Retraction
Predicting the effects of nanoparticles on early age compressive strength of ash-based geopolymers by artificial neural networks
Paper Information
Record ID:
23672
Author(s):
Journal:
Publication Date:
July 26, 2012
Retraction Date:
June 15, 2020
(5.4 years years ago)
Subjects:
Institution:
Department of Materials Science and Engineering, Saveh Branch, Islamic Azad University, Saveh, IranCountry:
š®š· IranArticle Type:
Publisher:
Springer
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed
Retraction Details
Citations (14)
14
Total Citations6
Post-Retraction(42.9%)
5
Pre-Retraction1
Same DayPost-Retraction Citation Analysis
1
Within 30 days
4
Within 1 year
2
After 2+ years
1592
Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Paper citing Predicting the effects of nanoparticles on early a...
Unknown Authors
Unknown Journal
Published: Unknown
Paper citing Predicting the effects of nanoparticles on early a...
Unknown Authors
Unknown Journal
Published: Oct 2024
1592 days after retraction
New hybrid support vector regression methods for predicting fresh and hardened properties of self-compacting concrete
Jinyan Wang, FangāJing Wu
Journal of Intelligent & Fuzzy Systems
Published: Aug 2022
4 citations
4 citations
802 days after 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
218 days after 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
116 days after retraction
Paper citing Predicting the effects of nanoparticles on early a...
Unknown Authors
Unknown Journal
Published: Aug 2020
47 days after 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
3 days after 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
Same day as retraction
The effect of nanomaterials on properties of geopolymers derived from industrial by-products: A state-of-the-art review
Bharat Bhushan Jindal, Rahul Sharma
Construction and Building Materials
Published: Apr 2020
134 citations
134 citations
54 days before retraction
Prediction of fresh and hardened properties of self-compacting concrete using support vector regression approach
Prasenjit Saha, Prasenjit Debnath, Paul Thomas
Neural Computing and Applications
Published: Jun 2019
125 citations
125 citations
367 days before retraction
Influence of Aluminosilicate for the Prediction of Mechanical Properties of Geopolymer Concrete ā Artificial Neural Network
S. Nagajothi, S. Elavenil
Silicon
Published: Jun 2019
65 citations
65 citations
368 days before retraction
Predicting compressive strength of different geopolymers by artificial neural networks
Ali Nazari, F. PachecoāTorgal
Ceramics International
Open Access
Published: Sep 2012
61 citations
61 citations
2844 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
2867 days before retraction
Quick Stats
Total Citations:
14
Years Since Retraction:
5.4 years
Open Access:
Yes
Last Checked:
Jul 24, 2025