Retraction
Prediction of Compressive Strength of Geopolymers with Seeded Fly Ash and Rice Husk–Bark Ash by Gene Expression Programming
Paper Information
Record ID:
21224
Publication Date:
December 21, 2011
Retraction Date:
September 13, 2019
(6.2 years years ago)
Subjects:
Institutions:
Country:
🇮🇷 IranArticle Type:
Publisher:
SAGE Publications
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed
Retraction Details
Citations (8)
8
Total Citations7
Post-Retraction(87.5%)
1
Pre-Retraction0
Same DayPost-Retraction Citation Analysis
0
Within 30 days
6
Within 1 year
1
After 2+ years
1571
Days since retraction (latest)
Strength Prediction of Geopolymer Concrete With Wide‐Ranged Binders and Properties Using Artificial Neural Network
Md Merajul Islam, Md. Al-Mamun Provath, G. M. Sadiqul Islam et al. (4 authors)
Advances in Civil Engineering
Open Access
Published: Jan 2024
1571 days after retraction
Retraction Note to: Predicting the total specific pore volume of geopolymers produced from waste ashes by gene expression programming
Ali Nazari
Neural Computing and Applications
Open Access
Published: Jul 2020
1 citation
1 citation
295 days after retraction
Retraction Note to: Artificial neural networks for prediction compressive strength of geopolymers with seeded waste ashes
Ali Nazari
Neural Computing and Applications
Open Access
Published: Jun 2020
279 days after retraction
Retraction Note to: Artificial neural networks to prediction total specific pore volume of geopolymers produced from waste ashes
Ali Nazari, Shadi Riahi
Neural Computing and Applications
Open Access
Published: May 2020
237 days after retraction
Retraction Note to: Application of gene expression programming to predict the compressive damage of lightweight aluminosilicate geopolymer
Ali Nazari
Neural Computing and Applications
Open Access
Published: Apr 2020
215 days after retraction
Retraction Note to: Predicting the effects of nanoparticles on compressive strength of ash-based geopolymers by gene expression programming
Ali Nazari, Shadi Riahi
Neural Computing and Applications
Open Access
Published: Apr 2020
215 days after retraction
Prediction of engineering properties of fly ash-based geopolymer using artificial neural networks
Yifeng Ling, Kejin Wang, Xuhao Wang et al. (4 authors)
Neural Computing and Applications
Published: Dec 2019
58 citations
58 citations
91 days after retraction
Paper citing Prediction of Compressive Strength of Geopolymers ...
Unknown Authors
Unknown Journal
Published: Nov 2012
2498 days before retraction
Quick Stats
Total Citations:
8
Years Since Retraction:
6.2 years
Open Access:
Yes
Last Checked:
Never