activity
20142021
most citedWeather impacts expressed sentiment

179 citations · 324 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2021

A Histogram Thresholding Improvement to Mask R-CNN for Scalable Segmentation of New and Old Rural Buildings

Ying Li, Weipan Xu, Haohui Chen +2

Mapping new and old buildings are of great significance for understanding socio-economic development in rural areas. In recent years, deep neural networks have achieved remarkable…

econ.GN2019

The inverted U-shaped effect of urban hotspots spatial compactness on urban economic growth

Weipan Xu, Haohui'Caron' Chen, Enrique Frias-Martinez +2

The compact city, as a sustainable concept, is intended to augment the efficiency of urban function. However, previous studies have concentrated more on morphology than on structur…

econ.GN2019

Automation Impacts on China's Polarized Job Market

Haohui 'Caron' Chen, Xun Li, Morgan Frank +4

When facing threats from automation, a worker residing in a large Chinese city might not be as lucky as a worker in a large U.S. city, depending on the type of large city in which…

stat.AP2017★ 179 cited

Weather impacts expressed sentiment

Patrick Baylis, Nick Obradovich, Yury Kryvasheyeu +5

We conduct the largest ever investigation into the relationship between meteorological conditions and the sentiment of human expressions. To do this, we employ over three and a hal…

cs.SI2017★ 1 cited

Investigating the potential of social network data for transport demand models

Michael A. B. van Eggermond, Haohui Chen, Alexander Erath +1

Location-based social network data offers the promise of collecting the data from a large base of users over a longer span of time at negligible cost. While several studies have ap…

cs.SI2015★ 3 cited

Nowcasting Disaster Damage

Yury Kryvasheyeu, Haohui Chen, Nick Obradovich +4

Could social media data aid in disaster response and damage assessment? Countries face both an increasing frequency and intensity of natural disasters due to climate change. And du…