Assoc. Prof. Dr. Xue Wu | Cognitive Science | Outstanding Scientist Award
Associate Professor | Peking University | China
Dr. Xue Wu is a highly active and emerging scholar whose research contributions reflect a growing impact in nursing science, healthcare safety, and clinical decision-support systems. With 621 citations, 39 publications, and an h-index of 8, her work demonstrates both productivity and increasing global relevance across interdisciplinary domains. She has contributed to the advancement of cognitive workload assessment, nursing brand development, and predictive modeling for critical care, including the integration of radiology notes and structured clinical data for early ICU readmission risk prediction. Her publications span peer-reviewed journals and collaborative multi-author studies, reflecting strong engagement with diverse research teams—evidenced by collaborations with over 80 co-authors across nursing, medical informatics, and safety management. Dr. Wu’s recent projects, including integrative and scoping reviews on safety-related cognitive workload and professional identity in nursing, reinforce her commitment to strengthening healthcare systems through evidence-based analysis. Her work emphasizes methodological rigor, interdisciplinary synthesis, and the development of tools that enhance patient safety, workforce identity, and clinical outcomes. Through her contributions to predictive analytics and safety frameworks, she supports the transformation of healthcare environments into more adaptive, data-informed, and patient-centered systems. Dr. Xue Wu’s research trajectory continues to contribute meaningfully to the global nursing and healthcare community, advancing knowledge that informs policy, technology design, and clinical practice.
Profiles: Scopus | ResearchGate
Featured Publications
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Feng, T., Huang, L., Peng, X., & Wu, X. (2025). An integrative review of cognitive workload assessment for safety management. BMC Nursing.
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Ge, H., Hu, H., Li, J., & Wu, X. (2025). Development of a professional profile for enhancing nursing brand image: A scoping review. International Nursing Review.
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Hu, H., Ma, L., Ge, H., & Wu, X. (2025). ReAdmit: Predicting early unplanned ICU readmission using radiology notes and structured data. Nursing in Critical Care.
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Hu, H., Teng, H., Bai, L., & Wu, X. (2025). Effect of interference on nurses in using nursing information system: A field-based eye tracking study. In Nursing Informatics Research (Book chapter).
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Ge, H., Feng, T., Hu, H., & Wu, X. (2025). Profiling learning styles and strategies of nursing students: A cluster analysis study. Nurse Education Today.