The DOI matches its Crossref record; 148 of the 148 references it cites were found in a registry or an index.
Big Data: A Survey
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Integrity signals
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“In addition, the combination of datasets in the big data age needs to cope with a number of challenges listed in [20,61], for example efficient data representation, redundancy reduction and data compression, spurious correlations, and noise accumulation.”
From Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience (2016) · cites this paper as [20]
Citations
Cites
MapReduce: simplified data processing on large clusters
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The anatomy of a large-scale hypertextual Web search engine
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An index to quantify an individual’s scientific research output
Hirsch, J. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507655102 · Cited by 11,669
Foundations of statistical natural language processing
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Research works printed but not linked: 3
- Big data (2008). http://www.nature.com/news/specials/bigdata/index.html
- Special online collection: dealing with big data (2011). http://www.sciencemag.org/site/special/data/
- Sallam RL, Richardson J, Hagerty J, Hostmann B (2011) Magic quadrant for business intelligence platforms. CT, Gartner Group, Stamford
Cited by
Sorted by citations
Big Data in Smart Farming – A review
Wolfert, J., Ge, L., Verdouw, C. N., & Bogaardt, M. J. (2017) · Agricultural Systems · doi:10.1016/j.agsy.2017.01.023 · Cited by 4,196
The rise of big data on cloud computing: Review and open research issues
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Ullah Khan, S. (2015) · Information Systems · doi:10.1016/j.is.2014.07.006 · Cited by 2,656
Critical analysis of Big Data challenges and analytical methods
Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2016.08.001 · Cited by 2,066
Optical Communication in Space: Challenges and Mitigation Techniques
Kaushal, H., & Kaddoum, G. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2603518 · Cited by 1,927
Digital twin: values, challenges and enablers from a modeling perspective
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Metadata
- Authors
- Chen, M., Mao, S., & Liu, Y.
- Affiliations
- Huazhong University of Science and Technology (CN)
- Auburn University (US)
- Tsinghua University (CN)
- Corresponding author
- Chen, Min
- Venue
- Mobile Networks and Applications
- Published
- 2014-01-22
- Volume
- 19
- Issue
- 2
- Pages
- 171-209
- ISSN
- 1383-469X (ISSN-L)
- 1572-8153
- OpenAlex
- W2159128662
- Cited by
- 2,913
- References
- 148
- Citations by year
- 2026: 117 · 2025: 166 · 2024: 164 · 2023: 171 · 2022: 206 · 2021: 293 · 2020: 323 · 2019: 341 · 2018: 389 · 2017: 309 · 2016: 256 · 2015: 146 · 2014: 28
- FWCI
- 461.46
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Mobile Networks and Applications (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Information Systems › Big Data and Digital Economy
- Keywords
- big data, cloud computing, Internet of Things, data centers, Hadoop, data generation, data acquisition, data storage, data analysis, business management, social networking sites, medical applications, collective intelligence, smart grid
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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