Exploring convergence research trends of spatial information based on UAV using text mining technique

Baek, Seung-Chan; Hong, Won‐Hwa

doi:10.1007/s41324-017-0095-5

Spat. Inf. Res.

2017

DOI: 10.1007/s41324-017-0095-5

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Exploring convergence research trends of spatial information based on UAV using text mining technique

Seung-Chan Baek

Won‐Hwa Hong

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Cited by 4 publications

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Unmanned aerial vehicles research in Scopus: an analysis and visualization of publication activity and research collaboration at the country level

Kotsemir

2019

Qual Quant

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This article proposes a global bibliometric overview of unmanned aerial vehicle (UAVs) publications in the Scopus database during 1985-2015 at the country level. The article is structured as follows. The first section provides an introduction and overview of papers on the publication and patent activity in field of UAVs. Section two describes the methodological framework of the study. Section three provides an overview of co-publication activity in UAV research. Section four is devoted to an analysis of patterns of international collaboration in field of UAV research in Scopus. Finally, section five concludes the paper by summarizing the key findings from the analysis and illustrating the implications from the analysis and offering proposals for possible further developments in the field. This study uses a wide set of bibliometric indicators and network metrics for measuring different aspects of publication activity and citation levels as well as cross-country research collaboration on UAVs. In order to illustrate country-to-country research collaboration maps NodeXL software was applied.

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Unmanned aerial vehicles research in Scopus: an analysis and visualization of publication activity and research collaboration at the country level

Kotsemir

2019

Qual Quant

View full text Add to dashboard Cite

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Evaluating patent tendency for UAV related to spatial information in South Korea

2018

Spat. Inf. Res.

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Multi-party transaction framework for drone services based on alliance blockchain in smart cities

Yang

Zhang

et al. 2021

Journal of Information Security and Applications

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scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Exploring convergence research trends of spatial information based on UAV using text mining technique

Cited by 4 publications

References 9 publications

Unmanned aerial vehicles research in Scopus: an analysis and visualization of publication activity and research collaboration at the country level

Unmanned aerial vehicles research in Scopus: an analysis and visualization of publication activity and research collaboration at the country level

Evaluating patent tendency for UAV related to spatial information in South Korea

Multi-party transaction framework for drone services based on alliance blockchain in smart cities

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