Hsin-Hui Huang

National Tsing Hua University, Herat University, Tri-Service General Hospital

Papers

Total Citations

H-Index

About

Hsin-Hui Huang’s research spans the intersection of robotics, human-robot interaction, and medical applications, with a particular focus on facial expression recognition (FER) and orthopaedic methodology. Her most cited work, “Facial Expression Recognition for Human-Robot Interaction” (2017, 20 citations), addresses a critical challenge in assistive robotics: enabling robots to accurately interpret human emotions despite individual variability in expression. This contribution is foundational for developing socially responsive robots capable of close, intuitive interaction with humans. Huang also co-authored “Statistics in Brief: Instrumental Variable Analysis: An Underutilized Method in Orthopaedic Research” (2019, 14 citations), which highlights her methodological expertise in statistical techniques that strengthen causal inference in clinical studies—a valuable tool for addressing limitations of randomized controlled trials. Additionally, her work on “Robot-assisted excision of a symptomatic deep infiltrating cervical endometrioma” (2013) demonstrates her engagement with surgical robotics, showcasing the practical translation of robotic systems into minimally invasive procedures. With a cumulative citation count exceeding 36, Huang’s research bridges engineering and medicine, offering tangible advances in both human-robot interaction and evidence-based orthopaedic research. Her interdisciplinary approach positions her as a versatile researcher contributing to the future of intelligent, assistive technologies.