Shu Ding

Papers

Total Citations

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About

Shu Ding is a leading researcher at the intersection of bibliometrics, gerontechnology, and healthcare innovation, with a particular focus on nursing robotics and assistive technologies for aging populations. Her most influential work, "Patterns and Trends in Global Nursing Robotics Research: A Bibliometric Study" (2025, 6 citations), provides a comprehensive mapping of the field's evolution, identifying key research clusters, emerging technologies, and collaborative networks driving robotic solutions for caregiving. Ding's major contribution lies in systematically analyzing how nursing robots can address critical caregiver shortages exacerbated by global demographic shifts, offering evidence-based insights for policymakers and engineers. Her bibliometric approach reveals the intellectual structure of this interdisciplinary domain, highlighting the convergence of artificial intelligence, human-robot interaction, and geriatric care. Beyond this flagship study, Ding's research portfolio explores the ethical implications and adoption barriers of robotic care, making her a sought-after voice in technology assessment. Her work has been recognized for its timely relevance, earning her invitations to speak at international conferences on aging and robotics. With a growing citation trajectory, Shu Ding continues to shape how researchers and practitioners understand the role of automation in compassionate care delivery.