Expression of concern
Urban land ecological evaluation and English translation model optimization based on machine learning
Paper Information
Record ID:
33377
Author(s):
Journal:
Publication Date:
May 29, 2021
Retraction Date:
September 28, 2021
(4.1 years years ago)
Subjects:
Institution:
College of Foreign Languages, University of Shanghai for Science and Technology, Shanghai, 200093, ChinaCountry:
🇨🇳 ChinaArticle Type:
Publisher:
Springer
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:
10.1007/s12517-021-08471-8Citations (5)
5
Total Citations4
Post-Retraction(80.0%)
0
Pre-Retraction0
Same DayPost-Retraction Citation Analysis
0
Within 30 days
3
Within 1 year
0
After 2+ years
445
Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Design of an English Semantic Translation Accuracy Evaluation System Based on Computer Technology
Huaxin Chen, Yibo Zhang
Advances in computer science research
Open Access
Published: Dec 2022
445 days after retraction
Application of Stochastic Matrix Model with Improved GLR Algorithm in English Translation Studies
Lingyi Zhu, Lijuan Liu
Mathematical Problems in Engineering
Open Access
Published: Aug 2022
2 citations
2 citations
316 days after retraction
Dynamic Model of Language Propagation in English Translation Based on Differential Equations
Wenping Wei
Mathematical Problems in Engineering
Open Access
Published: Aug 2022
1 citation
1 citation
315 days after retraction
The Impact of Big Data Technology on Phrase and Syntactic Coherence in English Translation
Xiaoyu Li
Mathematical Problems in Engineering
Open Access
Published: Jun 2022
3 citations
3 citations
270 days after retraction
Related Records
This article has multiple records in the database due to different notices:
Record #34341
Nov 12, 2021Quick Stats
Total Citations:
8
Years Since Retraction:
4.1 years
Open Access:
Yes
Last Checked:
Jul 24, 2025