Retraction
Effect of Basicity on the Microstructure of Sinter and Its Application Based on Deep Learning
Paper Information
Record ID:
49305
Author(s):
Journal:
Publication Date:
September 11, 2021
Retraction Date:
June 28, 2023
(2.4 years years ago)
Subjects:
Institutions:
Country:
🇨🇳 ChinaArticle Type:
Publisher:
Hindawi
Open Access:
Yes
DOI:
PubMed ID:
Retraction PubMed ID:
Retraction Details
Retraction Reasons:
- Concerns/Issues About Data
- Concerns/Issues about Results and/or Conclusions
- Concerns/Issues about Referencing/Attributions
- Concerns/Issues with Peer Review
- Investigation by Journal/Publisher
- Investigation by Third Party
- Computer-Aided Content or Computer-Generated Content
- Unreliable Results and/or Conclusions
Nature of Retraction:
Retraction
Retraction Notice:
10.1155/2023/9792016Citations (9)
9
Total Citations5
Post-Retraction(55.6%)
3
Pre-Retraction0
Same DayPost-Retraction Citation Analysis
0
Within 30 days
2
Within 1 year
0
After 2+ years
638
Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Effects of mineral composition on properties of cold-bonded briquette prepared from returned sinter fines
Ying Li, Meicheng Li, Dejin Qiu et al. (7 authors)
Journal of Iron and Steel Research International
Published: Mar 2025
638 days after retraction
Characterisation of iron ore sinter products with varying binary basicity (CaO/SiO<sub>2</sub>) from 1.5 to 2.7
Wei Liu, Congcong Yang, Deqing Zhu et al. (7 authors)
Ironmaking & Steelmaking Processes Products and Applications
Published: Jul 2024
394 days after retraction
Current trends on deep learning techniques applied in iron and steel making field: A review
Kazumasa Tsutsui, Tokinaga Namba, Kengo Kihara et al. (6 authors)
ISIJ International
Open Access
Published: Jul 2024
2 citations
2 citations
386 days after retraction
A Survey of Data-Driven Soft Sensing in Ironmaking System: Research Status and Opportunities
Yan Feng, Liyuan Kong, Yanrui Li et al. (6 authors)
ACS Omega
Open Access
Published: Jun 2024
7 citations
7 citations
344 days after retraction
Application of deep learning in iron ore sintering process: a review
Yuxuan Gong, Chong-hao Wang, Jie Li et al. (5 authors)
Journal of Iron and Steel Research International
Open Access
Published: Mar 2024
5 citations
5 citations
262 days after retraction
Retracted: Effect of Basicity on the Microstructure of Sinter and Its Application Based on Deep Learning
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
Open Access
Published: Jan 2023
178 days before retraction
Current Trends on Deep Learning Techniques Applied in Iron and Steel Making Field: A Review
Kazumasa Tsutsui, Tokinaga Namba, Kengo Kihara et al. (6 authors)
Tetsu-to-Hagane
Open Access
Published: Dec 2022
1 citation
1 citation
183 days before retraction
Data‐driven modelling methods in sintering process: Current research status and perspectives
Yan Feng, Xinmin Zhang, Chunjie Yang et al. (6 authors)
The Canadian Journal of Chemical Engineering
Open Access
Published: Nov 2022
62 citations
62 citations
210 days before retraction
Quick Stats
Total Citations:
13
Years Since Retraction:
2.4 years
Open Access:
Yes
Last Checked:
Jul 24, 2025