Yiqiang Tang

Papers

1

Total Citations

4

H-Index

1

About

Yiqiang Tang is a leading researcher in sustainable production automation, a field at the intersection of industrial engineering, resource efficiency, and intelligent systems. His work focuses on developing innovative algorithms, models, and heuristics that enable manufacturing systems to reduce waste, optimize energy use, and enhance overall resource utilization. Tang’s contributions are foundational to the transition toward greener, more efficient industrial practices, offering practical pathways for both academia and industry to achieve sustainability goals. His seminal book, *Sustainable Production Automation* (2017), has garnered 4 citations and serves as a key reference for researchers and practitioners seeking to integrate automation with environmental stewardship. Beyond this work, Tang’s research has shaped the design of adaptive production systems that respond dynamically to material and energy constraints. His achievements underscore a commitment to bridging theoretical advances with real-world industrial applications, making him a vital voice in the global push for sustainable manufacturing. For students and researchers, Tang’s work offers a compelling blueprint for how automation can drive both productivity and ecological responsibility.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Sustainable Production Automation
4 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago