidence: 99%
“…Some of indicators are suitable to measure the impact of publication such as citation analysis, [60] but some of them more suitable to measure the productivity of publication such as number of publication. [61] Since there are two aspect to assess the progress of bibliometric, as for pure bibliometric the indicators more suitable to measure the productivity performance namely as years of publication, type of document, author's name, affiliation institute or countries whereas to measure the impact of publication namely as h-index or citation analysis. Citation analysis are leaning towards to measure the performance of individual authors as well as the articles itself, whereas for indexes such as H-index or G-index, are more suitable to measure the performance of both productivity and citation impact of publication of researchers.…”
Section: Indicators In Bibliometric Analysismentioning
confidence: 99%
“…[61,62] In a measurement, we can identify that there are numbers of research area keep on emerge and evolving in time. [63] The expectation to identify a good productivity in publication is high as in every year, funding bodies and government bodies spends huge number on research.…”
Section: Indicators In Bibliometric Analysismentioning
confidence: 99%