Retraction
ANN model to predict the effects of composition and heat treatment parameters on transformation start temperature of microalloyed steels
Paper Information
Record ID:
25077
Journal:
Publication Date:
October 25, 2012
Retraction Date:
January 19, 2021
(4.8 years years ago)
Subjects:
Institutions:
Article Type:
Publisher:
Springer
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed
Retraction Details
Citations (12)
12
Total Citations5
Post-Retraction(41.7%)
6
Pre-Retraction1
Same DayPost-Retraction Citation Analysis
0
Within 30 days
2
Within 1 year
3
After 2+ years
1077
Days since retraction (latest)
Process optimization of quenching and partitioning by machine learning aided with orthogonal experimental design
Na Dai, Jian Li, Haichen Qin et al. (7 authors)
Materials Research Express
Open Access
Published: Jan 2024
1 citation
1 citation
1077 days after retraction
Machine learning study on time–temperature–transformation diagram of carbon and low-alloy steel
Xiaoya Huang, Biao Zhang, Qiang Tian et al. (9 authors)
Journal of Iron and Steel Research International
Published: Mar 2023
5 citations
5 citations
792 days after retraction
Prediction of continuous cooling transformation diagrams in steels using light gradient boosting and rule-based optimization
Sarbari Ganguly, Sougat Manna
Materials and Manufacturing Processes
Published: Mar 2023
4 citations
4 citations
787 days after retraction
Artificial neural network modeling to evaluate and predict the mechanical strength of duplex stainless steel during casting
Titus Thankachan, K. Soorya Prakash, Sathiskumar Jothi
Sadhana
Published: Oct 2021
7 citations
7 citations
259 days after retraction
Machine Learning Hot Deformation Behavior of Nb Micro-alloyed Steels and Its Extrapolation to Dynamic Recrystallization Kinetics
Xin Li, Xiaoguang Zhou, Guangming Cao et al. (6 authors)
Metallurgical and Materials Transactions A
Published: May 2021
12 citations
12 citations
120 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
Same day as retraction
Application of generalized regression neural network optimized by fruit fly optimization algorithm for fracture toughness in a pearlitic steel
Ling Qiao, Yong Liu, Jingchuan Zhu
Engineering Fracture Mechanics
Published: Jun 2020
45 citations
45 citations
229 days before retraction
System for the recognition of wear patterns on microstructures of carbon steels using a multilayer perceptron
EDGAR AUGUSTO RUELAS SANTOYO, José Antonio Vázquez-López, JAVIER YÁÑEZ MENDIOLA et al. (6 authors)
Ingeniería e Investigación
Open Access
Published: Jan 2018
5 citations
5 citations
1114 days before retraction
Artificial Neural Network-Based Modeling for Impact Energy of Cast Duplex Stainless Steel
Titus Thankachan, K. Sooryaprakash
Arabian Journal for Science and Engineering
Published: Oct 2017
12 citations
12 citations
1184 days before retraction
Artificial neural network application to study quantitative relationship between silicide and fracture toughness of Nb-Si alloys
Guangxu Liu, Lina Jia, Bin Kong et al. (5 authors)
Materials & Design
Published: May 2017
58 citations
58 citations
1351 days before retraction
Predictions of Machine Vibrations Using Artificial Neural Networks Trained by Gravitational Search Algorithm and Back-Propagation Algorithm
Quang Hung
International Journal of Artificial Intelligence
Published: Mar 2017
2 citations
2 citations
1406 days before 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
1488 days before retraction
Quick Stats
Total Citations:
12
Years Since Retraction:
4.8 years
Open Access:
Yes
Last Checked:
Jul 24, 2025