2021
DOI: 10.48550/arxiv.2108.11375
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A historical review and Bibliometric analysis of research on Weak measurement research over the past decades based on Biblioshiny

Jing-Hui Huang,
Xue-Ying Duan,
Fei-Fan He
et al.

Abstract: Weak measurement has enabled fundamental studies in both experiment and theory of quantum measurement. Numerous researches have indicated that weak measurements have a wide range of application and scientific research value. In our work, we used bibliometric methods to evaluate the global scientific output of research on Weak measurement and explore the current status and trends in this field from 2000 to 2020. The R bibliometric package was used for quantitative and qualitative analyses of publication outputs… Show more

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Cited by 12 publications
(12 citation statements)
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“…Additionally, new knowledge consistently appears at points where structural and temporal evolution converges, such as in network analysis, factorial analysis, and thematic mapping. And the findings are described in the results section (Huang et al, 2021).…”
Section: Methods Of Analysismentioning
confidence: 97%
“…Additionally, new knowledge consistently appears at points where structural and temporal evolution converges, such as in network analysis, factorial analysis, and thematic mapping. And the findings are described in the results section (Huang et al, 2021).…”
Section: Methods Of Analysismentioning
confidence: 97%
“…MCA represents the data as points in low-dimensional Euclidean space techniques to achieve dimensionality reduction [114]. MCA is widely used to analyze a set of variables with similar characteristics and to identify new potential variables [115].…”
Section: Current Practicesmentioning
confidence: 99%
“…R is a reliable statistical programming language because of its capabilities to conduct performance analysis and visualization techniques based on various sources of documents such as Scopus or Web of Science with several types of files formatted like Bibtex atau Plain Text atau Comma Separated Values (Linnenluecke et al, 2020). R also provides the Shiny package, created by RStudio Team (Aria & Cuccurullo, 2017;Chang et al, 2023), is a Java-based software and robust tool for building interactive web applications for research analysis and this tool is also equipped with a user-friendly interface to create a data visualization through R studio which provides analysis without coding (Huang et al, 2021;Linnenluecke et al, 2020;Moral-Muñoz et al, 2020).…”
Section: Bibliometric Analysismentioning
confidence: 99%