Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities

Amos Darko; Albert P.C. Chan; Michael A. Adabre; David J. Edwards; M. Reza Hosseini; Ernest E. Ameyaw

doi:10.1016/j.autcon.2020.103081

Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities

Amos Darko^*, Albert P.C. Chan, Michael A. Adabre, David J. Edwards, M. Reza Hosseini, Ernest E. Ameyaw

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

465 Citations (SciVal)

Original language	English
Article number	103081
Journal	Automation in Construction
Volume	112
DOIs	https://doi.org/10.1016/j.autcon.2020.103081
Publication status	Published (VoR) - Apr 2020

Funding

The authors gratefully acknowledge the Department of Building and Real Estate of The Hong Kong Polytechnic University for funding this research. Special appreciations also go to the Editors and Reviewers whose constructive and invaluable comments and suggestions played a decisive role in significantly improving the quality of this work. The authors gratefully acknowledge the Department of Building and Real Estate of The Hong Kong Polytechnic University for funding this research. Special appreciations also go to the Editors and Reviewers whose constructive and invaluable comments and suggestions played a decisive role in significantly improving the quality of this work. Appendix A

Keywords

Architecture-engineering-construction
Artificial intelligence
Automation
Digital transformation
Industry 4.0
Machine intelligence
Review
Scientometric

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10.1016/j.autcon.2020.103081

Cite this

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title = "Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities",

keywords = "Architecture-engineering-construction, Artificial intelligence, Automation, Digital transformation, Industry 4.0, Machine intelligence, Review, Scientometric",

author = "Amos Darko and Chan, \{Albert P.C.\} and Adabre, \{Michael A.\} and Edwards, \{David J.\} and Hosseini, \{M. Reza\} and Ameyaw, \{Ernest E.\}",

note = "Funding Information: The authors gratefully acknowledge the Department of Building and Real Estate of The Hong Kong Polytechnic University for funding this research. Special appreciations also go to the Editors and Reviewers whose constructive and invaluable comments and suggestions played a decisive role in significantly improving the quality of this work. Funding Information: The authors gratefully acknowledge the Department of Building and Real Estate of The Hong Kong Polytechnic University for funding this research. Special appreciations also go to the Editors and Reviewers whose constructive and invaluable comments and suggestions played a decisive role in significantly improving the quality of this work. Appendix A Publisher Copyright: {\textcopyright} 2020 Elsevier B.V.",

year = "2020",

month = apr,

doi = "10.1016/j.autcon.2020.103081",

language = "English",

volume = "112",

journal = "Automation in Construction",

issn = "0926-5805",

publisher = "Elsevier",

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T2 - Scientometric analysis and visualization of research activities

AU - Darko, Amos

AU - Chan, Albert P.C.

AU - Adabre, Michael A.

AU - Edwards, David J.

AU - Hosseini, M. Reza

AU - Ameyaw, Ernest E.

N1 - Funding Information: The authors gratefully acknowledge the Department of Building and Real Estate of The Hong Kong Polytechnic University for funding this research. Special appreciations also go to the Editors and Reviewers whose constructive and invaluable comments and suggestions played a decisive role in significantly improving the quality of this work. Funding Information: The authors gratefully acknowledge the Department of Building and Real Estate of The Hong Kong Polytechnic University for funding this research. Special appreciations also go to the Editors and Reviewers whose constructive and invaluable comments and suggestions played a decisive role in significantly improving the quality of this work. Appendix A Publisher Copyright: © 2020 Elsevier B.V.

PY - 2020/4

Y1 - 2020/4

KW - Architecture-engineering-construction

KW - Artificial intelligence

KW - Automation

KW - Digital transformation

KW - Industry 4.0

KW - Machine intelligence

KW - Review

KW - Scientometric

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U2 - 10.1016/j.autcon.2020.103081

DO - 10.1016/j.autcon.2020.103081

M3 - Review article

AN - SCOPUS:85077800987

SN - 0926-5805

VL - 112

JO - Automation in Construction

JF - Automation in Construction

M1 - 103081

ER -

Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities

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Keywords

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