LabCompass

Honglang Wang

Mathematics · Indiana University

OpenAlex ORCID
Statistical Methods and InferenceStatistical Methods and Bayesian InferencePlant Water Relations and Carbon DynamicsClimate variability and modelsGenetic Associations and Epidemiology

Publications

29

Citations

762

Est. group size

—

Recurring co-author estimate

Active years

12

Publishing since 2014

Research summary
AI-generated

Honglang Wang develops statistical methods and computational tools, with a focus on models for gene-environment interactions, high-dimensional data, and functional/longitudinal data analysis. Much of the work involves techniques like empirical likelihood ratio tests and varying-coefficient models. These methods are frequently applied to genomics and, in collaborations, to environmental and hydrology problems such as vegetation growth and evapotranspiration.

Gene-environment interaction modelingHigh-dimensional statistical inferenceFunctional and longitudinal data analysisBayesian spatiotemporal methodsStatistical applications in environmental science

Publication activity has been fairly steady over the last decade, averaging a few papers per year with some year-to-year fluctuation.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.8/year recently
2017: 4 publications4172018: 3 publications182019: 1 publication192020: 3 publications202021: 4 publications4212022: 3 publications222023: 1 publication232024: 2 publications242025: 3 publications2526
Recent publications
Publishes in
  • Statistica Sinica×2
  • Author eBooks×2
  • Wiley StatsRef: Statistics Reference Online×2
  • arXiv (Cornell University)×2
  • Nature Communications×1

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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