Qiu Xie

Chongqing University

Papers

1

Total Citations

3

H-Index

1

About

Qiu Xie is a rising scholar in intelligent systems and operations research, whose work focuses on the intersection of human-robot collaboration and optimization in smart environments. Their most cited paper, "Dynamic three-sided matching model for personnel–robot-position matching problem in intelligent environments" (2023), introduces a novel framework for solving the emerging challenge of personnel-robot-position matching (PRPM) in automated production settings. This work extends traditional personnel-position matching by incorporating intelligent robots as active agents, proposing a dynamic three-sided matching model that optimizes assignments in real-time. With 3 citations in a short time, this research is gaining traction for its practical relevance to Industry 4.0 and smart manufacturing. Xie’s contributions address critical gaps in adaptive workforce allocation, offering scalable solutions for environments where humans and robots collaborate. Their work is notable for bridging theoretical matching theory with applied intelligent systems, making it valuable for researchers in operations research, robotics, and human-computer interaction. As a forward-looking researcher, Xie is shaping the future of intelligent work systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic three-sided matching model for personnel–robot-position matching problem in intelligent environments
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Chongqing University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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