Papers

2

Total Citations

18

H-Index

2

About

Xiuwei Wang is a researcher at the forefront of intelligent manufacturing and robotic welding automation. Their primary research areas include machine learning applications in welding, Gas Metal Arc Welding (GMAW) expert systems, and Wire Arc Additive Manufacturing (WAAM). Wang’s most significant contribution is the development of an intelligent expert system for GMAW that leverages machine learning to simplify robot preparation and enhance welding process automation—a breakthrough that earned 16 citations since 2023. This work streamlines the transition from user input to optimal welding parameters, reducing human intervention and boosting industrial efficiency. Additionally, Wang designed a WAAM system based on industrial robots, demonstrating expertise in additive manufacturing integration. Their research directly addresses critical challenges in manufacturing automation, offering practical solutions for smarter, more adaptive production environments. With a growing citation footprint, Xiuwei Wang is establishing themselves as a key contributor to the evolution of intelligent welding and robotic fabrication technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
18
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
GMAW welding procedure expert system based on machine learning
16 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Lincoln Electric (United States), East China University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago