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W

Wei Wang

kyushu university

16H指数
59论文数
1.5K被引数
收录论文 29
发表时间
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Estimation of instantaneous wind velocity around an isolated building using proper orthogonal decomposition and quadratic stochastic estimation利用正交分解和二次随机估计对孤立建筑物周围瞬时风速的估计
errJournal of Wind Engineering and Industrial Aerodynamics
IF4.9
err2026-09-04
err0
PREAI
errWei Wang; Hideki Kikumoto; Naoki Ikegaya
err分享
err收藏
Evaluating the mixture Weibull distribution for modeling the pedestrian-level wind environment around an isolated building评估混合威布尔分布对孤立建筑周围行人高度风环境的建模
errJournal of Wind Engineering and Industrial Aerodynamics
IF4.9
err2026-04-04
err0
PREAI
errWei Wang; Yishuai Gao; Chiyoko Hirose; Mohd Faizal Mohamad; Ryuichiro Yoshie; Naoki Ikegaya
err分享
err收藏
Extreme wind events at the pedestrian level of an actual urban morphology: statistical correlation and space-time evolution实际城市形态下人行高度极端风事件的统计相关性及时空演变
errSustainable Cities and Society
IF12
err2026-01-05
err0
PREAI
errWei Wang; Yezhan Li; Naoki Ikegaya
err分享
err收藏
POD dimensional reduction for preserving turbulence statistics in urban environmentPOD降维方法用于保存城市环境中的湍流统计特性
errBuilding and Environment
IF7.6
err2025-10-30
err0
PREAI
errHaitham Osman; Wei Wang; Naoki Ikegaya
err分享
err收藏
A Pattern-constrained deep learning model for urban canopy turbulence reconstruction from sparse sensor data基于稀疏传感器数据的城市冠层湍流重构的图案约束深度学习模型
errBuilding and Environment
IF7.6
err2025-08-22
err0
PREAI
errYong Cao; Peixing Xie; Guoshuo Huang; Wei Wang; Wen-Li Chen; Gang Hu; Shuyang Cao
err分享
err收藏
Mixture Gram–Charlier series method for modelling wind velocity probability distribution in actual urban environmentsGram–Charlier级数混合方法在真实城市环境中模拟风速概率分布
errJournal of Wind Engineering and Industrial Aerodynamics
IF4.9
err2025-07-12
err0
PREAI
errWei Wang; Yezhan Li; Naoki Ikegaya
err分享
err收藏
Statistical models incorporating mean and standard deviation to predict probability distributions of pedestrian-level wind speed in a realistic urban area包含均值和标准差以预测真实城市区域行人高度风速概率分布的统计模型
errBUILDING AND ENVIRONMENT
IF7.6
err2025-07-01
err0
PREAI
errWang, Wei; Li, Yezhan; Ikegaya, Naoki
err分享
err收藏
Approximating wind speed probability distributions around a building by mixture weibull distribution with the methods of moments and L-moments
errJOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
IF4.9
err2025-02-01
err0
PREAI
errWang, Wei; Gao, Yishuai; Ikegaya, Naoki
err分享
err收藏
Impact of mesh resolutions for reproducing wind gustiness and probability distribution at pedestrian levels for a simplified block array网格分辨率对简化街区阵列行人高度处阵风性和概率分布再现的影响
errBUILDING AND ENVIRONMENT
IF7.6
err2025-02-01
err0
PREAI
errOsman, Haitham; Wang, Wei; bin Zainol, Muhd Azhar; Ikegaya, Naoki
err分享
err收藏
Comparing RANS- and LES-based statistical methods for determining low-occurrence strong wind speeds in an actual urban area
errBUILDING AND ENVIRONMENT
IF7.6
err2025-02-01
err0
PREAI
errWang, Wei; Yang, Tingjun; Li, Yezhan; Ikegaya, Naoki
err分享
err收藏
Comparisons of experimentally and numerically determined statistics for predicting low-occurrence wind speeds around a 1:1:2 block model
errBUILDING AND ENVIRONMENT
IF7.6
err2025-01-01
err0
PREAI
errTong, T.; Li, Y.; Wang, W.; Mohamad, M. F.; Okaze, T.; Ikegaya, N.
err分享
err收藏
Similarity of the low-occurrence wind profiles within urban turbulent boundary layers of uniform and non-uniform height block arrays
errBUILDING AND ENVIRONMENT
IF7.6
err2025-01-01
err0
PREAI
errZainol, Muhd Azhar bin; Wang, Wei; Ikegaya, Naoki
err分享
err收藏
Impact of momentum sources on pedestrian-level peak wind predictions of an urban-like array using large-eddy simulations and statistical models
errBUILDING AND ENVIRONMENT
IF7.6
err2025-01-01
err0
PREAI
errSanemitsu, T.; Wang, W.; Ikegaya, N.
err分享
err收藏
Comparing annual extreme winds in Iran predicted by numerical weather forecasting and Gram-Charlier statistical model with meteorological observation data
errBUILDING AND ENVIRONMENT
IF7.6
err2024-08-01
err1
PREAI
errMahmoudi, Leila; Wang, Wei; Ikegaya, Naoki
err分享
err收藏
Comparison of various statistical methods for estimating extreme wind speed at the pedestrian level in idealized and actual urban areas
errJOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
IF4.9
err2024-07-01
err4
PREAI
errWang, Wei; Sekikawa, Takeru; Okaze, Tsubasa; Ikegaya, Naoki
err分享
err收藏
Predicting low-occurrence wind speed at the pedestrian levels of simplified arrays: Artificial neural network models versus statistical methods
errBUILDING AND ENVIRONMENT
IF7.6
err2024-02-01
err4
PREAI
errLi, Y.; Wang, W.; Ikegaya, N.
err分享
err收藏
Correlations among high-order statistics and low-occurrence wind speeds within a simplified urban canopy based on particle image velocimetry datasets
errBUILDING AND ENVIRONMENT
IF7.6
err2024-01-01
err5
PREAI
errLi, Fei; Hirose, Chiyoko; Wang, Wei; Liu, Chun-Ho; Ikegaya, Naoki
err分享
err收藏
Statistical analysis for predicting low-occurrence strong wind speeds at the pedestrian level in an actual urban case在实际城市案例中预测行人水平低出现强风速的统计分析
errBUILDING AND ENVIRONMENT
IF7.6
err2023-10-01
err9
PREAI
errWang, Wei; Okaze, Tsubasa
err分享
err收藏
Modeling probability density functions of instantaneous velocity components at the pedestrian levels of a building array by Gram-Charlier series
errJOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
IF4.9
err2023-08-01
err11
PREAI
errSeta, Koki; Wang, Wei; Ikegaya, Naoki
err分享
err收藏
Comparing Weibull distribution method and Gram-Charlier series method within the context of estimating low-occurrence strong wind speed of idealized building cases
errJOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
IF4.9
err2023-05-01
err14
errOAAI
errWang, Wei; Ikegaya, Naoki; Okaze, Tsubasa
err分享
err收藏

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