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The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

An overview on smart contracts: Challenges, advances and platforms

Open access
Zheng, Zibin, Xie, Shaoan, Dai, Hong-Ning, Chen, Weili, Chen, Xiangping, Weng, Jian, Imran, Muhammad·2020·Future Generation Computer Systems

Abstract

Abstract Smart contract technology is reshaping conventional industry and business processes. Being embedded in blockchains, smart contracts enable the contractual terms of an agreement to be enforced automatically without the intervention of a trusted third party. As a result, smart contracts can cut down administration and save services costs, improve the efficiency of business processes and reduce the risks. Although smart contracts are promising to drive the new wave of innovation in business processes, there are a number of challenges to be tackled. This paper presents a survey on smart contracts. We first introduce blockchains and smart contracts. We then present the challenges in smart contracts as well as recent technical advances. We also compare typical smart contract platforms and give a categorization of smart contract applications along with some representative examples.

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Metadata

Authors
Zheng, Z., Xie, S., Dai, H.-N., Chen, W., Chen, X., Weng, J., & Imran, M.
Venue
Future Generation Computer Systems
Publisher
Elsevier BV
Published
2020-04
Volume
105
Pages
475-491
ISSN
0167-739X (ISSN-L)
OpenAlex
W2995871203
Cited by
1,197
References
8
FWCI
121.21
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: An overview on smart contracts: Challenges, advances and platforms. https://app.cochat.ai/papers/10.1016/j.future.2019.12.019
The paper
Zheng, Z., Xie, S., Dai, H.-N., Chen, W., Chen, X., Weng, J., & Imran, M. (2020). An overview on smart contracts: Challenges, advances and platforms. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2019.12.019

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.