Retraction
Artificial neural networks application to predict the compressive damage of lightweight geopolymer
Paper Information
Record ID:
25561
Author(s):
Journal:
Publication Date:
April 25, 2012
Retraction Date:
February 10, 2021
(4.8 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 (22)
22
Total Citations4
Post-Retraction(18.2%)
17
Pre-Retraction1
Same DayPost-Retraction Citation Analysis
0
Within 30 days
0
Within 1 year
2
After 2+ years
1460
Days since retraction (latest)
A Comprehensive Review of Sustainable Geopolymer Concrete Using Palm Oil Clinker: Environmental and Engineering Aspects
Khamees N. Abdulhaleem, Hussein M. Hamada, Ahmed I. Osman et al. (6 authors)
Energy Science & Engineering
Open Access
Published: Feb 2025
1 citation
1 citation
1460 days after retraction
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
1055 days after retraction
Developing an ANN prediction model for compressive strength of fly ash-based geopolymer concrete with experimental investigation
Nikhil Kumar Verma, Chakradhara Rao Meesala, Shailendra Kumar
Neural Computing and Applications
Published: Jan 2023
13 citations
13 citations
709 days after retraction
Retraction Note: Artificial neural networks for prediction of percentage of water absorption of geopolymers produced by waste ashes
Ali Nazari
Bulletin of Materials Science
Open Access
Published: Mar 2022
414 days after retraction
Retraction Note to: Artificial neural networks application to predict the compressive damage of lightweight geopolymer
Ali Nazari
Neural Computing and Applications
Open Access
Published: Feb 2021
14 citations
14 citations
Same day as retraction
Retraction Note to: ANN model to predict the effects of composition and heat treatment parameters on transformation start temperature of microalloyed steels
Gholamreza Khalaj, Ali Nazari, H. Yoozbashizadeh et al. (5 authors)
Neural Computing and Applications
Published: Jan 2021
22 days before retraction
Retraction Note to: Artificial neural networks for prediction Charpy impact energy of Al6061/SiCp-laminated nanocomposites
Ali Nazari, Vahid Reza Abdinejad
Neural Computing and Applications
Open Access
Published: Oct 2020
124 days before retraction
Artificial neural networks test for the prediction of chemical stability of pyroclastic deposits-based AAMs and comparison with conventional mathematical approach (MLR)
Claudio Finocchiaro, Germana Barone, Paolo Mazzoleni et al. (7 authors)
Journal of Materials Science
Open Access
Published: Sep 2020
18 citations
18 citations
147 days before retraction
Retraction Note to: Fuzzy logic-based prediction of compressive strength of lightweight geopolymers
Ali Nazari
Neural Computing and Applications
Open Access
Published: Jul 2020
221 days before retraction
Retraction Note to: Prediction water absorption resistance of lightweight geopolymers by artificial neural networks
Ali Nazari
Neural Computing and Applications
Open Access
Published: Jul 2020
221 days before 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
231 days before retraction
Retraction Note to: Prediction compressive strength of Portland cement-based geopolymers by artificial neural networks
Ali Nazari, Hadi Hajiallahyari, Ali Rahimi et al. (5 authors)
Neural Computing and Applications
Open Access
Published: Jun 2020
237 days before retraction
Retraction Note to: Utilizing ANFIS for prediction water absorption of lightweight geopolymers produced from waste materials
Ali Nazari
Neural Computing and Applications
Open Access
Published: Jun 2020
1 citation
1 citation
240 days before retraction
Retraction Note to: Predicting the effects of nanoparticles on early age compressive strength of ash-based geopolymers by artificial neural networks
Shadi Riahi, Ali Nazari
Neural Computing and Applications
Open Access
Published: Jun 2020
240 days before 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
301 days before 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
425 days before retraction
Influence of Aluminosilicate for the Prediction of Mechanical Properties of Geopolymer Concrete – Artificial Neural Network
S. Nagajothi, S. Elavenil
Silicon
Published: Jun 2019
65 citations
65 citations
608 days before retraction
New inorganic binders containing ashes from agricultural wastes
J. Payá, J. Monzó, M.V. Borrachero et al. (6 authors)
Elsevier eBooks
Published: Jan 2017
17 citations
17 citations
1501 days before retraction
ARTIFICIAL NEURAL NETWORK MODEL FOR FORECASTING CONCRETE COMPRESSIVE STRENGTH AND SLUMP IN EGYPT
Ashraf Henigal, Emad Elbeltgai, Mostafa Eldwiny et al. (4 authors)
Journal of Al-Azhar University Engineering Sector
Open Access
Published: Apr 2016
7 citations
7 citations
1776 days before retraction
RETRACTED ARTICLE: Application of gene expression programming to predict the compressive damage of lightweight aluminosilicate geopolymer
Ali Nazari
Neural Computing and Applications
Published: Sep 2012
19 citations
19 citations
3078 days before retraction
Predicting compressive strength of different geopolymers by artificial neural networks
Ali Nazari, F. Pacheco‐Torgal
Ceramics International
Open Access
Published: Sep 2012
61 citations
61 citations
3084 days before retraction
RETRACTED: Prediction early age compressive strength of OPC-based geopolymers with different alkali activators and seashell powder by gene expression programming
Ali Nazari, Mohammad Ghafouri Safarnejad
Ceramics International
Published: Aug 2012
29 citations
29 citations
3107 days before retraction
Quick Stats
Total Citations:
22
Years Since Retraction:
4.8 years
Open Access:
Yes
Last Checked:
Jul 24, 2025