Retraction
Evaluation for Development Effect of Enterprise Innovation with Neural Network from Low-Carbon Economy
Paper Information
Record ID:
46890
Author(s):
Journal:
Publication Date:
June 30, 2022
Retraction Date:
August 09, 2023
(2.3 years years ago)
Subjects:
Institution:
Beijing University of Posts and Telecommunications, School of Economics and Management, Beijing 100876, ChinaCountry:
🇨🇳 ChinaArticle Type:
Publisher:
Hindawi
Open Access:
Yes
DOI:
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed
Retraction Details
Citations (6)
6
Total Citations0
Post-Retraction4
Pre-Retraction1
Same DayHeavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Retracted: Evaluation for Development Effect of Enterprise Innovation with Neural Network from Low-Carbon Economy
Wireless Communications and Mobile Computing
Wireless Communications and Mobile Computing
Open Access
Published: Aug 2023
Same day as retraction
Improved GWO and its application in parameter optimization of Elman neural network
Wei Liu, Jiayang Sun, Guangwei Liu et al. (7 authors)
PLoS ONE
Open Access
Published: Jul 2023
13 citations
13 citations
33 days before retraction
Evolutionary game and simulation analysis on quality supervision of low-carbon renovation of high-carbon emission enterprises under the reward and punishment mechanism
Xiangjian Weng, Chunhui Yuan, Qihang Hu et al. (4 authors)
Frontiers in Environmental Science
Open Access
Published: May 2023
6 citations
6 citations
90 days before retraction
Enterprise innovation evaluation method based on swarm optimization algorithm and artificial neural network
Qiansha Zhang, Xiaoxia Zeng, Wei Lo et al. (4 authors)
Neural Computing and Applications
Published: Feb 2023
5 citations
5 citations
187 days before retraction
A Tripartite Evolutionary Game Study of Low-Carbon Innovation System from the Perspective of Dynamic Rewards and Punishments
Dongsheng Liu, Meili Feng, Yanni Liu et al. (6 authors)
Unknown Journal
Published: Jan 2023
220 days before retraction
Quick Stats
Total Citations:
9
Years Since Retraction:
2.3 years
Open Access:
Yes
Last Checked:
Jul 24, 2025