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Figure 9. Number of articles published in the top 15 journals. The 587 articles from the Final Dataset A were published in a total of 180 jour- nals. Figure 9 lists the top 15 journals with the most articles published; as can be seen, the 6 journals with the most published articles are Automation in Construction, Sustainabil- ity, Journal of Cleaner Production, Journal of Construction Engineering and Management, Journal of Building Engineering, and Engineering Construction and Architectural Manage- ment, comprising a total of 34.24% of the articles in all journals.

Figure 9 Number of articles published in the top 15 journals. The 587 articles from the Final Dataset A were published in a total of 180 jour- nals. Figure 9 lists the top 15 journals with the most articles published; as can be seen, the 6 journals with the most published articles are Automation in Construction, Sustainabil- ity, Journal of Cleaner Production, Journal of Construction Engineering and Management, Journal of Building Engineering, and Engineering Construction and Architectural Manage- ment, comprising a total of 34.24% of the articles in all journals.

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Figure 3. Example of a citation network. MPA works with the article citation network, as formed from the created dataset to provide the basis for further review of the literature and investigate the knowledge diffusion paths of various fields [16]. By representing the articles in the created dataset as nodes, and considering the citation relationships of the articles as links between adjacent nodes, the citation links between all articles are created using the citation data from the reference section. Then, the paths leading from cited articles to other further cited articles can be plotted in a citation network. As can be seen in Figure 3, by following the direction of the links, the created citation network is an acyclic directed network (ADN), where the nodes within an ADN are acyclic, directed, and cannot be encountered twice in an exhaustive search.
Figure 3. Example of a citation network. MPA works with the article citation network, as formed from the created dataset to provide the basis for further review of the literature and investigate the knowledge diffusion paths of various fields [16]. By representing the articles in the created dataset as nodes, and considering the citation relationships of the articles as links between adjacent nodes, the citation links between all articles are created using the citation data from the reference section. Then, the paths leading from cited articles to other further cited articles can be plotted in a citation network. As can be seen in Figure 3, by following the direction of the links, the created citation network is an acyclic directed network (ADN), where the nodes within an ADN are acyclic, directed, and cannot be encountered twice in an exhaustive search.
Figure 2. Collected datasets for MPA.
Figure 2. Collected datasets for MPA.
Figure 4. Citation network for the 587 articles in the Final Dataset A.
Figure 4. Citation network for the 587 articles in the Final Dataset A.
the magnitud tative articles are review pa were pub op 10 global key-route main paths of the Final Dataset A, hereafter referred to as the “Main Paths A”. In Figure 5, each node represents an article and is labeled with the first author’s ast name and the initia publication. The links re indicate the direction of s of the other authors’ last names (if any), followed by the year of present the citation relationships between articles, while the arrows knowledge dissemination, and the thickness of an arrow indicates e of knowledge flow through the link. As shown in Figure 5, 20 represen- ished between 2002 and 2021, of which 6 articles marked with ® pers. The nine articles marked with an underline also appear in the global top 20 key routes of the Fina of the networ Dataset B presented in the next subsection. Based on the structure k and the topics of the articles, the network can be divided into three phases. The articles in each phase are listed in Table 1, and the various research topics covered in each phase are explained below. Table 1. Articles in Main Paths A.
the magnitud tative articles are review pa were pub op 10 global key-route main paths of the Final Dataset A, hereafter referred to as the “Main Paths A”. In Figure 5, each node represents an article and is labeled with the first author’s ast name and the initia publication. The links re indicate the direction of s of the other authors’ last names (if any), followed by the year of present the citation relationships between articles, while the arrows knowledge dissemination, and the thickness of an arrow indicates e of knowledge flow through the link. As shown in Figure 5, 20 represen- ished between 2002 and 2021, of which 6 articles marked with ® pers. The nine articles marked with an underline also appear in the global top 20 key routes of the Fina of the networ Dataset B presented in the next subsection. Based on the structure k and the topics of the articles, the network can be divided into three phases. The articles in each phase are listed in Table 1, and the various research topics covered in each phase are explained below. Table 1. Articles in Main Paths A.
Table 1. Cont.
Table 1. Cont.
The second main stream begins with the middle source node CaidasN2002 [23]. As shown in Figure 6, the second main stream contains 14 representative articles pub- lished between 2002 and 2021. The research topics in the second main stream include:
The second main stream begins with the middle source node CaidasN2002 [23]. As shown in Figure 6, the second main stream contains 14 representative articles pub- lished between 2002 and 2021. The research topics in the second main stream include:
Table 2. Analytical results of cluster analysis.
Table 2. Analytical results of cluster analysis.
Figure 8. Number of articles published in the top 15 countries. Figure 7. Number of articles published on different continents.
Figure 8. Number of articles published in the top 15 countries. Figure 7. Number of articles published on different continents.
The number of articles published each year from 1989 to 2021 is shown in Figure 10. Although the number of published articles tends to increase, the cumulative number of articles from 1989 to 2016 was only 28.62%. Therefore, the research field regarding the appli- cation of Al-based technologies in the construction industry was still in its early stages and did not receive too much attention in the first 27 years. Since 2017, the number of published articles has increased significantly every year and is higher than the previous year.
The number of articles published each year from 1989 to 2021 is shown in Figure 10. Although the number of published articles tends to increase, the cumulative number of articles from 1989 to 2016 was only 28.62%. Therefore, the research field regarding the appli- cation of Al-based technologies in the construction industry was still in its early stages and did not receive too much attention in the first 27 years. Since 2017, the number of published articles has increased significantly every year and is higher than the previous year.
Figure 11. The growth trend of accumulated articles published over the years. In order to understand the growing trend of articles published over the years, this study used Loglet Lab 4.0 software to perform a time-sequential analysis. As shown in Figure 11, the growth pattern of the number of articles from the Final Dataset A follows a sigmoid function as the most common pattern of innovation diffusion. Using the logistic 5-curve of the basic sigmoid model, we can predict the growth trend and saturation time of the number of articles. As the S-curve of the basic sigmoid model in Figure 11 shows, the growth trend of studies regarding the application of AlI-based technologies in the construction industry has increased significantly from 2017. It is predicted that research in this field will enter a mature stage around 2030 and reach saturation around 2035, when the S-curve of the basic sigmoid model is extended, meaning if no new developments are achieved in this research field, the maximum number of published articles will reach 2250 articles by 2035.
Figure 11. The growth trend of accumulated articles published over the years. In order to understand the growing trend of articles published over the years, this study used Loglet Lab 4.0 software to perform a time-sequential analysis. As shown in Figure 11, the growth pattern of the number of articles from the Final Dataset A follows a sigmoid function as the most common pattern of innovation diffusion. Using the logistic 5-curve of the basic sigmoid model, we can predict the growth trend and saturation time of the number of articles. As the S-curve of the basic sigmoid model in Figure 11 shows, the growth trend of studies regarding the application of AlI-based technologies in the construction industry has increased significantly from 2017. It is predicted that research in this field will enter a mature stage around 2030 and reach saturation around 2035, when the S-curve of the basic sigmoid model is extended, meaning if no new developments are achieved in this research field, the maximum number of published articles will reach 2250 articles by 2035.
Related topics:
Artificial IntelligenceConstruction ManagementConstruction Engineering and ManagementBIM and Construction PlanningMain Path Analysis
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