References

• 2008Understanding individual human mobility patterns6,071 cited
• 2015Social Sensing: A New Approach to Understanding Our Socioeconomic Environments804 cited
• 2011Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti634 cited
• 2012Predictability of population displacement after the 2010 Haiti earthquake633 cited
• 2014A new insight into land use classification based on aggregated mobile phone data399 cited
• 2017Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns298 cited
• 2015Geographic Situational Awareness: Mining Tweets for Disaster Preparedness, Emergency Response, Impact, and Recovery268 cited
• 2016Evidence and future potential of mobile phone data for disease disaster management81 cited
• 2019Harnessing the power of machine learning: Can Twitter data be useful in guiding resource allocation decisions during a natural disaster?80 cited
• 2015Spatiotemporal Detection of Unusual Human Population Behavior Using Mobile Phone Data61 cited
• 2020Using Mobile Phone Data for Emergency Management: a Systematic Literature Review53 cited
• 2018Estimation of urban crowd flux based on mobile phone location data: A case study of Beijing, China46 cited
• 2021A multi-modal approach towards mining social media data during natural disasters - A case study of Hurricane Irma