Papers

3

Total Citations

62

H-Index

3

About

Yanzhang Qu is at the forefront of two transformative fields: ethical artificial intelligence and assistive robotics. His work on “Constructing Ethical AI Based on the ‘Human-in-the-Loop’ System” (2023, 24 citations) critically advances the hybrid integration of human and machine intelligence, proposing frameworks that ensure AI systems remain transparent, accountable, and aligned with human values. This contribution is foundational for developing trustworthy AI in high-stakes applications. Simultaneously, Qu is a leading voice in rehabilitation robotics. His comprehensive reviews on surface electromyography (sEMG) for exoskeleton robots (2025, 24 citations) and control strategies for upper limb exoskeletons (2025, 14 citations) have systematically mapped the landscape of motion intention recognition and adaptive control. These works directly address the urgent global need for assistive technologies for aging and disabled populations. By synthesizing advances in high-precision sensors and intelligent algorithms, Qu’s research bridges the gap between human physiology and machine actuation, paving the way for next-generation wearable robots that restore mobility and enhance human capability.

Research Focus

Key Achievements

3
H-Index
3
Papers
62
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Constructing Ethical AI Based on the “Human-in-the-Loop” System
24 citations · 2023
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Xi'an Jiaotong University, Shaanxi Yulin Energy Group

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago