Ming Lei

Tianjin University of Technology

Papers

1

Total Citations

2

H-Index

1

About

Ming Lei is a researcher specializing in industrial automation, robotics, and intelligent manufacturing systems, with a particular focus on advancing welding technologies for large-scale production environments. His most notable work, "Data Transmission and Management System for Robotized Welding Station" (2019), addresses a critical gap in the automation of port machinery manufacturing — a sector that has historically relied heavily on manual welding processes. In this research, Lei investigates the integration of data transmission and management frameworks into robotized welding stations, contributing to the broader push toward fully automated production lines in sea port machinery manufacturing. His work recognizes that welding operations, being fundamental to structural integrity and production efficiency, demand robust automation solutions that go beyond what conventional approaches offer. While currently accumulating citations in the early stages of its scholarly impact, this contribution positions Lei as a forward-thinking engineer tackling real-world industrial challenges at the intersection of robotics, data systems, and advanced manufacturing. Students and researchers interested in smart factory technologies and industrial robotics will find Lei's work a valuable entry point into the automation of heavy-industry production workflows.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Data Transmission and Management System for Robotized Welding Station
2 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Tianjin University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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