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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:

Recovery of missing field measured wind pressures on a supertall building based on correlation analysis and machine learning
Jiaxing Huang, Q.S. Li, Xu‐Liang Han
Journal of Wind Engineering and Industrial Aerodynamics (2022) Vol. 231, pp. 105237-105237
Closed Access | Times Cited: 19

Showing 19 citing articles:

Missing measurement data recovery methods in structural health monitoring: The state, challenges and case study
Jianwei Zhang, Minshui Huang, Neng Wan, et al.
Measurement (2024) Vol. 231, pp. 114528-114528
Closed Access | Times Cited: 56
Predicting transient wind loads on tall buildings in three-dimensional spatial coordinates using machine learning
D.P.P. Meddage, Damith Mohotti, Kasun Wijesooriya
Journal of Building Engineering (2024) Vol. 85, pp. 108725-108725
Open Access | Times Cited: 26
Displacement estimation for a high-rise building during Super Typhoon Mangkhut based on field measurements and machine learning
Qi Zhou, Q.S. Li, Bin Lü
Engineering Structures (2024) Vol. 307, pp. 117947-117947
Closed Access | Times Cited: 7
A multi-fidelity wind surface pressure assessment via machine learning: A high-rise building case
Anina Šarkić Glumac, Onkar Jadhav, Vladimir Despotović, et al.
Building and Environment (2023) Vol. 234, pp. 110135-110135
Open Access | Times Cited: 13
A bootstrap-based stochastic subspace method for modal parameter identification and uncertainty quantification of high-rise buildings
Kang Xu, Q.S. Li, Kang Zhou, et al.
Journal of Building Engineering (2024) Vol. 87, pp. 109007-109007
Closed Access | Times Cited: 4
Recovery Method of Continuous Missing Data in the Bridge Monitoring System Using SVMD‐Assisted TCN–MHA–BiGRU
Jingzhou Xin, X. H. Mo, Yan Jiang, et al.
Structural Control and Health Monitoring (2025) Vol. 2025, Iss. 1
Open Access
Recovery of Long-Term Missing Wind Velocity Data for Structural Health Monitoring Based on Deep Learning and Meteorological Databases
Jia-Xing Huang, Q.S. Li, Xu‐Liang Han, et al.
Journal of Structural Engineering (2025) Vol. 151, Iss. 6
Closed Access
An ANN-GA optimization method for building clusters based on wind-induced vulnerability
Bo Chen, Wei Li, Linfei Jiang, et al.
Journal of Building Engineering (2025), pp. 112696-112696
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
Improvement of GPS displacement measurement accuracy for high-rise buildings by machine learning
Qi Zhou, Q.S. Li, Xu‐Liang Han, et al.
Journal of Building Engineering (2023) Vol. 78, pp. 107581-107581
Closed Access | Times Cited: 7
Bond strength and failure mode prediction model for recycled aggregate concrete based on intelligent algorithm optimized support vector machine
Congcong Fan, Youliang Ding, Yuanxun Zheng
Structures (2024) Vol. 71, pp. 107999-107999
Closed Access | Times Cited: 2
Missing interpolation model for wind power data based on the improved CEEMDAN method and generative adversarial interpolation network
Lingyun Zhao, Zhuoyu Wang, Tingxi Chen, et al.
Global Energy Interconnection (2023) Vol. 6, Iss. 5, pp. 517-529
Open Access | Times Cited: 6
Reconstruction of missing wind data based on limited wind pressure measurements and machine learning
Jia-Xing Huang, Q.S. Li, Xu‐Liang Han
Physics of Fluids (2024) Vol. 36, Iss. 7
Closed Access | Times Cited: 1
Reconstruction of displacement responses of a supertall building during typhoons based on limited field measurements and a physics-informed machine learning model
Qi Zhou, Q.S. Li
Physics of Fluids (2024) Vol. 36, Iss. 8
Closed Access | Times Cited: 1
Interpolating wind pressure time-histories around a tall building - A deep learning-based approach
D.P.P. Meddage, Damith Mohotti, Kasun Wijesooriya, et al.
Journal of Wind Engineering and Industrial Aerodynamics (2024) Vol. 256, pp. 105968-105968
Open Access | Times Cited: 1
Prediction of Wind-Pressure Coefficients on Circular Elevated-Tanks Through the Novel CFD-ANN Model for Various Building-Interference Circumstances
Soumya Mukherjee, Jalla Sandeep Kumar Reddy, Dilip Kumar Singha Roy
International journal of computational fluid dynamics (2023) Vol. 37, Iss. 5, pp. 367-394
Closed Access | Times Cited: 2
Simulation-Based Data-Driven Wind Engineering—Analyzing the Influence of Building Proximity and Skyways on Pedestrian Comfort
Knut Erik Teigen Giljarhus, Trond-Ola Hågbo
Structural integrity (2024), pp. 241-253
Closed Access
Prediction of wind pressures on supertall buildings based on proper orthogonal decomposition and machine learning
Jiaxing Huang, Q.S. Li, Xu‐Liang Han
The Structural Design of Tall and Special Buildings (2024)
Closed Access
Reconstruction of Extreme Wind Pressures on Cladding of a Skyscraper during Super Typhoon Mangkhut
Jiaxing Huang, Q.S. Li, Xu‐Liang Han
Journal of Structural Engineering (2023) Vol. 149, Iss. 10
Closed Access | Times Cited: 1
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