Lang Yuan

University of South Carolina

Papers

1

Total Citations

3

H-Index

1

About

Lang Yuan is a pioneering figure at the intersection of artificial intelligence and advanced manufacturing, whose work is reshaping the future of digital fabrication. His primary research areas include AI-augmented additive manufacturing (AI2AM), intelligent process optimization, and autonomous production systems. Yuan’s seminal contribution is the conceptualization and roadmap for embedding artificial intelligence as a central, adaptive framework within additive manufacturing—moving beyond AI as a mere tool to a core driver of self-optimizing, real-time decision-making in 3D printing. His most cited work, the 2026 "Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing," has already garnered 3 citations, reflecting its foundational role in defining this emerging field. This visionary piece outlines how AI can enable closed-loop control, predictive defect detection, and material discovery, positioning Yuan as a key architect of the next industrial revolution. His research promises to unlock unprecedented levels of efficiency, customization, and autonomy in manufacturing, making him an essential voice for students and researchers exploring the synergy between machine learning and production technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
3 citations · 2026
📈 Most Prolific Year: 2026 (1 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: University of South Carolina

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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