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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:

Introduction to the special issue on machine learning in acoustics
Zoi-Heleni Michalopoulou, Peter Gerstoft, Bożena Kostek, et al.
The Journal of the Acoustical Society of America (2021) Vol. 150, Iss. 4, pp. 3204-3210
Open Access | Times Cited: 22

Showing 22 citing articles:

A review of machine learning methods applied to structural dynamics and vibroacoustic
Barbara Zaparoli Cunha, Christophe Droz, Abdelmalek Zine, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110535-110535
Open Access | Times Cited: 77
Microwave and Acoustic Absorption Metamaterials
Sichao Qu, Ping Sheng
Physical Review Applied (2022) Vol. 17, Iss. 4
Open Access | Times Cited: 65
Recent progress on dynamics and control of pipes conveying fluid
Ye Tang, Hu-Jie Zhang, Li‐Qun Chen, et al.
Nonlinear Dynamics (2024)
Closed Access | Times Cited: 15
Predicting ocean pressure field with a physics-informed neural network
Seunghyun Yoon, Yongsung Park, Peter Gerstoft, et al.
The Journal of the Acoustical Society of America (2024) Vol. 155, Iss. 3, pp. 2037-2049
Closed Access | Times Cited: 7
Accelerated inverse design of customizable acoustic metaporous structures using a CNN-GA-based hybrid optimization framework
Baorui Pan, Xiang Song, Jingjian Xu, et al.
Applied Acoustics (2023) Vol. 210, pp. 109445-109445
Closed Access | Times Cited: 13
Gaussian-Based Machine Learning Algorithm for the Design and Characterization of a Porous Meta-Material for Acoustic Applications
Alessandro Casaburo, Dario Magliacano, Giuseppe Petrone, et al.
Applied Sciences (2021) Vol. 12, Iss. 1, pp. 333-333
Open Access | Times Cited: 27
Dynamically orthogonal narrow-angle parabolic equations for stochastic underwater sound propagation. Part I: Theory and schemes
Wael H. Ali, Pierre F. J. Lermusiaux
The Journal of the Acoustical Society of America (2024) Vol. 155, Iss. 1, pp. 640-655
Closed Access | Times Cited: 3
A Deep Learning Localization Method for Acoustic Source via Improved Input Features and Network Structure
Dajun Sun, Xiaoying Fu, Tingting Teng
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1391-1391
Open Access | Times Cited: 3
Sound absorption estimation of finite porous samples with deep residual learning
Elías Zea, Eric Brandão, Mélanie Nolan, et al.
The Journal of the Acoustical Society of America (2023) Vol. 154, Iss. 4, pp. 2321-2332
Open Access | Times Cited: 7
Predicting infrasound transmission loss using deep learning
Quentin Brissaud, Sven Peter Näsholm, Antoine Turquet, et al.
Geophysical Journal International (2022) Vol. 232, Iss. 1, pp. 274-286
Open Access | Times Cited: 9
Rediscovering Automatic Detection of Stuttering and Its Subclasses through Machine Learning—The Impact of Changing Deep Model Architecture and Amount of Data in the Training Set
P. Filipowicz, Bożena Kostek
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 6192-6192
Open Access | Times Cited: 5
Predicting Acoustic Transmission Loss Uncertainty in Ocean Environments with Neural Networks
Brandon M. Lee, J. R. Johnson, David R. Dowling
Journal of Marine Science and Engineering (2022) Vol. 10, Iss. 10, pp. 1548-1548
Open Access | Times Cited: 7
Deep unsupervised adversarial domain adaptation for underwater source range estimation
Runling Long, Jianbo Zhou, Ningning Liang, et al.
The Journal of the Acoustical Society of America (2023) Vol. 154, Iss. 5, pp. 3125-3144
Closed Access | Times Cited: 3
Cluster-aware channel estimation with deep learning method in deep-water acoustic communications
Diya Wang, Yonglin Zhang, Yupeng Tai, et al.
The Journal of the Acoustical Society of America (2023) Vol. 154, Iss. 3, pp. 1757-1769
Closed Access | Times Cited: 2
Harmonic Source Depth Estimation by a Single Hydrophone under Unknown Seabed Geoacoustic Property
Xiaolei Li, Yangjin Xu, Wei Gao, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2227-2227
Open Access
Noise profiling for speech enhancement employing machine learning models
Krzysztof Kąkol, Gražina Korvel, Bożena Kostek
The Journal of the Acoustical Society of America (2022) Vol. 152, Iss. 6, pp. 3595-3605
Closed Access | Times Cited: 2
Multimedia Vocal Performance Automation Evaluation Model Based on RBF Network
Yu Wang
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 1
Utilizing machine learning techniques for predictive modelling of absorptivity in l-shaped metamaterials
Mohammad Adil
Materials research proceedings (2023)
Open Access
Range estimation in a weakly range-dependent waveguide in the South China Sea using single hydrophone and multi-task trained deep neural network
Runling Long, Ningning Liang, Jianbo Zhou, et al.
Applied Acoustics (2023) Vol. 213, pp. 109630-109630
Closed Access
A Markov Model-Based Fusion Algorithm for Distorted Electronic Technology Archives
Lei Wang
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access
Predicting infrasound transmission loss using deep learning
Quentin Brissaud, Sven Peter Näsholm, Antoine Turquet, et al.
(2022)
Open Access
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