Retraction
The Use of Deep Learning Model for Effect Analysis of Conventional Friction Power Confinement
Paper Information
Record ID:
48010
Author(s):
Publication Date:
June 07, 2022
Retraction Date:
September 20, 2023
(2.2 years years ago)
Subjects:
Institution:
Xi'an Research Institute of High Technology, Baqiao District, Tongxin Road, Xi'an City, Shaanxi 710025, ChinaCountry:
🇨🇳 ChinaArticle Type:
Publisher:
Hindawi
Open Access:
Yes
DOI:
PubMed ID:
Retraction PubMed ID:
Retraction Details
Retraction Reasons:
Nature of Retraction:
Retraction
Retraction Notice:
10.1155/2023/9817901Additional Notes:
See also: https://pubpeer.com/publications/E4C19119D958B2C7EB390B59C0945E
Citations (3)
3
Total Citations1
Post-Retraction(33.3%)
1
Pre-Retraction0
Same DayPost-Retraction Citation Analysis
1
Within 30 days
1
Within 1 year
0
After 2+ years
23
Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Friction modelling and the use of a physics-informed neural network for estimating frictional torque characteristics
Paweł Olejnik, Samuel Ayankoso
Meccanica
Open Access
Published: Oct 2023
8 citations
8 citations
23 days after retraction
Retracted: The Use of Deep Learning Model for Effect Analysis of Conventional Friction Power Confinement
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine
Open Access
Published: Jan 2023
262 days before retraction
Quick Stats
Total Citations:
4
Years Since Retraction:
2.2 years
Open Access:
Yes
Last Checked:
Jul 24, 2025