Yanni Xiao

Xi'an Jiaotong University, China Academy of Space Technology

Papers

Total Citations

231

H-Index

About

Yanni Xiao is a leading researcher in mathematical epidemiology and infectious disease modeling, whose work has been pivotal in understanding and forecasting the spread of emerging pathogens. Her most impactful contribution came during the COVID-19 pandemic, with her highly cited 2020 paper, "Modeling the Epidemic Trend of the 2019 Novel Coronavirus Outbreak in China," which has garnered over 210 citations. This study provided early, critical insights into the transmission dynamics and potential trajectory of SARS-CoV-2, informing public health responses worldwide. Beyond epidemiology, Xiao also explores the intersection of robotics and biomimetics, as demonstrated in her 2019 work on a space truss-crawling robot inspired by gecko adhesion, which advances autonomous assembly for orbital structures. With a citation count exceeding 230 across her key publications, Xiao’s research bridges urgent global health challenges and innovative engineering, showcasing her versatility and profound impact on both pandemic preparedness and space technology. Her work continues to inspire students and researchers tackling complex, real-world problems.