activity
20192026
most citedTaking the pulse of COVID-19: A spatiotemporal perspective

122 citations · 204 across the 23 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.SI2020★ 1 cited

Towards real-time population estimates: introducing Twitter daily estimates of residents and non-residents at the county level

Yago Martin, Zhenlong Li, Yue Ge

The study of migrations and mobility has historically been severely limited by the absence of reliable data or the temporal sparsity of the available data. Using geospatial digital…

cs.SI2020★ 8 cited

ODT Flow Explorer: Extract, Query, and Visualize Human Mobility

Zhenlong Li, Xiao Huang, Xinyue Ye +1

Understanding human mobility dynamics among places provides fundamental knowledge regarding their interactive gravity, benefiting a wide range of applications in need of prior know…

cs.LG2020★ 2 cited

Simulating multi-exit evacuation using deep reinforcement learning

Dong Xu, Xiao Huang, Joseph Mango +2

Conventional simulations on multi-exit indoor evacuation focus primarily on how to determine a reasonable exit based on numerous factors in a changing environment. Results commonly…

cs.SI2020★ 12 cited

Twitter, human mobility, and COVID-19

Xiao Huang, Zhenlong Li, Yuqin Jiang +2

The outbreak of COVID-19 highlights the need for a more harmonized, less privacy-concerning, easily accessible approach to monitoring the human mobility that has been proved to be…

physics.soc-ph2020★ 122 cited

Taking the pulse of COVID-19: A spatiotemporal perspective

Chaowei Yang, Dexuan Sha, Qian Liu +32

The sudden outbreak of the Coronavirus disease (COVID-19) swept across the world in early 2020, triggering the lockdowns of several billion people across many countries, including…