The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Adaptable Blockchain-Based Systems: A Case Study for Product Traceability
Abstract
Tracing the origin of products across complex supply chains requires a transparent, tamper-proof metadata infrastructure that's not only trusted by all the involved parties but also adaptable to changing environments and regulations. Can such advanced infrastructure be implemented in a decentralized way? Qinghua Lu and Xiwei Xu share their story of developing the originChain system, which leverages emerging blockchain technology to do so.
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In the citing paper
“Three other contributions concern the concept of traceability, but in more general terms refer to the supply chain [76,79,80].”
From A Review of Blockchain-Based Systems in Transportation (2019) · cites this paper as [80]
In the citing paper
“Some of them propose new platforms just at a concept level [45,51,52,75,77,83,84,88,89,91], some of them present proofs of their concepts [76,79,81], and only three of them present a real implementation based on real blockchains: [78,80,82].”
From A Review of Blockchain-Based Systems in Transportation (2019) · cites this paper as [80]
In the citing paper
“In detail, for the macro-cluster C 1 , related mostly to traceability problems in supply and logistics, the only listed paper that introduces a real implementation based on a new blockchain is [80], which introduces the private developed blockchain OriginChain.”
From A Review of Blockchain-Based Systems in Transportation (2019) · cites this paper as [80]
In the citing paper
“OriginChain (private blockchain)”
From A Review of Blockchain-Based Systems in Transportation (2019) · cites this paper as [80]
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Flagged first, then by citations
Research works printed but not linked: 3
- del castillo, 2017, Microsoft's Blockchain Supply Chain Project Grows to 13 Partners, CoinDesk
- del castillo, 2017, Microsoft Unveils Project Manifest, a Plan for Blockchain Product Tracking, CoinDesk
- rizzo, 2016, World's Largest Mining Company to Use Blockchain for Supply Chain, CoinDesk
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Self-citation
Metadata
- Authors
- Lu, Q., & Xu, X.
- Affiliations
- China University of Petroleum, East China (CN)
- Commonwealth Scientific and Industrial Research Organisation (AU)
- ORCID
- Venue
- IEEE Software
- Published
- 2017-11
- Volume
- 34
- Issue
- 6
- Pages
- 21-27
- ISSN
- 0740-7459 (ISSN-L)
- 1937-4194
- OpenAlex
- W2769227940
- Cited by
- 483
- References
- 6
- Citations by year
- 2026: 9 · 2025: 30 · 2024: 43 · 2023: 65 · 2022: 82 · 2021: 94 · 2020: 71 · 2019: 68 · 2018: 21
- FWCI
- 81.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Software (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Life Sciences › Agricultural and Biological Sciences › Food Science › Food Supply Chain Traceability
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- blockchain, product traceability, supply chain transparency, decentralized systems, adaptable systems
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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