Xinze Li Data-verified

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

Researcher

Last publication 2025 Last refreshed 2026-05-16

faculty

XINZE001@e.ntu.edu.sg

20 h-index 182 pubs 1,511 cited

Biography and Research Information

OverviewAI-generated summary

Xinze Li leads a research group at the University of Arkansas at Fayetteville. His scholarly work focuses on power electronics, particularly the design and optimization of converters using artificial intelligence and advanced modulation techniques. Li has published research on AI-based design for circuit parameters of power converters, triple phase-shift modulation for dual active bridge converters, and design methodologies for CLLC resonant DC transformers to improve efficiency and stability.

His recent publications also include work on data augmentation using large language models and seismic data interpolation. Li's research interests extend to materials science, with publications on layered cathode materials for battery applications. His h-index is 20, with 182 total publications and 1,479 total citations, indicating recent and ongoing activity in his fields of research.

Metrics

  • h-index: 20
  • Publications: 182
  • Citations: 1,511

Selected Publications

  • Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design (2026)
  • Toward Ethical AI in Power Electronics: How Engineering Practice and Roles Must Adapt (2026)
  • Virtualization as a New Scaling Law for Semiconductor Devices Beyond Geometric Scaling (2026)
  • Generalized Waveform Modeling for Dual Active Bridge with Graph Neural Networks (2025)
  • PE-GPT: A Physics-Informed Interactive Large Language Model for Power Converter Modulation Design (2024)
    7 citations DOI OpenAlex
  • A Cubic Wireless Charging Container System With Highly Uniform Magnetic Field Distribution (2024)
    8 citations DOI OpenAlex
  • PE-GPT: A New Paradigm for Power Electronics Design (2024)
    12 citations DOI OpenAlex

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Collaboration Network

194 Collaborators 56 Institutions 11 Countries

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