Xiaohua Wu Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

Last publication 2026 Last refreshed 2026-05-23

faculty

5 h-index 15 pubs 98 cited

Biography and Research Information

OverviewAI-generated summary

Xiaohua Wu's research investigates computational methods for predicting and interpreting human happiness, drawing on domain knowledge and sociological insights. Wu's work explores factor interactions and decorrelation to enhance the consistency and interpretability of happiness predictions, as evidenced in publications from 2022 to 2025. This research also extends to computational personality analysis, aiming for interpretability in predictions. In parallel, Wu has explored advanced engineering topics, including a novel nonlinear control strategy for fuel cell systems in more electric aircraft and modulation strategies for single-stage inverters, with publications in these areas appearing in 2025. Wu's scholarship metrics include an h-index of 5, with 15 total publications and 95 total citations.

Metrics

  • h-index: 5
  • Publications: 15
  • Citations: 98

Selected Publications

  • Enhancing Interpretability for Computational Personality Analysis in Education (2025)

View all publications on OpenAlex →

Collaboration Network

28 Collaborators 10 Institutions 4 Countries

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