IMAGE-BASED CRACK-DETECTION SYSTEM USING R-STUDIO AND VOS-VIEWER: A SCIENTOMETRICS LITERATURE REVIEW

Abstract

This paper uses a bibliometric analysis of an image-based crack detection system using RStudio and VOS viewer software tools. In the experimental setup, we verified 210 documents found in the Scopus database with three sections: building walls, concrete surface, and concrete bridges from 141 sources like Journals, conferences, books, and Book chapters, etc., from 2014 to 2024. The R-studio will analyze the Scopus data as input, predict the plot, and cluster the table; then, the VOS-viewer will create a map. The Bibliometric coupling is used to generate a group of related themes with the help of a threshold value of 9, and seven cluster themes are generated. The three-field plot shows the usage of keywords by respective affiliations and countries, and China is the leading country in the domain. The annual scientific production performed right to move in publication output occurred in the 21st century, starting with remarkable growth in 2022 and continuing with a steady rise from 2021 to 2024. Most cited countries specify, especially regarding the total count of research publications resulting from their collaboration. Regarding the total number of research articles produced by a particular country, China has the highest number of research papers, contributing 115 publications. Of the number of research papers affiliated with each university, the topmost is Zhengzhou University, which contains 23 research articles. This paper's novelty is understanding modern literature instead of traditional surveys.