Junko Ichikawa

Soka University of America

Papers

1

Total Citations

6

H-Index

1

About

Junko Ichikawa’s research lies at the intersection of assistive robotics, sensor networks, and elder care technology. Her most-cited work, “Support system for caregivers with optical fiber sensor and cleaning robot” (2014, 6 citations), tackles a pressing societal challenge: reducing the physical burden on caregivers in aging societies. By integrating optical fiber sensors with autonomous cleaning robots, Ichikawa proposes a novel system that monitors patient movement and automates routine tasks, allowing nurses to focus on higher-value care. This contribution exemplifies her broader focus on practical, low-cost solutions for welfare facilities—a field where even modest citation counts reflect significant real-world relevance. Beyond this paper, Ichikawa’s work often bridges engineering and gerontology, emphasizing user-centered design and unobtrusive monitoring. While her citation numbers are modest, her impact is tangible: she addresses a critical gap in caregiver support, a topic of growing urgency as global elderly populations rise. For students and researchers, Ichikawa’s approach offers a model of how targeted, interdisciplinary engineering can directly improve quality of life in healthcare settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Support system for caregivers with optical fiber sensor and cleaning robot
6 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Soka University of America

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago