Papers

2

Total Citations

12

H-Index

2

About

Baihui Chen is an emerging researcher at the intersection of advanced manufacturing, wireless communication technologies, and intelligent automation. Their work focuses primarily on the integration of 5G connectivity with modern manufacturing processes, exploring how next-generation wireless infrastructure can fundamentally transform industrial operations. Chen's most notable contribution, "Feasibility of 5G-enabled process monitoring in milling operations" (2024, 7 citations), investigates the real-world potential of 5G for enabling real-time data transmission, remote control, and enhanced quality control in precision machining environments — directly addressing the practical challenges of deploying such infrastructure in industrial settings. Their complementary study on 5G-cloud-based robotic part repairing (2024, 5 citations) further demonstrates their commitment to pushing the boundaries of smart manufacturing, combining computer vision with cloud and edge computing to enable autonomous robotic repair systems. Together, these works position Chen as a forward-thinking researcher helping to lay the technical and conceptual groundwork for Industry 4.0 and beyond. Though early in their career, Chen's rapidly accumulating citations signal growing recognition within the advanced manufacturing and intelligent systems communities, making their future contributions ones to watch closely.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Feasibility of 5G-enabled process monitoring in milling operations
7 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Rutgers, The State University of New Jersey, Manufacturing Institute

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago