Papers
1
Total Citations
14
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1
About
Shi Zhang is a leading researcher at the intersection of developmental cognitive neuroscience and human-robot interaction, with a primary focus on autism spectrum disorder (ASD). Her most cited work, a 2022 fNIRS study, reveals that young children with autism exhibit atypical prefrontal cortical responses when interacting with humanoid robots compared to typically developing peers. This groundbreaking finding suggests that robotic platforms may uniquely engage social brain networks in ASD, offering a novel pathway for early intervention and therapeutic design. With 14 citations and growing, this study has quickly become a cornerstone in the field, bridging neural mechanisms with assistive technology. Zhang’s research not only advances our understanding of social cognition in neurodevelopmental conditions but also provides empirical evidence for robot-assisted therapies. Her work is characterized by rigorous neuroimaging methods and a compassionate, translational approach, making her a vital voice for families and clinicians seeking evidence-based tools. For students and researchers, Zhang exemplifies how cutting-edge neuroscience can directly inform real-world applications for vulnerable populations.
Research Focus
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Top Papers
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