The DOI matches its Crossref record; 65 of the 68 references it cites were found in a registry or an index.
Smart contract applications within blockchain technology: A systematic mapping study
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“With the emergence of blockchain, smart contracts have become one of the most sought-after technologies because of their automated nature [196].”
From A survey on the adoption of blockchain in IoT: challenges and solutions (2021) · cites this paper as [196]
In the citing paper
“Smart contract stored in the public ledger is automatically running on the blockchain without the need of the third party when the contract associated event is triggered [196].”
From A survey on the adoption of blockchain in IoT: challenges and solutions (2021) · cites this paper as [196]
Citations
Cites
Bitcoin: A Peer-to-Peer Electronic Cash SystemPreprint
Squarepants, S. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.3977007 · Cited by 11,146
Time, clocks, and the ordering of events in a distributed system
Lamport, L. (1978) · Communications of the ACM · doi:10.1145/359545.359563 · Cited by 8,488
(2015) · Cited by 3,471
Systematic Mapping Studies in Software Engineering
Petersen, K., Feldt, R., Mujtaba, S., & Mattsson, M. (2008) · Electronic Workshops in Computing · doi:10.14236/ewic/ease2008.8 · Cited by 3,239 · cited 2×
“This also includes the identification of industry problems (Petersen et al., 2008) • Other (e.”
BackgroundMaking Smart Contracts Smarter
Luu, L., Chu, D.-H., Olickel, H., Saxena, P., & Hobor, A. (2016) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/2976749.2978309 · Cited by 2,337
Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts
Kosba, A., Miller, A., Shi, E., Wen, Z., & Papamanthou, C. (2016) · 2016 IEEE Symposium on Security and Privacy (SP) · doi:10.1109/sp.2016.55 · Cited by 2,227
A Survey on the Security of Blockchain Systems
Li, X., Jiang, P., Chen, T., Luo, X., & Wen, Q. (2020) · Future Generation Computer Systems · doi:10.1016/j.future.2017.08.020 · Cited by 1,772
A Survey of Attacks on Ethereum Smart Contracts (SoK)
Atzei, N., Bartoletti, M., & Cimoli, T. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-662-54455-6_8 · Cited by 1,553
Ouroboros: A Provably Secure Proof-of-Stake Blockchain Protocol
Kiayias, A., Russell, A. C., David, B., & Oliynykov, R. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-63688-7_12 · Cited by 1,505
A Secure Sharding Protocol For Open Blockchains
Luu, L., Narayanan, V., Zheng, C., Baweja, K., Gilbert, S. L., & Saxena, P. (2016) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/2976749.2978389 · Cited by 1,457
Research works printed but not linked: 6
- Andrychowicz, M., Dziembowski, S., Malinowski, D., Mazurek, Ł., 2014b. Fair two-party computations via bitcoin deposits. · DOI
- Bowden, R., Keeler, H.P., Krzesinski, A.E., Taylor, P.G., 2018. Block arrivals in the Bitcoin blockchain. arXiv preprint arXiv:1801.07447. · arXiv
- Buterin, V., Griffith, V., 2017. Casper the Friendly Finality Gadget. arXiv preprint arXiv:1710.09437. · arXiv
- Gencer, A. E., van Renesse, R., & Sirer, E. G. 2016. Service-Oriented Sharding with Aspen. arXiv preprint arXiv:1611.06816. · arXiv
- Micali, S., 2016. Algorand: the efficient and democratic ledger. arXiv preprint arXiv:1607.01341. · arXiv
- Moinet, A., Darties, B., Baril, J.-L., 2017. Blockchain based trust & authentication for decentralized sensor networks. arXiv preprint arXiv:1706.01730. · arXiv
Cited by
Sorted by citations
Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers
Kouhizadeh, M., Saberi, S., & Sarkis, J. (2020) · International Journal of Production Economics · doi:10.1016/j.ijpe.2020.107831 · Cited by 1,699
An overview on smart contracts: Challenges, advances and platforms
Zheng, Z., Xie, S., Dai, H., Chen, W., Chen, X., Weng, J., & Imran, M. A. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.12.019 · Cited by 1,242
A survey of blockchain from the perspectives of applications, challenges, and opportunities
Monrat, A. A., Schelen, O., & Andersson, K. (2019) · IEEE Access · doi:10.1109/access.2019.2936094 · Cited by 1,077
Blockchain smart contracts: Applications, challenges, and future trends
Khan, S. N., Loukil, F., Ghedira-Guegan, C., Benkhelifa, E., & Bani-Hani, A. I. (2021) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-021-01127-0 · Cited by 971
Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research
Khezr, S., Moniruzzaman, M., Yassine, A., & Benlamri, R. (2019) · Applied Sciences · doi:10.3390/app9091736 · Cited by 575
Metadata
- Authors
- Macrinici, D., Cartofeanu, C., & Gao, S.
- Affiliations
- Örebro University (SE)
- Corresponding author
- Gao, Shang
- Venue
- Telematics and Informatics
- Publisher
- Elsevier BV
- Published
- 2018-12
- Volume
- 35
- Issue
- 8
- Pages
- 2337-2354
- ISSN
- 0736-5853 (ISSN-L)
- OpenAlex
- W2894955077
- Cited by
- 458
- References
- 68
- Citations by year
- 2026: 13 · 2025: 36 · 2024: 59 · 2023: 55 · 2022: 91 · 2021: 107 · 2020: 69 · 2019: 28
- FWCI
- 82.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Telematics and Informatics (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Social Sciences › Law › Digital Transformation in Law
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- smart contracts, blockchain, blockchain security, blockchain privacy, blockchain scalability, research trends
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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