LabCompass

Jieli Liu

Computer Science · Indiana University

Publications

53

Citations

708

Est. group size

Recurring co-author estimate

Active years

18

Publishing since 2008

Research summary
AI-generated

Jieli Liu studies the security and analysis of blockchain systems, with a strong focus on detecting fraud such as phishing scams and Ponzi schemes on Ethereum and related platforms. This work uses network analysis and machine learning to trace transactions and identify malicious accounts. A smaller portion of the recent output involves weather-related data (wind and precipitation downscaling), reflecting some cross-disciplinary collaboration.

Blockchain security and fraud detectionEthereum phishing and Ponzi scheme detectionTransaction tracing and network analysisGraph-based machine learningNFT and Web3 ecosystem analysis

Publication activity grew substantially through the last decade, peaking around 2022-2024, with an average of roughly 7.6 papers per year over the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 7.6/year recently
2017: 2 publications17182019: 2 publications192020: 5 publications202021: 3 publications212022: 8 publications222023: 15 publications15232024: 12 publications242025: 3 publications2526
Recent publications
Publishes in
  • arXiv (Cornell University)×6
  • Big data management×5
  • IEEE Transactions on Information Forensics and Security×4
  • Communications in computer and information science×2
  • 2022 IEEE International Symposium on Circuits and Systems (ISCAS)×2

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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