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Materials Science

D-Index
50
Citations
7472
World Ranking
10342
National Ranking
2903

Overview

Ming-Song Chen is affiliated with Central South University in China and has a research focus primarily in Computer Science and Engineering. Their work spans several key subfields, including Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, and Electrical and Electronic Engineering.

The scientist's research explores a range of topics, notably:

  • Privacy-Preserving Technologies in Data
  • Internet Traffic Analysis and Secure E-voting
  • Cloud Computing and Resource Management
  • Advanced Neural Network Applications
  • IoT and Edge/Fog Computing
  • Adversarial Robustness in Machine Learning
  • Anomaly Detection Techniques and Applications

Chen has published significantly in journals and conference venues such as arXiv (Cornell University), IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Journal of Systems Architecture, Journal of Circuits Systems and Computers, and IEEE Transactions on Computers. The highest number of publications appear in arXiv with 48 contributions, followed by 13 papers in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Their notable recent papers include:

  • Developing a stable high-performance soybean meal-based adhesive using a simple high-pressure homogenization technology (2020), Journal of Cleaner Production
  • Efficient Federated Learning for Cloud-Based AIoT Applications (2020), IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • FDA³: Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications (2020), IEEE Transactions on Industrial Informatics
  • Throughput-Conscious Energy Allocation and Reliability-Aware Task Assignment for Renewable Powered In-Situ Server Systems (2021), IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • A High-Performance Bio-Adhesive Using Hyperbranched Aminated Soybean Polysaccharide and Bio-Based Epoxide (2020), Advanced Materials Interfaces

Ming-Song Chen frequently collaborates with co-authors including Xian Wei, Ting Wang, Tongquan Wei, Ming Hu, and Junlong Zhou.

In addition to research papers, Chen has authored a book titled Machine Learning Empowered Intelligent Data Center Networking published by Springer Nature in 2023.

Best Publications

  • Constitutive modeling for elevated temperature flow behavior of 42CrMo steel

    Y.C. Lin;Ming-Song Chen;Jue Zhong

  • Prediction of 42CrMo steel flow stress at high temperature and strain rate

    Y.C. Lin;Ming-Song Chen;Jue Zhong

  • Constitutive descriptions for hot compressed 2124-T851 aluminum alloy over a wide range of temperature and strain rate

    Y.C. Lin;Yu-Chi Xia;Xiao-Min Chen;Ming-Song Chen

  • EBSD analysis of evolution of dynamic recrystallization grains and δ phase in a nickel-based superalloy during hot compressive deformation

    Y.C. Lin;Dao-Guang He;Ming-Song Chen;Xiao-Min Chen

  • A physically-based constitutive model for a typical nickel-based superalloy

    Y.C. Lin;Xiao-Min Chen;Dong-Xu Wen;Ming-Song Chen

  • Effect of temperature and strain rate on the compressive deformation behavior of 42CrMo steel

    Y.C. Lin;Ming-Song Chen;Jue Zhong

  • Modeling of flow stress of 42CrMo steel under hot compression

    Yong-Cheng Lin;Ming-Song Chen;Jun Zhang

  • The kinetics of dynamic recrystallization of 42CrMo steel

    Ming-Song Chen;Y.C. Lin;Xue-Song Ma

  • Microstructural evolution of a nickel-based superalloy during hot deformation

    Xiao-Min Chen;Y.C. Lin;Ming-Song Chen;Hong-Bin Li

  • Study of dynamic recrystallization in a Ni-based superalloy by experiments and cellular automaton model

    Yan-Xing Liu;Y.C. Lin;Hong-Bin Li;Dong-Xu Wen

  • Microstructural evolution and constitutive models to predict hot deformation behaviors of a nickel-based superalloy

    Y.C. Lin;Fu-Qi Nong;Xiao-Min Chen;Dong-Dong Chen

  • Study of static recrystallization kinetics in a low alloy steel

    Y.C. Lin;Ming-Song Chen;Jue Zhong

  • Microstructural evolution in 42CrMo steel during compression at elevated temperatures

    Y.C. Lin;Ming-Song Chen;Jue Zhong

  • Microstructural evolution and support vector regression model for an aged Ni-based superalloy during two-stage hot forming with stepped strain rates

    Dao-Guang He;Y.C. Lin;Jian Chen;Dong-Dong Chen

  • Numerical simulation for stress/strain distribution and microstructural evolution in 42CrMo steel during hot upsetting process

    Y.C. Lin;Ming-Song Chen;Jue Zhong

  • Effects of initial microstructures on hot tensile deformation behaviors and fracture characteristics of Ti-6Al-4V alloy

    Y.C. Lin;Xing-You Jiang;Ci-jun Shuai;Chun-Yang Zhao

  • Study of metadynamic recrystallization behaviors in a low alloy steel

    Y.C. Lin;Ming-Song Chen;Jue Zhong

  • Study of static recrystallization behavior in hot deformed Ni-based superalloy using cellular automaton model

    Y.C. Lin;Yan-Xing Liu;Ming-Song Chen;Ming-Hui Huang

  • Effects of deformation temperatures on stress/strain distribution and microstructural evolution of deformed 42CrMo steel

    Y.C. Lin;Ming-Song Chen;Jue Zhong

  • Modeling and simulation of dynamic recrystallization behavior for 42CrMo steel by an extended cellular automaton method

    Ming-Song Chen;Wu-Quan Yuan;Y.C. Lin;Hong-Bin Li

  • Dislocation substructures evolution and an adaptive-network-based fuzzy inference system model for constitutive behavior of a Ni-based superalloy during hot deformation

    Dong-Dong Chen;Y.C. Lin;Ying Zhou;Ming-Song Chen

Frequent Co-Authors

Y.C. Lin
Y.C. Lin Central South University
Cijun Shuai
Cijun Shuai Central South University

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