Mobile Crowdsensing
Mobile Crowdsensing is a participatory data collection paradigm in which mobile devices carried by individuals are leveraged to opportunistically or actively gather sensor data from the environment, distinguished from other mobile sensing approaches by its reliance on human mobility and voluntary user participation to achieve large-scale, distributed sensing tasks.
790
Publications
45.4K
Citations
2.1K
Authors
697
Institutions
Publications per year
2017–2026
568
Parents
790
Internet of Things and Big Data Analytics for Smart and Connected Communities
Yunchuan Sun, Houbing Song, Antonio J. Jara et al. · IEEE Access · 2016 · 890 citations · Full text
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Shanghai Jiao Tong University
Shanghai, China
24 h-index
107 publications
6K citations
Jilin University
Changchun, China
22 h-index
110 publications
4.5K citations
Temple University
Philadelphia, United States
21 h-index
33 publications
1.7K citations

Northwestern Polytechnical University
Xi'an, China
21 h-index
70 publications
5.1K citations
University of Science and Technology of China
Hefei, China
20 h-index
44 publications
3K citations

South China University of Technology
Guangzhou, China
20 h-index
58 publications
3K citations

Beijing Institute of Technology
Beijing, China
20 h-index
75 publications
3.8K citations
Institut Polytechnique de Paris
Palaiseau, France
20 h-index
46 publications
4.8K citations
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TMCCI · 65 publications · 4.6K citations
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69 publications · 3.1K citations
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27 publications · 4.4K citations
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21 publications · 1.1K citations
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25 publications · 2K citations
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