Retraction

Predicting the total specific pore volume of geopolymers produced from waste ashes by gene expression programming

Paper Information

Record ID:
23666
Author(s):
Publication Date:
August 30, 2012
Retraction Date:
July 04, 2020 (5.4 years years ago)
Subject:
Broad Categories:
Materials Science
Specific Fields:
Materials Science
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/s00521-020-05155-4

Citations (4)

4
Total Citations
0
Post-Retraction
3
Pre-Retraction
1
Same Day
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
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
80 days before 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
80 days before retraction
Paper citing Predicting the total specific pore volume of geopo...
Unknown Authors
Unknown Journal
Published: Jan 2020
177 days before retraction
Quick Stats
Total Citations: 4
Years Since Retraction: 5.4 years
Open Access: Yes
Last Checked: Jul 24, 2025
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