Retraction
Prediction total specific pore volume of geopolymers produced from waste ashes by ANFIS
Paper Information
Record ID:
25490
Journal:
Publication Date:
December 16, 2011
Retraction Date:
February 16, 2021
(4.8 years years ago)
Subjects:
Country:
🇮🇷 IranArticle Type:
Publisher:
Elsevier
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed
Retraction Details
Retraction Reasons:
Nature of Retraction:
Retraction
Retraction Notice:
10.1016/j.ceramint.2021.02.048Additional Notes:
date of retraction unknown, estimated from notifications;
Citations (19)
19
Total Citations4
Post-Retraction(21.1%)
14
Pre-Retraction0
Same DayPost-Retraction Citation Analysis
0
Within 30 days
2
Within 1 year
1
After 2+ years
1479
Days since retraction (latest)
Paper citing Prediction total specific pore volume of geopolyme...
Unknown Authors
Unknown Journal
Published: Unknown
Machine Learning and Sustainable Geopolymer Materials: A Systematic Review
Ho Anh Thu Nguyen, Duy Hoang Pham, Yonghan Ahn et al. (5 authors)
Materials Today Sustainability
Open Access
Published: Mar 2025
1479 days after retraction
Corrosion of steel rebar in concrete induced by chloride ions under natural environments
Ye Tian, Guoyi Zhang, Hailong Ye et al. (10 authors)
Construction and Building Materials
Published: Feb 2023
178 citations
178 citations
716 days after retraction
Mix design of fly ash based alkali activated concrete
Chamila Gunasekara, Weena Lokuge, David W. Law et al. (4 authors)
Elsevier eBooks
Published: Jan 2022
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3 citations
319 days after retraction
Evaluation of Multivariate Adaptive Regression Splines and Artificial Neural Network for Prediction of Mean Sea Level Trend around Northern Australian Coastlines
Nawin Raj, Zahra Gharineiat
Mathematics
Open Access
Published: Oct 2021
8 citations
8 citations
250 days after retraction
Retraction Note to: Artificial neural networks to prediction total specific pore volume of geopolymers produced from waste ashes
Ali Nazari, Shadi Riahi
Neural Computing and Applications
Open Access
Published: May 2020
285 days before retraction
Retraction Note to: ANFIS-based prediction of the compressive strength of geopolymers with seeded fly ash and rice husk–bark ash
Ali Nazari, Gholamreza Khalaj, Shadi Riahi
Neural Computing and Applications
Open Access
Published: May 2020
290 days before retraction
Preparation and characterization of metal mine tailings based backfiling material through geopolymerization
Xing Jin, Yingliang Zhao, Quanguo Wang et al. (5 authors)
IOP Conference Series Materials Science and Engineering
Open Access
Published: Mar 2019
3 citations
3 citations
711 days before retraction
Effect of Nano-CuO on Engineering and Microstructure Properties of Fibre-Reinforced Mortars Incorporating Metakaolin: Experimental and Numerical Studies
Amir Ghanei, Faezeh Jafari, Mojdeh Mehrinejad Khotbehsara et al. (6 authors)
Materials
Open Access
Published: Oct 2017
23 citations
23 citations
1212 days before retraction
Modelling the effects of petroleum product contaminated sand on the compressive strength of concretes using fuzzy logic and artificial neural networks: A case study of diesel
Chidozie Chukwuemeka Nwobi-Okoye, Ikechukwu Etienne Umeonyiagu
African Journal of Science Technology Innovation and Development
Published: Jun 2016
9 citations
9 citations
1692 days before retraction
Lead immobilization by geopolymers based on mechanically activated fly ash
Violeta Nikolić, Miroslav Komljenović, Nataša Marjanović et al. (5 authors)
Ceramics International
Published: Jan 2014
105 citations
105 citations
2583 days before retraction
Application of fuzzy logic for prediction compressive strength of OPC based geopolymers
Ali Nazari
Materials Technology
Published: Oct 2012
3 citations
3 citations
3039 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
3113 days before retraction
RETRACTED ARTICLE: 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
Published: Jul 2012
22 citations
22 citations
3128 days before retraction
RETRACTED ARTICLE: 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
Published: Jul 2012
17 citations
17 citations
3128 days before retraction
RETRACTED: Prediction of the effects of nanoparticles on early-age compressive strength of ash-based geopolymers by fuzzy logic
Ali Nazari, Shadi Riahi
International Journal of Damage Mechanics
Published: Apr 2012
4 citations
4 citations
3236 days before retraction
Predicting the effects of nanoparticles on early age compressive strength of ash-based geopolymers by artificial neural networks
Shadi RiahiAli Nazari, Springer-Verlag London Limited
Unknown Journal
Published: Jan 2012
3 citations
3 citations
3334 days before retraction
RETRACTED ARTICLE: Artificial neural networks to prediction total specific pore volume of geopolymers produced from waste ashes
Ali Nazari, Shadi Riahi
Neural Computing and Applications
Published: Nov 2011
20 citations
20 citations
3387 days before retraction
RETRACTED ARTICLE: ANFIS-based prediction of the compressive strength of geopolymers with seeded fly ash and rice husk–bark ash
Ali Nazari, Gholamreza Khalaj, Shadi Riahi
Neural Computing and Applications
Published: Oct 2011
19 citations
19 citations
3407 days before retraction
Quick Stats
Total Citations:
19
Years Since Retraction:
4.8 years
Open Access:
Yes
Last Checked:
Jul 24, 2025