Yiqing Liang

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About

Yiqing Liang is a rising scholar at the intersection of artificial intelligence and geriatric nursing, whose work is shaping how technology can support the aging population. Her most-cited paper, “Application of Artificial Intelligence in Geriatric Care: Bibliometric Analysis” (2023, 64 citations), provides a critical mapping of the field, identifying key research hotspots and trends in AI-driven elder care. This foundational study highlights Liang’s expertise in using bibliometric methods to assess the evolution of health technologies. Her research primarily focuses on the integration of AI tools—such as predictive analytics and assistive robotics—into nursing practices for older adults, aiming to enhance quality of life and care efficiency. By systematically analyzing the growing body of literature, Liang has offered researchers and clinicians a roadmap for future innovation. Her work underscores the potential of AI to address challenges in geriatric care, from fall prevention to cognitive support. As a young investigator, Liang’s contributions are already gaining recognition, positioning her as a key voice in the digital transformation of nursing and aging research.