Jaewon Choi

Missouri University of Science and Technology

Papers

2

Total Citations

18

H-Index

1

About

Jaewon Choi’s research spans two transformative frontiers: advanced manufacturing and intelligent healthcare systems. His pioneering work in laser-aided direct metal deposition (DMD) established foundational principles for additive manufacturing, demonstrating how laser cladding integrated with CNC machines or robotic systems can fabricate metal components directly from 3D CAD models. His 2002 paper on process and property control in DMD, with 17 citations, remains a cornerstone reference for researchers in laser-based additive manufacturing, influencing subsequent developments in rapid prototyping and repair technologies. More recently, Choi has turned his analytical lens to the intersection of artificial intelligence and medicine, employing text mining to map knowledge structures in AI-driven healthcare. His 2019 study explores how AI, mobile health, and autonomous surgical robots are reshaping diagnostics and treatment—a timely contribution as the medical field undergoes digital transformation. This dual expertise—bridging physical manufacturing processes with computational healthcare analytics—positions Choi as a versatile researcher whose work addresses both industrial production challenges and the evolving landscape of precision medicine. His trajectory from materials processing to AI applications reflects a rare ability to synthesize engineering rigor with emerging technological paradigms.

Research Focus

Key Achievements

1
H-Index
2
Papers
18
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Process and Properties Control in Laser Aided Direct Metal/Materials Deposition Process
17 citations · 2002
📈 Most Prolific Year: 2002 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Missouri University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago