LabCompass

Peijun Li

Mathematics · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1995
Numerical methods in inverse problemsElectromagnetic Simulation and Numerical MethodsMicrowave Imaging and Scattering AnalysisElectromagnetic Scattering and AnalysisNumerical methods in engineering

Publications

223

Citations

3,298

Est. group size

—

Recurring co-author estimate

Active years

32

Publishing since 1995

Research summary
AI-generated

Peijun Li works in applied and computational mathematics, focusing on inverse problems and wave scattering theory. Much of the work involves developing numerical methods to reconstruct hidden sources, potentials, or material properties from indirect measurements of waves (such as biharmonic, elastic, or electromagnetic waves), including cases involving random or noisy data. This research has applications in imaging, sensing, and engineering simulation, such as thermoelastic scattering or nuclear reactor modeling.

Inverse problems for wave equationsNumerical methods for scattering and imagingStochastic/random source and potential problemsFinite element and boundary integral methodsComputational modeling for engineering applications

Publication output has remained fairly steady over the past decade, with year-to-year fluctuations but no clear long-term increase or decline, averaging roughly 12 publications per year over the last five years.

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

Publication cadence
Publications per year over the last 10 years — averaging 11.8/year recently
2017: 20 publications172018: 11 publications182019: 14 publications192020: 18 publications202021: 33 publications33212022: 11 publications222023: 18 publications232024: 14 publications242025: 15 publications252026: 1 publication26
Recent publications
Publishes in
  • arXiv (Cornell University)×69
  • Inverse Problems×12
  • Inverse Problems and Imaging×8
  • Applied mathematical sciences×8
  • SIAM Journal on Applied Mathematics×5
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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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