Retraction

Application of gene expression programming to predict the compressive damage of lightweight aluminosilicate geopolymer

Paper Information

Record ID:
23134
Author(s):
Publication Date:
September 09, 2012
Retraction Date:
April 15, 2020 (5.6 years years ago)
Article Type:
Publisher:
Springer
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed

Retraction Details

Nature of Retraction:

Retraction

Retraction Notice:
10.1007/s00521-020-04892-w

Citations (12)

12
Total Citations
8
Post-Retraction
(66.7%)
1
Pre-Retraction
2
Same Day
Post-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
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
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
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