Lang Qin

Taiyuan University of Technology

Papers

1

Total Citations

4

H-Index

1

About

Lang Qin is an emerging researcher at the intersection of human-computer interaction, industrial technology, and intelligent systems, with a particular focus on transforming hazardous work environments through cutting-edge technological integration. His most notable work explores the application of Extended Reality (XR) technologies within coal mine operations, positioning human workers at the center of decision-making processes in the evolving Industry 5.0 paradigm. In his 2025 paper, "Toward Human-Centric Coal Mine Auxiliary Operations in Industry 5.0," Qin presents an innovative XR-based framework for human-robot hybrid decision-making, addressing one of the most challenging and safety-critical industrial environments. This contribution is particularly significant as it bridges the gap between advanced robotics and human cognitive capabilities, emphasizing collaboration rather than replacement. Though early in citation accumulation with 4 citations, the recency of this work suggests a trajectory with considerable growth potential. Qin's research reflects a broader commitment to worker safety, operational efficiency, and the responsible integration of immersive technologies in industries where human judgment remains irreplaceable, making his contributions highly relevant to both academic and industrial communities.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Toward human-centric coal mine auxiliary operations in Industry 5.0: An XR-based approach for human-robot hybrid decision-making
4 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Taiyuan University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago