LabCompass

Hongfang Lü

Engineering · Purdue University West Lafayette

Mid career · publishing since 2002Rising activity

Publications

305

Citations

9,582

Est. group size

~1

Recurring co-author estimate

Active years

25

Publishing since 2002

Research summary
AI-generated

Hongfang Lü's work centers on the safety, integrity, and monitoring of oil and gas pipeline systems, including corrosion prediction, leak detection, defect characterization using ultrasonic and sensor techniques, and risk assessment of pipeline failures. The research combines engineering analysis with data-driven and machine-learning methods to predict pipeline degradation and estimate greenhouse gas emissions from energy infrastructure. Prospective students would engage with topics spanning structural reliability, corrosion science, environmental risk, and applied computational modeling for energy pipeline systems.

Pipeline integrity and corrosion analysisLeak detection and gas emission quantificationMachine learning for infrastructure degradation predictionStructural health monitoring via ultrasonic/guided wavesEnergy system risk assessment and CO2/hydrogen infrastructure

Publication output has grown substantially over the last decade, rising from about a dozen papers per year in 2017-2018 to consistently over 30 per year since 2023.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 26.0/year recently
2017: 12 publications172018: 10 publications182019: 25 publications192020: 33 publications202021: 13 publications212022: 16 publications222023: 39 publications39232024: 36 publications242025: 35 publications252026: 4 publications26
Recent publications
Publishes in
  • Figshare×17
  • Journal of Pipeline Systems Engineering and Practice×13
  • Journal of Cleaner Production×12
  • Energy×7
  • Tunnelling and Underground Space Technology×6
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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 20, 2026.

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