Expression of concern
User acceptance of machine learning models – Integrating several important external variables with technology acceptance model
Paper Information
Record ID:
39707
Author(s):
Publication Date:
March 25, 2021
Retraction Date:
December 15, 2021
(3.9 years years ago)
Subjects:
Institutions:
Country:
🇨🇳 ChinaArticle Type:
Publisher:
SAGE Publications
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed
Expression of concern Details
Retraction Reasons:
Nature of Retraction:
Expression of concern
Retraction Notice:
10.1177/00207209211064046Citations (5)
5
Total Citations3
Post-Retraction(60.0%)
1
Pre-Retraction0
Same DayPost-Retraction Citation Analysis
1
Within 30 days
1
Within 1 year
2
After 2+ years
1168
Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Explainability Versus Accuracy of Machine Learning Models: The Role of Task Uncertainty and Need for Interaction with the Machine Learning Model
Dominik Hammann, Marc Wouters
European Accounting Review
Open Access
Published: Feb 2025
1168 days after retraction
Bag-of-Future: Time Series Forecasting by Continuous Function Candidates
Hendrik Klopries, V. Chandramouli, Andreas Schwung
Unknown Journal
Published: Jun 2024
916 days after retraction
Investigation of a Web-Based Explainable AI Screening for Prolonged Grief Disorder
Wan Jou She, Chee Siang Ang, Robert A. Neimeyer et al. (11 authors)
IEEE Access
Open Access
Published: Jan 2022
9 citations
9 citations
17 days after retraction
Evaluate the Consumer Acceptance of AIoT-Based Unmanned Convenience Stores Based on Perceived Risks and Technological Acceptance Models
I-Chi Wang, Chin-Wen Liao, Kuo-Ping Lin et al. (5 authors)
Mathematical Problems in Engineering
Open Access
Published: Jul 2021
10 citations
10 citations
141 days before retraction
Related Records
This article has multiple records in the database due to different notices:
Record #49217
Nov 01, 2023Quick Stats
Total Citations:
10
Years Since Retraction:
3.9 years
Open Access:
Yes
Last Checked:
Jul 24, 2025