142 citations · 213 across the 7 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.SE2017★ 2 cited
Mining Device-Specific Apps Usage Patterns from Large-Scale Android Users
Huoran Li, Xuan Lu
When smartphones, applications (a.k.a, apps), and app stores have been widely adopted by the billions, an interesting debate emerges: whether and to what extent do device models in…
cs.HC2017★ 142 cited
Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users
Zhenpeng Chen, Xuan Lu, Wei Ai +3
Based on a large data set of emoji using behavior collected from smartphone users over the world, this paper investigates gender-specific usage of emojis. We present various intere…
cs.CY2017★ 47 cited
Mining Behavioral Patterns from Millions of Android Users
Xuanzhe Liu, Huoran Li, Xuan Lu +4
The prevalence of smart mobile devices has promoted the popularity of mobile applications (a.k.a. apps). Supporting mobility has become a promising trend in software engineering re…