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20152023
most citedAn Overview on Smart Contracts: Challenges, Advances and Platforms

1.2k citations · 4.2k across the 61 of their papers we have counts for

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Showing cs.SIShow all

6 papers · 1 filter

cs.SI2022★ 49 cited

Complex Network Analysis of the Bitcoin Transaction Network

Bishenghui Tao, Hong-Ning Dai, Jiajing Wu +3

In this brief, we conduct a complex-network analysis of the Bitcoin transaction network. In particular, we design a new sampling method, namely random walk with flying-back (RWFB),…

cs.SI2020★ 112 cited

Modeling and Understanding Ethereum Transaction Records via a Complex Network Approach

Dan Lin, Jiajing Wu, Qi Yuan +1

As the largest public blockchain-based platform supporting smart contracts, Ethereum has accumulated a large number of user transaction records since its debut in 2014. Analysis of…

cs.SI2020★ 10 cited

Analysis of Cryptocurrency Transactions from a Network Perspective: An Overview

Jiajing Wu, Jieli Liu, Yijing Zhao +1

As one of the most important and famous applications of blockchain technology, cryptocurrency has attracted extensive attention recently. Empowered by blockchain technology, all th…

cs.SI2020★ 214 cited

Detecting Mixing Services via Mining Bitcoin Transaction Network with Hybrid Motifs

Jiajing Wu, Jieli Liu, Weili Chen +3

As the first decentralized peer-to-peer (P2P) cryptocurrency system allowing people to trade with pseudonymous addresses, Bitcoin has become increasingly popular in recent years. H…

cs.SI2019

Who Are the Phishers? Phishing Scam Detection on Ethereum via Network Embedding

Jiajing Wu, Qi Yuan, Dan Lin +4

Recently, blockchain technology has become a topic in the spotlight but also a hotbed of various cybercrimes. Among them, phishing scams on blockchain have been found making a nota…

cs.SI2019★ 106 cited

T-EDGE: Temporal WEighted MultiDiGraph Embedding for Ethereum Transaction Network Analysis

Jiajing Wu, Dan Lin, Zibin Zheng +1

Recently, graph embedding techniques have been widely used in the analysis of various networks, but most of the existing embedding methods omit the network dynamics and the multipl…