Cited by 567Blockchain Technology Applications and SecurityBlockchain Technology in Education and LearningIoT and Edge/Fog Computing

Survey on blockchain for Internet of Things

Wang, Xu, Zha, Xuan, Ni, Wei, Liu, Ren Ping, Guo, Y. Jay, Niu, Xinxin, Zheng, Kangfeng·2019·Computer Communications

Integrity signals

Registry

Crossref · 10.1016/j.comcom.2019.01.006

Cites

157 of 157 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Cites

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Authors
Wang, X., Zha, X., Ni, W., Liu, R. P., Guo, Y. J., Niu, X., & Zheng, K.
Affiliations
  • University of Technology Sydney (AU)
  • Commonwealth Scientific and Industrial Research Organisation (AU)
  • Beijing University of Posts and Telecommunications (CN)
Corresponding author
Zha, Xuan
Venue
Computer Communications
Publisher
Elsevier BV
Published
2019-02
Volume
136
Pages
10-29
ISSN
0140-3664 (ISSN-L)
OpenAlex
W2910815950
Cited by
567
References
157
Citations by year
2026: 13 · 2025: 57 · 2024: 75 · 2023: 90 · 2022: 107 · 2021: 104 · 2020: 86 · 2019: 34 · 2018: 1
FWCI
97.71
Type
journal article
Language
en
Open access
closed
Locations
  • Computer Communications (publishedVersion)
  • OPUS - Open Publications of UTS Scholars (University of Technology Sydney) (submittedVersion)
Funders
  • Ultimo Digital Technologies Pty Ltd
  • National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) (61471129)
  • National Key R&D Program of China (2017YFB0802703)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
Keywords
blockchain, Internet of Things, data security, trust, consensus algorithms, distributed ledger technology, resource-constrained devices, blockchain-IoT integration

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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