World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
55
Citations
7889
World Ranking
927
National Ranking
387

Overview

YuMing Zhang is affiliated with the University of Kentucky in the United States and has made substantial contributions to the field of engineering, particularly within mechanical engineering and related subfields.

The primary research areas of Zhang's work include:

  • Welding Techniques and Residual Stresses
  • Non-Destructive Testing Techniques
  • Additive Manufacturing Materials and Processes
  • Manufacturing Process and Optimization
  • Advanced Machining Processes and Optimization
  • Soil Carbon and Nitrogen Dynamics
  • Thermography and Photoacoustic Techniques

Zhang's publication record shows productivity mainly in engineering with a focus on mechanical engineering, electrical and electronic engineering, industrial and manufacturing engineering, mechanics of materials, and control and systems engineering.

Frequent publication venues include:

  • Journal of Manufacturing Processes
  • Welding in the World
  • SSRN Electronic Journal
  • Agronomy
  • Journal of Manufacturing Systems

Zhang has co-authored extensively with several researchers, among whom the most frequent collaborators are:

  • Rui Yu
  • Wenxu Dong
  • Chunsheng Hu
  • Yue Cao
  • Qiyue Wang

Recent notable publications by Zhang cover topics in additive manufacturing, welding, and digital twin technologies, including:

  • "A review on wire arc additive manufacturing: Monitoring, control and a framework of automated system," 2020, Journal of Manufacturing Systems
  • "Digital Twin for Human-Robot Interactive Welding and Welder Behavior Analysis," 2020, IEEE/CAA Journal of Automatica Sinica
  • "End-to-end prediction of weld penetration: A deep learning and transfer learning based method," 2020, Journal of Manufacturing Processes
  • "Deep learning-empowered digital twin for visualized weld joint growth monitoring and penetration control," 2020, Journal of Manufacturing Systems
  • "A tutorial on deep learning-based data analytics in manufacturing through a welding case study," 2020, Journal of Manufacturing Processes

Zhang has also contributed to book publications under the Springer Nature publisher, with multiple editions of "Transactions on Intelligent Welding Manufacturing" released between 2020 and 2023.

Best Publications

  • Weld deposition-based rapid prototyping: a preliminary study

    YuMing Zhang;Yiwei Chen;Pengjiu Li;Alan T Male

  • A review on wire arc additive manufacturing: Monitoring, control and a framework of automated system

    Chunyang Xia;Chunyang Xia;Zengxi Stephen Pan;Joseph W Polden;Hui Jun Li

  • Real-Time Image Processing for Monitoring of Free Weld Pool Surface

    R. Kovacevic;Y. M. Zhang

  • Sensing and Control of Weld Pool Geometry for Automated GTA Welding

    R. Kovacevic;Y. M. Zhang;S. Ruan

  • Automated system for welding-based rapid prototyping

    Yu Ming Zhang;Pengjiu Li;Yiwei Chen;Alan T. Male

  • End-to-end prediction of weld penetration: A deep learning and transfer learning based method

    Unknown

  • Model-Based Predictive Control of Weld Penetration in Gas Tungsten Arc Welding

    Yu Kang Liu;Yu Ming Zhang

  • Deep learning-empowered digital twin for visualized weld joint growth monitoring and penetration control

    Unknown

  • Digital Twin for Human-Robot Interactive Welding and Welder Behavior Analysis

    Qiyue Wang;Wenhua Jiao;Peng Wang;YuMing Zhang

  • A new heat source model for keyhole plasma arc welding in FEM analysis of the temperature profile

    C. S. Wu;H. G. Wang;Y. M. Zhang

  • Characterization and real-time measurement of geometrical appearance of the weld pool

    Y.M. Zhang;R. Kovacevic;L. Li

  • Characterization of Three-Dimensional Weld Pool Surface in GTAW

    W Zhang;Y Liu;X Wang;Y. M Zhang

  • Double electrodes improve GMAW heat input control

    Y. M Zhang;M Jiang;W Lu

  • Control of 3D weld pool surface

    YuKang Liu;YuMing Zhang

  • Double-Electrode Arc Welding Process: Principle, Variants, Control and Developments

    Yi Lu;ShuJun Chen;Yu Shi;Xiangrong Li

  • A tutorial on deep learning-based data analytics in manufacturing through a welding case study

    Qiyue Wang;Wenhua Jiao;Peng Wang;YuMing Zhang

  • Dynamic Neuro-Fuzzy-Based Human Intelligence Modeling and Control in GTAW

    YuKang Liu;WeiJie Zhang;YuMing Zhang

  • Active Metal Transfer Control by Monitoring Excited Droplet Oscillation

    Y. M. Zhang;E. Liguo;R. Kovacevic

  • Advanced Welding Manufacturing: A Brief Analysis and Review of Challenges and Solutions

    Yu Ming Zhang;Yu-Ping Yang;Wei Zhang;Suck-Joo Na

  • Measurement and Analysis of Three-Dimensional Specular Gas Tungsten Arc Weld Pool Surface

    H. S. Song;Y. M. Zhang

  • Numerical analysis of metal transfer in gas metal arc welding

    G. Wang;P. G. Huang;Y. M. Zhang

  • Iterative Local ANFIS-Based Human Welder Intelligence Modeling and Control in Pipe GTAW Process: A Data-Driven Approach

    YuKang Liu;YuMing Zhang

  • Numerical Analysis of Metal Transfer in Gas Metal Arc Welding under Modified Pulsed Current Conditions

    G. Wang;P. G. Huang;Y. M. Zhang

  • Toward Welding Robot With Human Knowledge: A Remotely-Controlled Approach

    YuKang Liu;YuMing Zhang

  • Metal Transfer in Double-Electrode Gas Metal Arc Welding

    Kehai Li;YuMing Zhang

Frequent Co-Authors

Radovan Kovacevic
Radovan Kovacevic Southern Methodist University
Ruigang Yang
Ruigang Yang University of Kentucky
Chuansong Wu
Chuansong Wu Shandong University
Zhili Feng
Zhili Feng Oak Ridge National Laboratory

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