CoChat
Sign Up
Cited by 127BIM and Construction IntegrationCivil and Structural Engineering ResearchInfrastructure Maintenance and Monitoring

The DOI matches its Crossref record; 142 of the 142 references it cites were found in a registry or an index.

Influence of Artificial Intelligence in Civil Engineering toward Sustainable Development—A Systematic Literature Review

Open access
Manzoor, Bilal, Othman, Idris, Durdyev, Serdar, Ismail, Syuhaida, Wahab, Mohammad·2021·Applied System Innovation
DOI 10.3390/asi4030052
Open this paper in CoChat — free accountOpen PDF

Abstract

The widespread use of artificial intelligence (AI) in civil engineering has provided civil engineers with various benefits and opportunities, including a rich data collection, sustainable assessment, and productivity. The trend of construction is diverted toward sustainability with the aid of digital technologies. In this regard, this paper presents a systematic literature review (SLR) in order to explore the influence of AI in civil engineering toward sustainable development. In addition, SLR was carried out by using academic publications from Scopus (i.e., 3478 publications). Furthermore, screening is carried out, and eventually, 105 research publications in the field of AI were selected. Keywords were searched through Boolean operation “Artificial Intelligence” OR “Machine intelligence” OR “Machine Learning” OR “Computational intelligence” OR “Computer vision” OR “Expert systems” OR “Neural networks” AND “Civil Engineering” OR “Construction Engineering” OR “Sustainable Development” OR “Sustainability”. According to the findings, it was revealed that the trend of publications received its high intention of researchers in 2020, the most important contribution of publications on AI toward sustainability by the Automation in Construction, the United States has the major influence among all the other countries, the main features of civil engineering toward sustainability are interconnectivity, functionality, unpredictability, and individuality. This research adds to the body of knowledge in civil engineering by visualizing and comprehending trends and patterns, as well as defining major research goals, journals, and countries. In addition, a theoretical framework has been proposed in light of the results for prospective researchers and scholars.

Overview

Integrity signals

Registry

Crossref · 10.3390/asi4030052

Cites

142 of 142 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Flagged first, then by citations

Show all 142 references

Research works printed but not linked: 4

  1. Lukovac, 2018, Normalized weighted geometric bonferroni mean operator of interval rough numbers–application in interval rough dematel-copras model, Facta Univ. Ser. Mech. Eng., 16, 171
  2. Vyas, 2018, Artificial intelligence: The beginning of a new era in pharmacy profession, Asian J. Pharm, 12, 72
  3. Amico, 2016, How artificial intelligence will redefine management, Harv. Bus. Rev., 2, 1
  4. Bannerjee, 2018, Artificial intelligence in agriculture: A literature survey, Int. J. Sci. Res. Comput. Sci. Appl. Manag. Stud., 7, 1

Cited by

Sorted by citations

Items 101–127 of 127

Related

See all

Metadata

Authors
Manzoor, B., Othman, I., Durdyev, S., Ismail, S., & Wahab, M.
Affiliations
  • Universiti Teknologi Petronas (MY)
  • Ara Institute of Canterbury (NZ)
  • University of Technology Malaysia (MY)
Corresponding author
Durdyev, Serdar
ORCID
Venue
Applied System Innovation
Publisher
MDPI AG
Published
2021-08-06
Volume
4
Issue
3
Pages
52
ISSN
2571-5577 (ISSN-L)
DOI
10.3390/asi4030052
OpenAlex
W3190382256
Cited by
118
References
142
Citations by year
2026: 24 · 2025: 30 · 2024: 27 · 2023: 17 · 2022: 13 · 2021: 7
FWCI
1.48
Type
journal article
Language
en
Open access
Licence
Locations
  • Applied System Innovation (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Physical Sciences › Engineering › Building and Construction › BIM and Construction Integration
  • Physical Sciences › Engineering › Civil and Structural Engineering › Civil and Structural Engineering Research
  • Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
Keywords
artificial intelligence in civil engineering, sustainable development, sustainable construction, construction automation, machine learning, computer vision, expert systems, artificial neural networks, research trends, digital technologies in construction

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review