2020
DOI: 10.1007/s10257-020-00461-9
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A scientometric review of blockchain research

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Cited by 35 publications
(16 citation statements)
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References 42 publications
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“…e fourth clustering theme is topic modeling, and the main keywords include topic modeling, latent Dirichlet allocation, big data, text analytics, online reviews, etc. Related papers focus on the application of using the Latent Dirichlet Allocation (LDA) topic model in mining hidden topics in some common texts, such as online reviews [51], patent data [52], and research papers [53].…”
Section: Conceptual Structurementioning
confidence: 99%
“…e fourth clustering theme is topic modeling, and the main keywords include topic modeling, latent Dirichlet allocation, big data, text analytics, online reviews, etc. Related papers focus on the application of using the Latent Dirichlet Allocation (LDA) topic model in mining hidden topics in some common texts, such as online reviews [51], patent data [52], and research papers [53].…”
Section: Conceptual Structurementioning
confidence: 99%
“…Li et al [8] focused on the digital transformation of the construction industry and reviewed the current technology, environment, conceptual model, etc., and discussed the application and development trend of blockchain technology in digital construction. Zhou et al [9] conducted research and analysis on the evolution of blockchain technology research and discussed the main research areas including basic technology architecture, privacy and security, digital construction, and smart scene applications, especially in edge computing and encryption mechanisms. Blockchain technology based on application requirements also has shown good advantages.…”
Section: A Bim and Blockchain Technologymentioning
confidence: 99%
“…(Liang Zhou, 2020) stated that, blockchain has recently emerged as a distributed and fast-evolving technology, and this has led to it influencing crypto currency and e-commerce, which have drawn the interests of governments, businesses, and research institutions. This suggests that institutions should plan their research effectively in order to get a sense of the current state of blockchain research [27].…”
Section: Literature Reviewmentioning
confidence: 99%