Xinxing Fu

Xinxing Fu is an active researcher affiliated with Capital Medical University, focusing on the intersection of hearing science, cognitive neuroscience, and audiological technology. Their work addresses critical issues such as age-related hearing loss, its impact on cognitive decline, and the development of innovative hearing assessment tools.

Research interests prominently include auditory neuroscience, speech perception in challenging environments, and the application of machine learning to medical diagnostics. Notable contributions include validating smartphone-based hearing tests for Mandarin speakers and analyzing longitudinal relationships between hearing impairment and cognitive aging.

Recent publications emphasize cross-disciplinary approaches, combining neuroimaging (e.g., fNIRS, EEG) with clinical audiology to explore brain mechanisms underlying hearing loss and its cognitive consequences. Their work has implications for early detection systems and hearing rehabilitation strategies in aging populations.

Publications span prestigious journals like Frontiers in Aging Neuroscience and Trends in Hearing, reflecting a strong international collaboration network. While no specific awards are listed, their h-index of 46 underscores significant scholarly impact.