Application of Artificial Neural Networks in Construction Management: A Scientometric Review
As a powerful artificial intelligence tool, the Artificial Neural Network (ANN) has been increasingly applied in the field of construction management (CM) during the last few decades. However, few papers have attempted to draw up a systematic commentary to appraise the state-of-the-art research on A...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/12/7/952 |
| _version_ | 1827597703716012032 |
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| author | Hongyu Xu Ruidong Chang Min Pan Huan Li Shicheng Liu Ronald J. Webber Jian Zuo Na Dong |
| author_facet | Hongyu Xu Ruidong Chang Min Pan Huan Li Shicheng Liu Ronald J. Webber Jian Zuo Na Dong |
| author_sort | Hongyu Xu |
| collection | DOAJ |
| description | As a powerful artificial intelligence tool, the Artificial Neural Network (ANN) has been increasingly applied in the field of construction management (CM) during the last few decades. However, few papers have attempted to draw up a systematic commentary to appraise the state-of-the-art research on ANNs in CM except the one published in 2000. In the present study, a scientometric analysis was conducted to comprehensively analyze 112 related articles retrieved from seven selected authoritative journals published between 2000 and 2020. The analysis identified co-authorship networks, collaboration networks of countries/regions, co-occurrence networks of keywords, and timeline visualization of keywords, together with the strongest citation burst, the active research authors, countries/regions, and main research interests, as well as their evolution trends and collaborative relationships in the past 20 years. This paper finds that there is still a lack of systematic research and sufficient attention to the application of ANNs in CM. Furthermore, ANN applications still face many challenges such as data collection, cleaning and storage, the collaboration of different stakeholders, researchers and countries/regions, as well as the systematic design for the needed platforms. The findings are valuable to both the researchers and industry practitioners who are committed to ANNs in CM. |
| first_indexed | 2024-03-09T03:37:08Z |
| format | Article |
| id | doaj.art-0a1c9354c6804f3383b1cd9055ef5912 |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-09T03:37:08Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-0a1c9354c6804f3383b1cd9055ef59122023-12-03T14:46:11ZengMDPI AGBuildings2075-53092022-07-0112795210.3390/buildings12070952Application of Artificial Neural Networks in Construction Management: A Scientometric ReviewHongyu Xu0Ruidong Chang1Min Pan2Huan Li3Shicheng Liu4Ronald J. Webber5Jian Zuo6Na Dong7College of Architecture and Environment, Sichuan University, Chengdu 610065, ChinaSchool of Architecture and Built Environment, The University of Adelaide, Adelaide 5005, AustraliaSichuan Kaiyuan Engineering Project Management Consulting Co., Ltd., Chengdu 610041, ChinaCollege of Architecture and Environment, Sichuan University, Chengdu 610065, ChinaCollege of Architecture and Environment, Sichuan University, Chengdu 610065, ChinaDepartment of Mining-Built Environment, Central Queensland University, Rockhampton 4701, AustraliaSchool of Architecture and Built Environment, The University of Adelaide, Adelaide 5005, AustraliaCollege of Architecture and Environment, Sichuan University, Chengdu 610065, ChinaAs a powerful artificial intelligence tool, the Artificial Neural Network (ANN) has been increasingly applied in the field of construction management (CM) during the last few decades. However, few papers have attempted to draw up a systematic commentary to appraise the state-of-the-art research on ANNs in CM except the one published in 2000. In the present study, a scientometric analysis was conducted to comprehensively analyze 112 related articles retrieved from seven selected authoritative journals published between 2000 and 2020. The analysis identified co-authorship networks, collaboration networks of countries/regions, co-occurrence networks of keywords, and timeline visualization of keywords, together with the strongest citation burst, the active research authors, countries/regions, and main research interests, as well as their evolution trends and collaborative relationships in the past 20 years. This paper finds that there is still a lack of systematic research and sufficient attention to the application of ANNs in CM. Furthermore, ANN applications still face many challenges such as data collection, cleaning and storage, the collaboration of different stakeholders, researchers and countries/regions, as well as the systematic design for the needed platforms. The findings are valuable to both the researchers and industry practitioners who are committed to ANNs in CM.https://www.mdpi.com/2075-5309/12/7/952artificial neural network (ANN)construction managementscientometric analysisfuture trends |
| spellingShingle | Hongyu Xu Ruidong Chang Min Pan Huan Li Shicheng Liu Ronald J. Webber Jian Zuo Na Dong Application of Artificial Neural Networks in Construction Management: A Scientometric Review Buildings artificial neural network (ANN) construction management scientometric analysis future trends |
| title | Application of Artificial Neural Networks in Construction Management: A Scientometric Review |
| title_full | Application of Artificial Neural Networks in Construction Management: A Scientometric Review |
| title_fullStr | Application of Artificial Neural Networks in Construction Management: A Scientometric Review |
| title_full_unstemmed | Application of Artificial Neural Networks in Construction Management: A Scientometric Review |
| title_short | Application of Artificial Neural Networks in Construction Management: A Scientometric Review |
| title_sort | application of artificial neural networks in construction management a scientometric review |
| topic | artificial neural network (ANN) construction management scientometric analysis future trends |
| url | https://www.mdpi.com/2075-5309/12/7/952 |
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