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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:

A quantitative laser speckle-based velocity prediction approach using machine learning
Xiaoqi Hao, Shuicai Wu, Lan Lin, et al.
Optics and Lasers in Engineering (2023) Vol. 166, pp. 107587-107587
Open Access | Times Cited: 9

Showing 9 citing articles:

Robust Vascular Segmentation for Raw Complex Images of Laser Speckle Contrast Based on Weakly Supervised Learning
Suzhong Fu, Jing Xu, Shilong Chang, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 1, pp. 39-50
Closed Access | Times Cited: 10
Design and validation of a convolutional neural network for fast, model-free blood flow imaging with multiple exposure speckle imaging
Chao-Yueh Yu, Marc Chammas, Hirac Gurden, et al.
Biomedical Optics Express (2023) Vol. 14, Iss. 9, pp. 4439-4439
Open Access | Times Cited: 8
Method for measuring blood flow and depth of blood vessel based on laser speckle contrast imaging using 3D convolutional neural network: A preliminary study
Hyun-Seo Park, Yeh‐Chan Ahn
Optics & Laser Technology (2024) Vol. 179, pp. 111367-111367
Closed Access | Times Cited: 1
Statistical assessment of the inner shape of a channel based on laser speckle contrast imaging
David Abookasis, David Molcho, David Shemesh, et al.
Journal of Modern Optics (2024) Vol. 71, Iss. 7-8, pp. 266-274
Closed Access | Times Cited: 1
Quantum machine learning enhanced laser speckle analysis for precise speed prediction
Yixiong Chen, W B Han, Guangyu Bin, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Classification of Object Shape by Machine Learning-Based Flow Maps Obtained with Laser Speckle Imaging
David Abookasis, Ori Izhak Rosenberg, Itay Zinn, et al.
(2024)
Closed Access
Combining transmission speckle photography and convolutional neural network for determination of fat content in cow milk: an exercise in classification of parameters of a complex suspension
Kwasi Nyandey, Daniel Jakubczyk
The European Physical Journal Plus (2024) Vol. 139, Iss. 2
Closed Access
Multi-exposure Laser Speckle Contrast Imaging (MECI)-Based Prediction of Blood Flow Using Random Forest (RF) With K-Means (KM)
Pankaj Jain, Saurabh Gupta
Cureus (2023)
Open Access
Enhancing blood flow prediction in multi-exposure laser speckle contrast imaging through ensemble learning with K-mean clustering
Pankaj Jain, Saurabh Gupta
Biomedical Physics & Engineering Express (2023) Vol. 10, Iss. 2, pp. 025005-025005
Closed Access
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