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Naoki Ikegaya

Biographic Data

ID8964464
NAMENaoki Ikegaya
GIVEN NAMESNaoki
FAMILY NAMEIkegaya
SIGNATUREIKEGAYA N
AFFILIATIONSKyushu University
ORCID0000-0002-7458-426X
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Extreme wind events at the pedestrian level of an actual urban morphology

    Open Access•Wei Wang, Yezhan Li et al.•ARTICLE•Sustainable Cities and Society•2026

  • Directly determining mean and instantaneous ventilation rates using stereoscopic PIV for single-sided and cross ventilations of a cubic building

    Open Access•Wei Wang, Chiyoko Hirose et al.•ARTICLE•Sustainable Cities and Society•2025

  • Extrapolating low-occurrence strong wind speeds at pedestrian levels using artificial neural networks trained by a single turbulent dataset

    Open Access•Yezhan Li, Wei Wang et al.•ARTICLE•Sustainable Cities and Society•2024

  • Pedestrian-level low-occurrence wind speeds in an urban area predicted by artificial neural networks from fundamental statistics

    Open Access•Yezhan Li, Katuo Seta et al.•ARTICLE•Sustainable Cities and Society•2024

No prominent works on this page.

  • Extrapolating low-occurrence strong wind speeds at pedestrian levels using artificial neural networks trained by a single turbulent dataset

    Open Access•Yezhan Li, Wei Wang et al.•ARTICLE•Sustainable Cities and Society•2024

  • Pedestrian-level low-occurrence wind speeds in an urban area predicted by artificial neural networks from fundamental statistics

    Open Access•Yezhan Li, Katuo Seta et al.•ARTICLE•Sustainable Cities and Society•2024

  • Directly determining mean and instantaneous ventilation rates using stereoscopic PIV for single-sided and cross ventilations of a cubic building

    Open Access•Wei Wang, Chiyoko Hirose et al.•ARTICLE•Sustainable Cities and Society•2025

  • Extreme wind events at the pedestrian level of an actual urban morphology

    Open Access•Wei Wang, Yezhan Li et al.•ARTICLE•Sustainable Cities and Society•2026

Wind and Air Flow Studies (4 works) · Computer Science (3 works) · Engineering (3 works) · Aerodynamics and Fluid Dynamics Research (2 works) · Artificial Intelligence (2 works) · Artificial neural network (2 works) · Environmental Science (2 works) · Geography (2 works) · Meteorological Phenomena and Simulations (2 works) · Meteorology (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae