Retraction
Experimental study and computer-aided prediction of percentage of water absorption of geopolymers produced by waste fly ash and rice husk bark ash
Paper Information
Record ID:
41707
Author(s):
Journal:
Publication Date:
April 23, 2012
Retraction Date:
November 21, 2022
(3.0 years years ago)
Subject:
Broad Categories:
Materials Science
Materials Science
Specific Fields:
Materials Science
Materials Science
Institution:
Department of Materials Science and Engineering, Saveh Branch, Islamic Azad University, Saveh, IranCountry:
🇮🇷 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.mineng.2022.107918Citations (21)
21
Total Citations4
Post-Retraction(19.0%)
17
Pre-Retraction0
Same DayPost-Retraction Citation Analysis
1
Within 30 days
3
Within 1 year
0
After 2+ years
406
Days since retraction (latest)
Mortar Rheology with Partial Replacement of Lime with Dredging Residue
I. D. Batista, Markssuel Teixeira Marvila, Jorge Freitas et al. (10 authors)
The minerals, metals & materials series
Published: Jan 2024
406 days after retraction
Incorporating potassium-rich waste material in a sustainable way to stabilize dispersive clay: A novel practical approach for the construction industry
Waqas Hassan, Badee Alshameri, Syed Muhammad Jamil et al. (6 authors)
Construction and Building Materials
Published: Aug 2023
29 citations
29 citations
255 days after retraction
Pulsed electrodeposition of Ni-W coatings predicts microhardness via gene expression programming
Zahra Shojaei, Gholam Reza Khayati
Journal of Applied Electrochemistry
Published: Jan 2023
4 citations
4 citations
53 days after retraction
Applications of wood ash as a construction material in civil engineering: a review
Ruisheng Wang, Peer Haller
Biomass Conversion and Biorefinery
Published: Dec 2022
24 citations
24 citations
10 days after retraction
A Data-Driven Influential Factor Analysis Method for Fly Ash–Based Geopolymer Using Optimized Machine-Learning Algorithms
Guowei Ma, Aidi Cui, Yimiao Huang et al. (4 authors)
Journal of Materials in Civil Engineering
Published: Apr 2022
20 citations
20 citations
212 days before 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
235 days before retraction
Modeling of manganese recovery from waste Li-ion batteries by gene expression programming
Hossein Ebrahimzade, Gholam Reza Khayati, Mahin Schaffie
Journal of Material Cycles and Waste Management
Published: Aug 2021
450 days before retraction
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
1 citation
870 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
950 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
950 days before retraction
Towards Intelligent Mining for Backfill: A genetic programming-based method for strength forecasting of cemented paste backfill
Chongchong Qi, Xiaolin Tang, Xiangjian Dong et al. (6 authors)
Minerals Engineering
Published: Jan 2019
97 citations
97 citations
1410 days before retraction
A novel predictive model for estimation of cobalt leaching from waste Li-ion batteries: Application of genetic programming for design
Hossein Ebrahimzade, Gholam Reza Khayati, Mahin Schaffie
Journal of environmental chemical engineering
Published: May 2018
33 citations
33 citations
1637 days before retraction
A review on mineral waste for chemical-activated binders: mineralogical and chemical characteristics
Naim Sedira, João Castro-Gomes, Gediminas Kastiukas et al. (5 authors)
Mining Science
Published: Jan 2017
19 citations
19 citations
2150 days before retraction
A review on thermophysical evaluation of alkali-activated geopolymers
M. Salahuddin, Norkhairunnisa Mazlan, Faizal Mustapha
Ceramics International
Published: Dec 2014
78 citations
78 citations
2904 days before retraction
Computer-aided modeling for predicting layer thickness of a duplex treated ceramic coating on tool steels
Gholamreza Khalaj, Hesam Pouraliakbar
Ceramics International
Published: Nov 2013
41 citations
41 citations
3303 days before retraction
Modeling the compressive strength of geopolymeric binders by gene expression programming-GEP
Ali Nazari, F. Pacheco‐Torgal
Expert Systems with Applications
Open Access
Published: Apr 2013
57 citations
57 citations
3503 days before retraction
Determining ultimate bearing capacity of shallow foundations using a genetic programming system
Hsing‐Chih Tsai, Yaw-Yauan Tyan, Yun-Wu Wu et al. (4 authors)
Neural Computing and Applications
Published: Sep 2012
25 citations
25 citations
3726 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
3727 days before retraction
RETRACTED ARTICLE: Predicting the total specific pore volume of geopolymers produced from waste ashes by gene expression programming
Ali Nazari
Neural Computing and Applications
Published: Aug 2012
7 citations
7 citations
3736 days before retraction
RETRACTED ARTICLE: Predicting the effects of nanoparticles on compressive strength of ash-based geopolymers by gene expression programming
Ali Nazari, Shadi Riahi
Neural Computing and Applications
Published: Aug 2012
20 citations
20 citations
3751 days before retraction
Compressive strength of geopolymers produced by ordinary Portland cement: Application of genetic programming for design
Ali Nazari
Materials & Design (1980-2015)
Published: Jul 2012
37 citations
37 citations
3780 days before retraction
Quick Stats
Total Citations:
21
Years Since Retraction:
3.0 years
Open Access:
Yes
Last Checked:
Jul 24, 2025