Mingxing Jia

Northeastern University

Papers

1

Total Citations

2

H-Index

1

About

Mingxing Jia’s research focuses on the intersection of traditional Chinese liquor-making technology and modern industrial automation, with a particular emphasis on improving efficiency and reducing labor intensity in distillation processes. His most-cited work, “A Steam Detection Method for Liquor Distillation in the Process of Feeding” (2020), addresses a critical bottleneck in the labor-intensive liquor industry: the manual material filling method during distillation. By developing a steam detection approach, Jia’s research enables more precise, automated control of feeding operations, directly tackling the high labor demands and low productivity that have long characterized traditional liquor production. Although his citation count remains modest—with the flagship paper garnering 2 citations—his contributions are notable for bridging cultural heritage with engineering innovation. Jia’s work represents a meaningful step toward modernizing an ancient craft, offering practical solutions that could transform small-scale distilleries. For students and researchers in food processing or industrial automation, his research highlights how sensor-based methods can preserve traditional quality while enhancing scalability and worker safety.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A Steam Detection Method for Liquor Distillation in the Process of Feeding
2 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Northeastern University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago