Xiongyi Liu
Papers
1
Total Citations
81
H-Index
1
About
Dr. Xiongyi Liu is a pioneering researcher at the intersection of engineering, computer science, and clinical psychology, with a primary focus on leveraging technology to improve the diagnosis and treatment of Autism Spectrum Disorder (ASD). His most influential work, "Technology-Facilitated Diagnosis and Treatment of Individuals with Autism Spectrum Disorder: An Engineering Perspective" (2017, 81 citations), provides a comprehensive framework for how rapid advances in robotics, computer vision, and machine learning can enable earlier, more accurate ASD diagnoses and deliver more consistent, cost-effective interventions. By systematically reviewing the engineering challenges and opportunities in this domain, Liu has helped bridge the gap between technical innovation and clinical practice, establishing a roadmap for developing scalable, accessible therapeutic tools. His contributions are particularly notable for emphasizing the potential of technology to reduce healthcare costs while improving treatment outcomes, making specialized care more widely available. With a citation count that reflects the growing importance of this interdisciplinary field, Liu’s work continues to inspire engineers and clinicians alike to harness technology for transformative impact in neurodevelopmental healthcare.
Research Focus
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Top Papers
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