Jingjing Wang
Papers
1
Total Citations
64
H-Index
1
About
Jingjing Wang is a researcher whose work sits at the intersection of artificial intelligence, geriatric care, and nursing science. With a focus on how emerging technologies can enhance the health and well-being of older adults, Wang has made meaningful contributions to understanding the evolving landscape of AI applications in eldercare. Their most notable work, a 2023 bibliometric analysis examining AI's role in geriatric nursing, has already garnered 64 citations, reflecting the timeliness and relevance of the research to both clinical and academic communities. This study provided a comprehensive mapping of the field's development trajectories and key research hotspots, offering scholars and practitioners a valuable framework for navigating a rapidly expanding literature. By synthesizing trends across a broad body of evidence, Wang's research helps identify gaps and opportunities in AI-assisted nursing care — a domain of growing urgency as global populations age. Their scholarship demonstrates a commitment to evidence-based approaches that bridge technological innovation with compassionate, patient-centered practice, positioning them as an emerging voice in the conversation around the future of intelligent healthcare for older populations.
Research Focus
Key Achievements
Top Papers
- 1