flowlong产品(aizuda/flowlong)
Cybercrime and shifts in opportunities during COVID-19: a preliminary analysis in the UK论文
European Societies2020引用: 243
Are Bitcoin and Ethereum safe-havens for stocks during the COVID-19 pandemic?论文
Finance research letters2020引用: 347
Safe haven or risky hazard? Bitcoin during the Covid-19 bear market论文
Finance research letters2020引用: 818
Blockchain as a confidence machine: The problem of trust & challenges of governance论文
Technology in Society2020引用: 377
Decentralized Mining in Centralized Pools论文
Review of Financial Studies2020引用: 303
Sex, Drugs, and Bitcoin: How Much Illegal Activity Is Financed through Cryptocurrencies?论文
Review of Financial Studies2019引用: 869
Protecting World Leaders Against Deep Fakes论文
Computer Vision and Pattern Recognition2019引用: 298
Advancing theory of fraud: the S.C.O.R.E. model论文
Journal of Financial Crime2019引用: 368
Machine learning techniques for anti-money laundering (AML) solutions in suspicious transaction detection: a review论文
Knowledge and Information Systems2018引用: 239
Effects of the geopolitical risks on Bitcoin returns and volatility论文
Research in International Business and Finance2018引用: 384
RETRACTED: Cryptocurrencies as a financial asset: A systematic analysis论文
International Review of Financial Analysis2018引用: 1.1K
Price manipulation in the Bitcoin ecosystem论文
Journal of Monetary Economics2018引用: 733
A Blockchain-Based Approach Towards Overcoming Financial Fraud in Public Sector Services论文
Business & Information Systems Engineering2017引用: 223
Optimal Selfish Mining Strategies in Bitcoin论文
Lecture notes in computer science2017引用: 480
Hidden wholesale: The drug diffusing capacity of online drug cryptomarkets论文
International Journal of Drug Policy2016引用: 229
Applying Routine Activity Theory to Cybercrime: A Theoretical and Empirical Analysis论文
Deviant Behavior2016引用: 392
Blockchain Mining Games论文
2016引用: 238
On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?论文
Finance research letters2016引用: 1.4K
How the machine ‘thinks’: Understanding opacity in machine learning algorithms论文
Big Data & Society2016引用: 2.4K
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