Retraction
Application of gene expression programming to predict the compressive damage of lightweight aluminosilicate geopolymer
Paper Information
Record ID:
23134
Author(s):
Journal:
Publication Date:
September 09, 2012
Retraction Date:
April 15, 2020
(5.6 years years ago)
Subjects:
Institution:
Department of Materials Science and Engineering, Saveh Branch, Islamic Azad University, Saveh, IranCountry:
🇮🇷 IranArticle Type:
Publisher:
Springer
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed
Retraction Details
Citations (12)
12
Total Citations8
Post-Retraction(66.7%)
1
Pre-Retraction2
Same DayPost-Retraction Citation Analysis
0
Within 30 days
3
Within 1 year
1
After 2+ years
783
Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Paper citing Application of gene expression programming to pred...
Unknown Authors
Unknown Journal
Published: Jun 2022
783 days after retraction
Paper citing Application of gene expression programming to pred...
Unknown Authors
Unknown Journal
Published: Apr 2022
726 days after retraction
Modeling of manganese recovery from waste Li-ion batteries by gene expression programming
Hossein Ebrahimzade, Gholam Reza Khayati, Mahin Schaffie
Journal of Material Cycles and Waste Management
Published: Aug 2021
500 days after retraction
Paper citing Prediction compressive strength of Portland cement...
Unknown Authors
Unknown Journal
Published: Jul 2021
442 days after retraction
Paper citing Application of gene expression programming to pred...
Unknown Authors
Unknown Journal
Published: Jun 2021
432 days after retraction
Paper citing Predicting the effects of nanoparticles on compres...
Unknown Authors
Unknown Journal
Published: Dec 2020
247 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
80 days after retraction
Estimating strength properties of geopolymer self-compacting concrete using machine learning techniques
Paul O. Awoyera, Mehmet Serkan Kırgız, Amelec Viloria et al. (4 authors)
Journal of Materials Research and Technology
Open Access
Published: Jun 2020
175 citations
175 citations
70 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
Same day as 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
Same day as retraction
Paper citing Predicting the effects of nanoparticles on compres...
Unknown Authors
Unknown Journal
Published: Jan 2016
1560 days before retraction
Quick Stats
Total Citations:
12
Years Since Retraction:
5.6 years
Open Access:
Yes
Last Checked:
Jul 24, 2025