Retraction
ANFIS-based prediction of the compressive strength of geopolymers with seeded fly ash and rice husk–bark ash
Paper Information
Record ID:
23290
Author(s):
Journal:
Publication Date:
October 21, 2011
Retraction Date:
May 02, 2020
(5.5 years years ago)
Subjects:
Institution:
Department of Materials Engineering, Science and Research branch, Islamic Azad University, Tehran, IranCountry:
🇮🇷 IranArticle Type:
Publisher:
Springer
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed
Retraction Details
Citations (15)
15
Total Citations6
Post-Retraction(40.0%)
6
Pre-Retraction1
Same DayPost-Retraction Citation Analysis
0
Within 30 days
2
Within 1 year
3
After 2+ years
1674
Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Paper citing ANFIS-based prediction of the compressive strength...
Unknown Authors
Unknown Journal
Published: Unknown
Paper citing ANFIS-based prediction of the compressive strength...
Unknown Authors
Unknown Journal
Published: Dec 2024
1674 days after retraction
A comprehensive review on fly ash-based geopolymer: a pathway for sustainable future
Govind Gaurav, Shreesh Chandra Kandpal, Deepika Mishra et al. (4 authors)
Journal of Sustainable Cement-Based Materials
Published: Sep 2023
13 citations
13 citations
1237 days after retraction
Paper citing ANFIS-based prediction of the compressive strength...
Unknown Authors
Unknown Journal
Published: Jun 2023
1154 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
698 days after retraction
Paper citing ANFIS-based prediction of the compressive strength...
Unknown Authors
Unknown Journal
Published: May 2021
364 days after retraction
Retraction Note to: Artificial neural networks for prediction compressive strength of geopolymers with seeded waste ashes
Ali Nazari
Neural Computing and Applications
Open Access
Published: Jun 2020
47 days after 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
Same day as retraction
The improvement on constitutive modeling of Nb-Ti micro alloyed steel by using intelligent algorithms
Siwei Wu, Xiaoguang Zhou, Guangming Cao et al. (5 authors)
Materials & Design
Published: Dec 2016
47 citations
47 citations
1226 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
1402 days before retraction
Fly ash-based geopolymer: clean production, properties and applications
Xiao Yu Zhuang, Liang Chen, Sridhar Komarneni et al. (8 authors)
Journal of Cleaner Production
Published: Mar 2016
866 citations
866 citations
1509 days before retraction
Paper citing ANFIS-based prediction of the compressive strength...
Unknown Authors
Unknown Journal
Published: Jul 2015
1739 days before retraction
Paper citing ANFIS-based prediction of the compressive strength...
Unknown Authors
Unknown Journal
Published: Apr 2014
2223 days before retraction
Paper citing Artificial neural networks to prediction total spe...
Unknown Authors
Unknown Journal
Published: Dec 2013
2344 days before retraction
Quick Stats
Total Citations:
15
Years Since Retraction:
5.5 years
Open Access:
Yes
Last Checked:
Jul 24, 2025