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Ruoxi Wang
Researcher at Tsinghua University
Publications - 5
Citations - 14
Ruoxi Wang is an academic researcher from Tsinghua University. The author has contributed to research in topics: Computer science & Metropolitan area. The author has an hindex of 1, co-authored 1 publications receiving 7 citations.
Papers
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Journal ArticleDOI
Passive nonlinear actuators for deploying mesh antennas
Meng Li,Ruoxi Wang,Zhihua Zhao +2 more
TL;DR: A new type of passive actuator with nonlinear force-displacement curves to meet the specific demand of unfolding mesh antennas is proposed and developed through the combined use of a torsional spring and a convex cam.
Journal ArticleDOI
Zooming into mobility to understand cities: A review of mobility-driven urban studies
Ruoxi Wang,Xinyuan Zhang,Nan Li +2 more
TL;DR: In this paper , the authors present a comprehensive review of mobility-driven urban studies through four re-conceptualized urban mobility perspectives, which can be classified based on whether they interpret urban mobility as spatial movements, a social phenomenon, an economic indicator or a policy tool.
Proceedings ArticleDOI
Quantifying Mobility Perturbation in America’s Cities during COVID-19: A Network-Based Approach
Ruoxi Wang,Qi Wang,Nan Li +2 more
TL;DR: This study built mobility-based networks for seven major metropolitan statistical areas across the United States in the years of 2019 and 2020 and quantified the disruptions of urban mobility by computing and comparing a set of network-based metrics before and during the pandemic.
Book ChapterDOI
Activities-Centered Participatory Community Design: Shoupa Community Service Station Rooftop Renovation Plan
Journal ArticleDOI
Percolation Transitions in Urban Mobility Networks in America's 50 Largest Cities
Ruoxi Wang,Wang Qi,Nan Li +2 more
TL;DR: In this article , the authors mined big geodata and constructed the mobility networks of the 50 most populous metropolitan statistical areas (MSAs) in the U.S., and studied their disruption patterns by conducting network percolation analysis.