Cited by 20Blockchain Technology Applications and SecurityBlockchain Technology in Education and LearningInternet of Things and AI

Application of BlockChain in Internet of Things

Yang, Yanhan, Yang, Yaming, Chen, Jinlian, Liu, Mingzhe·2018·Lecture Notes in Computer Science

Integrity signals

Registry

Crossref · 10.1007/978-3-030-00018-9_7

Cites

38 of 38 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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Claims other papers make about this one

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Cites

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Authors
Yang, Y., Yang, Y., Chen, J., & Liu, M.
Affiliations
Chengdu University of Technology (CN)
Corresponding author
Liu, Mingzhe
Venue
Lecture Notes in Computer Science
Published
2018
Pages
73-82
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W2892413512
Cited by
20
References
38
Citations by year
2023: 2 · 2022: 5 · 2021: 5 · 2020: 4 · 2019: 3 · 2016: 1
FWCI
2.35
Type
conference paper
Language
en
Open access
closed
Locations
Lecture notes in computer science (publishedVersion)
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 › Information Systems › Internet of Things and AI
Keywords
blockchain, Internet of Things, distributed ledger technology, decentralization (distributed systems), Internet of Things security, privacy

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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