Smart City Gnosys

Smart city article details

Title Ict-Driven Data Mining Analysis In Civil Engineering: A Scientometric Review
ID_Doc 29965
Authors Sood K.
Year 2025
Published Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 15, 1
DOI http://dx.doi.org/10.1002/widm.70000
Abstract In the contemporary landscape, the remarkable evolution of civil engineering is being driven by the pervasive integration of Information and Communication Technology (ICT). ICT-driven innovations are playing a crucial role in advancing sustainable development goals by promoting energy efficiency, minimizing resource consumption, and fostering resilient infrastructure. Solutions such as smart grids, intelligent transportation systems, and sustainable urban planning are integral to this progress to address global challenges. The goal of the current study is to conduct a scientometric analysis of scholarly literature published in the recent decade within the domain of ICT-assisted civil engineering. To achieve this, the study categorizes the civil engineering field into seven major subfields. It includes structural engineering, geotechnical engineering, transportation engineering, water resources engineering, environmental engineering, construction management, and urban planning and design. Employing CiteSpace as the analytical tool, the research offers insights into the intellectual foundations of the civil engineering. This is accomplished through reference co-citation analysis, cluster analysis, and burst reference analysis. The results demonstrate the adoption of advanced technologies such as Internet of Things (IoT), Machine Learning (ML), Extreme Gradient Boosting (XGBoost), and artificial neural networks in resolving complex civil engineering challenges that reflect the dynamism and diversity of the field. Moreover, it addresses current research challenges within this knowledge domain and explores potential research prospects. The findings emphasize the importance of collaborative efforts among academia, industry stakeholders, and government entities. © 2025 Wiley Periodicals LLC.
Author Keywords civil engineering; ICT; smart cities; structural engineering; sustainable development


Similar Articles


Id Similarity Authors Title Published
10493 View0.901Nyokum T.; Tamut Y.Artificial Intelligence In Civil Engineering: Emerging Applications And OpportunitiesFrontiers in Built Environment, 11 (2025)
6604 View0.888Xu G.; Guo T.Advances In Ai-Powered Civil Engineering Throughout The Entire LifecycleAdvances in Structural Engineering (2025)
31662 View0.863Jasim J.A.; Hilal Mutlag A.; Othman N.A.; Shareef H.; Hameed N.H.Innovative Applications Of Ai And Iot In Smart Urban Infrastructure And Housing Projects2nd International Conference on Emerging Research in Computational Science, ICERCS 2024 (2024)
32216 View0.862Cong Y.; Inazumi S.Integration Of Smart City Technologies With Advanced Predictive Analytics For Geotechnical InvestigationsSmart Cities, 7, 3 (2024)
12040 View0.86Liu Z.; Pan D.; Zhong J.; Huang H.Big Data And Data Mining Technologies Driving Smart City Construction: A Bibliometrics Study From 2014 To 2024Proceedings of 2024 4th International Conference on Computational Modeling, Simulation and Data Analysis, CMSDA 2024 (2025)
11946 View0.859Adejola F.O.; Amusan L.M.; Aigbavboa C.Bibliometric Analysis Of Literature On Smart Technology Integration In The Construction IndustryIOP Conference Series: Earth and Environmental Science, 1492, 1 (2025)
57034 View0.854Alaali H.M.; Al Mubarak M.The Transformative Role Of Artificial Intelligence And Internet Of Things In Advancing Sustainable Development Goals: A Civil Engineering PerspectiveStudies in Systems, Decision and Control, 236 (2025)
38781 View0.853Solaimalai G.; Mandipudi R.; Thirumala S.; Reddy P.N.K.; Anusuya M.; Subhi B.Nano-Composite Integration, Iot, And Ai For Sustainable And Intelligent Smart Cities: AdvancementsThe Convergence of Self-Sustaining Systems With AI and IoT (2024)
31552 View0.85Abedi M.; Shayanfar J.; Al-Jabri K.Infrastructure Damage Assessment Via Machine Learning Approaches: A Systematic ReviewAsian Journal of Civil Engineering, 24, 8 (2023)