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 Huoran Li

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Average citations per article5.14
Citation Count36
Publication count7
Publication years2015-2017
Available for download7
Average downloads per article394.57
Downloads (cumulative)2,762
Downloads (12 Months)1,232
Downloads (6 Weeks)157
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8 results found Export Results: bibtexendnoteacmrefcsv

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1
April 2018 WWW '18: Proceedings of the 2018 World Wide Web Conference
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 79,   Downloads (12 Months): 360,   Downloads (Overall): 361

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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 interesting findings that evidence a considerable difference in emoji usage by female and male users. Such a difference is significant not just in ...
Keywords: emojis, gender, language-independent, user profifiling

2 published by ACM
September 2017 Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies: Volume 1 Issue 3, September 2017
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 9,   Downloads (12 Months): 208,   Downloads (Overall): 247

Full text available: PDFPDF
To survive and stand out from the fierce market competition nowadays, it is critical for app developers to know (desirably ahead of time) whether, how well, and why their apps would be adopted by users. Ideally, the adoption of an app could be predicted by factors that can be controlled ...
Keywords: Mobile apps, usage data, user adoption

3 published by ACM
July 2017 ACM Transactions on Information Systems (TOIS) - Special issue: Search, Mining and their Applications on Mobile Devices: Volume 35 Issue 4, August 2017
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 29,   Downloads (12 Months): 240,   Downloads (Overall): 321

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App marketplaces host millions of mobile apps that are downloaded billions of times. Investigating how people manage mobile apps in their everyday lives creates a unique opportunity to understand the behavior and preferences of mobile device users, infer the quality of apps, and improve user experience. Existing literature provides very ...
Keywords: Mobile apps, app management activities, behavior analysis

4 published by ACM
May 2016 MOBILESoft '16: Proceedings of the International Conference on Mobile Software Engineering and Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 36,   Downloads (Overall): 105

Full text available: PDFPDF
Mining usage data from a large number of Android users can assist various software engineering tasks. In collaboration with Wandoujia, a leading Android app marketplace in China, we have conducted a large empirical analysis based on mining app usage behaviors collected from millions of Android users. Our empirical findings can ...
Keywords: mobile apps, user behavior analysis

5 published by ACM
May 2016 ICSE '16: Proceedings of the 38th International Conference on Software Engineering
Publisher: ACM
Bibliometrics:
Citation Count: 10
Downloads (6 Weeks): 11,   Downloads (12 Months): 126,   Downloads (Overall): 635

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Selecting and prioritizing major device models are critical for mobile app developers to select testbeds and optimize resources such as marketing and quality-assurance resources. The heavily fragmented distribution of Android devices makes it challenging to select a few major device models out of thousands of models available on the market. ...
Keywords: android fragmentation, prioritization, mobile apps, usage data

6
April 2016 WWW '16: Proceedings of the 25th International Conference on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 7,   Downloads (12 Months): 69,   Downloads (Overall): 266

Full text available: PDFPDF
Smartphone users have adopted an explosive number of mobile applications (a.k.a., apps) in the recent years. App marketplaces for iOS, Android and Windows Phone platforms host millions of apps which have been downloaded for more than 100 billion times. Investigating how people manage mobile apps in their everyday lives creates ...
Keywords: app management activities, behavior analysis, mobile apps

7 published by ACM
October 2015 IMC '15: Proceedings of the 2015 Internet Measurement Conference
Publisher: ACM
Bibliometrics:
Citation Count: 19
Downloads (6 Weeks): 17,   Downloads (12 Months): 174,   Downloads (Overall): 729

Full text available: PDFPDF
he prevalence of smart devices has promoted the popular- ity of mobile applications (a.k.a. apps) in recent years. A number of interesting and important questions remain unan- swered, such as why a user likes/dislikes an app, how an app becomes popular or eventually perishes, how a user selects apps to ...
Keywords: android apps, app management, app per- formance, app popularity, app stores

8 published by ACM
May 2015 WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 3,   Downloads (12 Months): 19,   Downloads (Overall): 98

Full text available: PDFPDF
Smartphone users adopt an increasing number of mobile applications (a.k.a., apps) in the recent years. Investigating how people manage mobile apps in their everyday lives creates a unique opportunity to understand the behaviors and preferences of mobile users. Existing literature provides very limited understanding about app management activities, due to ...
Keywords: app management activities, mobile computing, user behavior analysis



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