Big Data and Data Mining Technologies Driving Smart City Construction: A Bibliometrics Study from 2014 to 2024

The development of smart cities has become an essential strategy to tackle the challenges of global urbanization. Among them, big data and data mining technologies play a decisive role. However, there are currently few comprehensive studies that examine research priorities and prospective trends in this field. This study undertakes a comprehensive examination of 948 publications from the Web of Science Core Collection. Using bibliometrics methods and visualization tools such as VOSviewer and CiteSpace, we analyze the development and change of these technologies in smart cities construction from 2014 to 2024. More and more keywords relate to each other, and cross-domain integration highlights the developed complexity of the domain. Furthermore, this study identifies major authors and national collaboration networks. It illustrates that the geographical and interdisciplinary research effort in global. In addition, this study reveals the key advances and future direction for applying big data and data mining technologies to smart cities construction. It also provides a foundation for advancing scientific research and technological innovation in the field.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1145/3727993.3728010
Citations
1
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
0.32
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article

Big Data and Data Mining Technologies Driving Smart City Construction: A Bibliometrics Study from 2014 to 2024

J.X. Zhong, Zhenkun Liu, D. Pan, Huoming Huang
1 citations
Smart Cities and Technologies
0.32
article

Big Data and Data Mining Technologies Driving Smart City Construction: A Bibliometrics Study from 2014 to 2024

J.X. Zhong, Zhenkun Liu, D. Pan, Huoming Huang
article en
1 citations

Abstract

The development of smart cities has become an essential strategy to tackle the challenges of global urbanization. Among them, big data and data mining technologies play a decisive role. However, there are currently few comprehensive studies that examine research priorities and prospective trends in this field. This study undertakes a comprehensive examination of 948 publications from the Web of Science Core Collection. Using bibliometrics methods and visualization tools such as VOSviewer and CiteSpace, we analyze the development and change of these technologies in smart cities construction from 2014 to 2024. More and more keywords relate to each other, and cross-domain integration highlights the developed complexity of the domain. Furthermore, this study identifies major authors and national collaboration networks. It illustrates that the geographical and interdisciplinary research effort in global. In addition, this study reveals the key advances and future direction for applying big data and data mining technologies to smart cities construction. It also provides a foundation for advancing scientific research and technological innovation in the field.

Jishou University (CN), Changsha University (CN), Xiangtan University (CN), Dalian Polytechnic University (CN)
Sustainable cities and communities
Openalex Percentile: Top 32%
Smart Cities and Technologies
0.32
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Big Data and Data Mining Technologies Driving Smart City Construction: A Bibliometrics Study from 2014 to 2024 — J.X. Zhong, Zhenkun Liu, et al. · (2024) | TGRS Research Map | TGRS