Retraction

Neural network model analysis of consumption expenditure prediction of urban and rural residents based on Lasso regression analysis

Paper Information

Record ID:
34173
Publication Date:
June 25, 2020
Retraction Date:
November 17, 2021 (4.0 years years ago)
Subjects:
Article Type:
Publisher:
IOS Press (bought by Sage November 2023)
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed

Retraction Details

Nature of Retraction:

Retraction

Retraction Notice:
10.3233/JIFS-219218
Additional Notes:

See also: https://pubpeer.com/publications/DCB048B408F582CEC24330A9F48C42

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
3 After 2+ years
1288 Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Research on the influencing factors of inter provincial urban-rural residents' consumption upgrading in China
Wenjun Chen, Ruipeng Lv
Unknown Journal
Published: May 2025
1288 days after retraction
A Study on the Factors Influencing the Consumption Upgrade of Urban and Rural Residents in Chinese Provinces
Wenjun Chen, Wang ShenLing
Frontiers in Business Economics and Management
Published: Feb 2025
1192 days after retraction
Application of BP Neural Network in the Prediction of Residents’ Consumption Level
Hong Han, Yuehua Duan
Frontiers in artificial intelligence and applications Open Access
Published: Nov 2023
743 days after retraction
The Sustainable Rural Industrial Development under Entrepreneurship and Deep Learning from Digital Empowerment
Suwei Gao, Xiaobei Yang, Huizhen Long et al. (5 authors)
Sustainability Open Access
Published: Apr 2023
13 citations
522 days after retraction
Construction Duration Prediction Model of Power Transmission and Transformation Project Based on BP Neural Network
Bo Yu, Xiaomin Liu, Xin Ju et al. (5 authors)
2022 World Automation Congress (WAC)
Published: Oct 2022
328 days after retraction
Quick Stats
Total Citations: 9
Years Since Retraction: 4.0 years
Open Access: Yes
Last Checked: Jul 24, 2025
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