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

122 citations · 161 across the 18 of their papers we have counts for

collaborators
Showing cs.SIShow all

5 papers · 1 filter

cs.SI2025

Estimating Hourly Neighborhood Population Using Mobile Phone Data in the United States

Huan Ning, Zhenlong Li, Manzhu Yu +2

Traditional population estimation techniques often fail to capture the dynamic fluctuations inherent in urban and rural population movements. Recognizing the need for a high spatio…

cs.SI2021

Measuring Global Multi-Scale Place Connectivity using Geotagged Social Media Data

Zhenlong Li, Xiao Huang, Xinyue Ye +5

Shaped by human movement, place connectivity is quantified by the strength of spatial interactions among locations. For decades, spatial scientists have researched place connectivi…

cs.SI20201 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.SI20208 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.SI202012 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…