Cited by 18Digital Transformation in IndustryBlockchain Technology Applications and SecurityRobot Manipulation and Learning

Blockchain-based cloud-edge collaborative data management for human-robot collaboration digital twin system

Liu, Xin, Li, Gongfa, Xiang, Feng, Tao, Bo, Jiang, Guozhang·2024·Journal of Manufacturing Systems

Integrity signals

Registry

Crossref · 10.1016/j.jmsy.2024.09.006

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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Authors
Liu, X., Li, G., Xiang, F., Tao, B., & Jiang, G.
Affiliations
Wuhan University of Science and Technology (CN)
Corresponding author
Li, Gongfa
Venue
Journal of Manufacturing Systems
Publisher
Elsevier BV
Published
2024-12
Volume
77
Pages
228-245
ISSN
0278-6125 (ISSN-L)
OpenAlex
W4402892340
Cited by
18
References
3
Citations by year
2026: 7 · 2025: 10 · 2024: 1
FWCI
3.69
Type
journal article
Language
en
Open access
closed
Locations
Journal of Manufacturing Systems (publishedVersion)
Funders
National Natural Science Foundation of China (51975431, 51575407)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
Keywords
human-robot collaboration, digital twin, blockchain, cloud-edge collaboration, data management, data model, data sharing, data storage, product customization, human safety

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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