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:

Optimization of Space-Time image velocimetry based on deep residual learning
Yu Huang, Hua Chen, Kailin Huang, et al.
Measurement (2024) Vol. 232, pp. 114688-114688
Closed Access | Times Cited: 7

Showing 7 citing articles:

Validity Identification and Rectification of Water Surface Fast Fourier Transform-Based Space-Time Image Velocimetry (FFT-STIV) Results
Zhen Zhang, Lin Chen, Yuan Zhang, et al.
Sensors (2025) Vol. 25, Iss. 1, pp. 257-257
Open Access | Times Cited: 1

Data-driven digital twin framework for large-scale dynamic structures based on model reduction and damage regression identification
Hanxu Yang, Bo Yan, Kaiwen Wu, et al.
Engineering Structures (2025) Vol. 327, pp. 119688-119688
Closed Access | Times Cited: 1

Improving river surface flow velocity measurement by coupling adaptive flow direction search algorithm with space-time image velocimetry
Nie Zhou, Hua Chen, Chong‐Yu Xu, et al.
Journal of Hydrology (2025), pp. 132800-132800
Closed Access

Estimation of River Velocity and Discharge Based on Video Images and Deep Learning
Ruiting Liu, Dong-Van He, Na Li, et al.
Applied Sciences (2025) Vol. 15, Iss. 9, pp. 4865-4865
Open Access

River Surface Space–Time Image Velocimetry Based on Dual-Channel Residual Network
Ling Gao, Zhen Zhang, Lin Chen, et al.
Applied Sciences (2025) Vol. 15, Iss. 10, pp. 5284-5284
Open Access

A Two-Stage Space-Time image Velocimetry method based on deep learning
Lin Chen, Zhen Zhang, Hongyu Chen, et al.
Measurement (2025), pp. 117817-117817
Closed Access

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