Papers

2

Total Citations

179

H-Index

2

About

Lu Qi is a leading researcher at the intersection of artificial intelligence and rehabilitation robotics, with a primary focus on improving healthcare outcomes for aging and neurologically impaired populations. Her most influential work, the 2022 scoping review on artificial intelligence in elderly healthcare, has garnered 170 citations, establishing her as a key voice in synthesizing how AI technologies can address the challenges of an aging society. Qi’s contributions extend to human-robot interaction design, notably through her innovative framework for assistance level quantification in rehabilitation training. This work, published in 2023, tackles the critical problem of upper limb motor dysfunction after stroke—a condition affecting millions worldwide—by reshaping human-robot interaction spaces to optimize therapy. Her research bridges engineering precision with clinical need, offering scalable solutions for personalized rehabilitation. Qi’s achievements highlight her ability to translate complex technical concepts into practical interventions, making her a notable figure in assistive robotics. For students and researchers, her work exemplifies how AI and robotics can directly enhance quality of life, particularly for vulnerable populations like stroke survivors and the elderly.

Research Focus

Key Achievements

2
H-Index
2
Papers
179
Total Citations
90
Avg Citations/Paper
🏆 Most Cited Paper
Artificial intelligence in elderly healthcare: A scoping review
170 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Tianjin Medical University, Sichuan University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago