Retraction
Construction of the 3D Reconstruction System of Building Construction Scene Based on Deep Learning
Paper Information
Record ID:
55890
Author(s):
Journal:
Publication Date:
December 14, 2021
Retraction Date:
August 16, 2023
(2.3 years years ago)
Subjects:
Institution:
College of Architecture, South China University of Technology, Guangzhou 510641, Guangdong, ChinaCountry:
🇨🇳 ChinaArticle Type:
Publisher:
Hindawi
Open Access:
Yes
DOI:
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed
Retraction Details
Retraction Reasons:
- Concerns/Issues About Data
- Concerns/Issues about Results and/or Conclusions
- Concerns/Issues about Referencing/Attributions
- Concerns/Issues with Peer Review
- Investigation by Journal/Publisher
- Investigation by Third Party
- Paper Mill
- Computer-Aided Content or Computer-Generated Content
- Unreliable Results and/or Conclusions
Nature of Retraction:
Retraction
Retraction Notice:
10.1155/2023/9825727Citations (5)
5
Total Citations2
Post-Retraction(40.0%)
1
Pre-Retraction1
Same DayPost-Retraction Citation Analysis
0
Within 30 days
2
Within 1 year
0
After 2+ years
49
Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Artificial Intelligence (AI)-Based Technology Adoption in the Construction Industry: A Cross National Perspective Using the Technology Acceptance Model
Seunguk Na, Seokjae Heo, Wonjun Choi et al. (5 authors)
Buildings
Open Access
Published: Oct 2023
33 citations
33 citations
49 days after retraction
Research on Simulation and Reconstruction of Digital Sculpture 3D Models Based on Deep Learning Algorithms
Yangloucai Zhang
Unknown Journal
Published: Sep 2023
40 days after retraction
Retracted: Construction of the 3D Reconstruction System of Building Construction Scene Based on Deep Learning
Scientific Programming
Scientific Programming
Open Access
Published: Aug 2023
Same day as retraction
Overview of Possible Applications for the Complex 3D Objects Restoration Technologies
R. A. Dyachenko, Konstantin Savvidi, Dmitry Gura et al. (4 authors)
Lecture notes in networks and systems
Published: Jan 2023
227 days before retraction
Quick Stats
Total Citations:
8
Years Since Retraction:
2.3 years
Open Access:
Yes
Last Checked:
Jul 24, 2025