Retraction

Prediction of Chemical Corrosion Rate and Remaining Life of Buried Oil and Gas Pipelines in Changqing Gas Field

Citations (6)

6
Total Citations
3
Post-Retraction
(50.0%)
1
Pre-Retraction
1
Same Day
Post-Retraction Citation Analysis
0 Within 30 days
2 Within 1 year
0 After 2+ years
398 Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Effect of WC Particle Addition on the Wear Resistance of FeCoNiAlTi Coatings
Yilong Zhang, Dongli Lv, Li Tian et al. (4 authors)
Journal of Materials Engineering and Performance
Published: Dec 2024
398 days after retraction
Prediction of external corrosion rate for buried oil and gas pipelines: a novel deep learning with DNN and attention mechanism method
Yu Guang, Wenhe Wang, Hongwei Song et al. (6 authors)
International Journal of Pressure Vessels and Piping
Published: May 2024
18 citations
177 days after retraction
Corrosion Mitigation Using Green Chemicals
Ramazan Solmaz, Gülfeza Kardaş
Materials horizons
Published: Jan 2024
1 citation
33 days after retraction
Retracted: Prediction of Chemical Corrosion Rate and Remaining Life of Buried Oil and Gas Pipelines in Changqing Gas Field
Journal of Chemistry
Journal of Chemistry Open Access
Published: Nov 2023
Same day as retraction
Emerging AI technologies for corrosion monitoring in oil and gas industry: A comprehensive review
Ali Hussein Khalaf, Ying Xiao, Ning Xu et al. (8 authors)
Engineering Failure Analysis
Published: Oct 2023
55 citations
42 days before retraction
Quick Stats
Total Citations: 10
Years Since Retraction: 2.0 year
Open Access: Yes
Last Checked: Jul 24, 2025
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