Expression of concern

A practical and efficient multi-assessment system for vocational teaching based on machine learning

Paper Information

Record ID:
42587
Publication Date:
July 19, 2020
Retraction Date:
December 15, 2021 (3.9 years years ago)
Article Type:
Publisher:
SAGE Publications
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed

Expression of concern Details

Nature of Retraction:

Expression of concern

Retraction Notice:
10.1177/00207209211064046

Citations (6)

6
Total Citations
5
Post-Retraction
(83.3%)
0
Pre-Retraction
0
Same Day
Post-Retraction Citation Analysis
0 Within 30 days
1 Within 1 year
4 After 2+ years
747 Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Evaluation and Enhancing Path of the Teaching Quality of English Courses in Colleges and Universities Based on Fuzzy Evaluation Model
Juan Wang
Applied Mathematics and Nonlinear Sciences Open Access
Published: Jan 2024
1 citation
747 days after retraction
Artificial Intelligence Manufacturing Execution System (MES) Unit Control in Automation Application Fusion Industry and Education Platform Design Innovation Exploration
Qiang Peng, Hui Shi, Cong Wang
Applied Mathematics and Nonlinear Sciences Open Access
Published: Jan 2024
1 citation
747 days after retraction
The application and planning of multi-scale integration in the talent cultivation model in the integration of higher vocational teaching industry and education
Hui Yang
Applied Mathematics and Nonlinear Sciences Open Access
Published: Jan 2024
747 days after retraction
Cultivation and Implementation of Craftsmanship in Vocational Education in the Context of the New Era
Gu Ying
Applied Mathematics and Nonlinear Sciences Open Access
Published: Jan 2024
747 days after retraction
Related Records

This article has multiple records in the database due to different notices:

Record #48893
Nov 01, 2023
Retraction
Quick Stats
Total Citations: 11
Years Since Retraction: 3.9 years
Open Access: Yes
Last Checked: Jul 24, 2025
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