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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Applications of Machine Learning to Wind Engineering
Teng Wu, Reda Snaiki
Frontiers in Built Environment (2022) Vol. 8
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Machine learning for bridge wind engineering
Zeyu Zhang, Shanwu Li, Hui Feng, et al.
Advances in wind engineering. (2024) Vol. 1, Iss. 1, pp. 100002-100002
Open Access | Times Cited: 20
Optimizing Post-Hurricane Recovery of Interdependent Infrastructure Systems via Knowledge-Enhanced Deep Reinforcement Learning
Shaopeng Li, Teng Wu
Advances in wind engineering. (2025), pp. 100039-100039
Open Access | Times Cited: 1
Data-driven wind-induced response prediction for slender civil infrastructure: Progress, challenges and opportunities
Yiming Zhang, Haoqing Li, Hao Wang
Structures (2025) Vol. 74, pp. 108650-108650
Closed Access | Times Cited: 1
A machine learning regression approach for predicting the bearing capacity of a strip footing on rock mass under inclined and eccentric load
Van Qui Lai, Kongtawan Sangjinda, Suraparb Keawsawasvong, et al.
Frontiers in Built Environment (2022) Vol. 8
Open Access | Times Cited: 29
A novel hybrid machine learning model for rapid assessment of wave and storm surge responses over an extended coastal region
Saeed Saviz Naeini, Reda Snaiki
Coastal Engineering (2024) Vol. 190, pp. 104503-104503
Open Access | Times Cited: 8
Identification of the form of self-excited aerodynamic force of bridge deck based on machine learning
Shujin Laima, Zeyu Zhang, Xiaowei Jin, et al.
Physics of Fluids (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 6
A physics-informed machine learning model for time-dependent wave runup prediction
Saeed Saviz Naeini, Reda Snaiki
Ocean Engineering (2024) Vol. 295, pp. 116986-116986
Open Access | Times Cited: 6
A new analytical wind turbine wake model considering the effects of coriolis force and yawed conditions
Reda Snaiki, Seyedali Makki
Journal of Wind Engineering and Industrial Aerodynamics (2024) Vol. 250, pp. 105767-105767
Open Access | Times Cited: 6
Explainable machine learning-based prediction for aerodynamic interference of a low-rise building on a high-rise building
Bowen Yan, Wenhao Ding, Zhao Jin, et al.
Journal of Building Engineering (2023) Vol. 82, pp. 108285-108285
Closed Access | Times Cited: 16
Data-driven prediction of critical flutter velocity of long-span suspension bridges using a probabilistic machine learning approach
Sévérin Tinmitonde, Xuhui He, Lei Yan, et al.
Computers & Structures (2023) Vol. 280, pp. 107002-107002
Closed Access | Times Cited: 15
Modeling nonlinear flutter behavior of long‐span bridges using knowledge‐enhanced long short‐term memory network
Tao Li, Teng Wu
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 11, pp. 1504-1519
Closed Access | Times Cited: 15
Dynamic stall modeling of wind turbine blade sections based on a data-knowledge fusion method
Zijie Shi, Chuanqiang Gao, Zihao Dou, et al.
Energy (2024) Vol. 305, pp. 132234-132234
Closed Access | Times Cited: 5
A metaheuristic-optimization-based neural network for icing prediction on transmission lines
Reda Snaiki, Abdeslam Jamali, Ahmed Rahem, et al.
Cold Regions Science and Technology (2024) Vol. 224, pp. 104249-104249
Open Access | Times Cited: 4
Machine Learning for Pedestrian-Level Wind Comfort Analysis
Miray Gür, İlker Karadağ
Buildings (2024) Vol. 14, Iss. 6, pp. 1845-1845
Open Access | Times Cited: 4
Comparative study on deep and machine learning approaches for predicting wind pressures on tall buildings
Mosbeh R. Kaloop, Abidhan Bardhan, Pijush Samui, et al.
Alexandria Engineering Journal (2024) Vol. 111, pp. 610-627
Closed Access | Times Cited: 4
Towards accurate ice accretion and galloping risk maps for Quebec: A data-driven approach
Abdeslam Jamali, Reda Snaiki, Ahmed Rahem
Cold Regions Science and Technology (2025), pp. 104460-104460
Open Access
Intelligent long-term prediction of wind-induced response of super high-rise buildings during typhoons based on wind tunnel tests
Feiqiang Li, Zhuangning Xie, Lanfang Zhang, et al.
Journal of Building Engineering (2025), pp. 112144-112144
Closed Access
A deep learning-based method for full-bridge flutter analysis considering aerodynamic and geometric nonlinearities
Wenming Zhang, Dan-dian Feng, Li-ming Zhao, et al.
Computers & Structures (2025) Vol. 310, pp. 107693-107693
Closed Access
Data-knowledge-driven dynamic stall modeling guided by stall patterns and semi-empirical model
Zijie Shi, Chuanqiang Gao, Weiwei Zhang
Physics of Fluids (2025) Vol. 37, Iss. 4
Closed Access
A hybrid machine learning framework for wind pressure prediction on buildings with constrained sensor networks
Foad Mohajeri Nav, Seyedeh Fatemeh Mirfakhar, Reda Snaiki
Computer-Aided Civil and Infrastructure Engineering (2025)
Open Access
Real-Time Repositioning of Floating Wind Turbines Using Model Predictive Control for Position and Power Regulation
Timothé Jard, Reda Snaiki
Wind (2023) Vol. 3, Iss. 2, pp. 131-150
Open Access | Times Cited: 10
A machine learning-based probabilistic wind speed prediction model with multi-resolution data, quantile regression and bound estimation
Hui Feng, Wenliang Qian, Shujin Laima
Engineering Structures (2024) Vol. 322, pp. 119098-119098
Closed Access | Times Cited: 3
Towards real-time prediction of velocity field around a building using generative adversarial networks based on the surface pressure from sparse sensor networks
Bingchao Zhang, Ryozo Ooka, Hideki Kikumoto, et al.
Journal of Wind Engineering and Industrial Aerodynamics (2022) Vol. 231, pp. 105243-105243
Closed Access | Times Cited: 16
Deep reinforcement learning-based decision support system for transportation infrastructure management under hurricane events
Shaopeng Li, Teng Wu
Structural Safety (2022) Vol. 99, pp. 102254-102254
Closed Access | Times Cited: 15
Simulation of unsteady flow around bluff bodies using knowledge-enhanced convolutional neural network
Xinyang Yu, Teng Wu
Journal of Wind Engineering and Industrial Aerodynamics (2023) Vol. 236, pp. 105405-105405
Closed Access | Times Cited: 8
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