Ruyi Wang

Papers

Total Citations

H-Index

About

Ruyi Wang is an emerging researcher whose work bridges artificial intelligence, healthcare, and robotics. Her primary research areas include perinatal mental health, machine learning applications in clinical settings, and bio-inspired robotic locomotion. Wang’s most impactful contribution is her pioneering study on supervised machine learning chatbots for perinatal mental healthcare, which addresses critical mood disorders affecting pregnant women and new mothers. This work, published in 2020, has garnered 44 citations, reflecting its growing influence in digital health interventions. By exploring how AI-driven conversational agents can screen and support women during pregnancy and postpartum periods, Wang has opened new pathways for accessible mental health care. In parallel, she has contributed to robotics through her comparative analysis of hybrid gait planning for hexapod robots, examining tripod and crab-inspired gaits to improve stability and efficiency in locomotion. This work, while earlier in its citation trajectory, demonstrates her versatility across disciplines. Wang’s research uniquely positions her at the intersection of compassionate healthcare technology and mechanical innovation, making her a promising voice for students and researchers interested in applying computational methods to real-world human challenges.