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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:

Classification of Surface Vehicle Propeller Cavitation Noise Using Spectrogram Processing in Combination with Convolution Neural Network
Nhat Hoang Bach, Le Ha Vu, Văn Đức Nguyễn
Sensors (2021) Vol. 21, Iss. 10, pp. 3353-3353
Open Access | Times Cited: 14

Showing 14 citing articles:

A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance
Lucas C. F. Domingos, Paulo E. Santos, Phillip S. M. Skelton, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2181-2181
Open Access | Times Cited: 33
Joint learning model for underwater acoustic target recognition
Shengzhao Tian, Duanbing Chen, Yan Fu, et al.
Knowledge-Based Systems (2022) Vol. 260, pp. 110119-110119
Open Access | Times Cited: 31
A survey on machine learning in ship radiated noise
Hilde I. Hummel, Rob van der Mei, Sandjai Bhulai
Ocean Engineering (2024) Vol. 298, pp. 117252-117252
Open Access | Times Cited: 4
Classifying marine mammals signal using cubic splines interpolation combining with triple loss variational auto-encoder
Nhat Hoang Bach, Le Ha Vu, Văn Đức Nguyễn, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Cavitation state recognition for control valve using AlexNet-type neural networks with three-channel images transformed by time series
Jianqiu Wei, Xiumei Liu, Beibei Li, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 5, pp. 055301-055301
Closed Access | Times Cited: 5
SFC-Sup: Robust Two-Stage Underwater Acoustic Target Recognition Method Based on Supervised Contrastive Learning
Pengsen Zhu, Yonggang Zhang, Yulong Huang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-23
Closed Access | Times Cited: 4
Improving the classification of propeller ships using LOFAR and triple loss variational auto encoder
Nhat Hoang Bach, Văn Đức Nguyễn, Le Ha Vu
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) (2022)
Closed Access | Times Cited: 4
Underwater Acoustic Target Recognition in Passive Sonar Using Spectrogram and Modified MobileNet Network Classifier
Hassan Akbarian, Mohammad Hossein Sedaaghi
(2023)
Open Access | Times Cited: 1
Underwater Acoustic Target Recognition Using Spectrogram ROI Approximation And Mobilenet One-Dimensional And Two-Dimensional Networks
Hassan Akbarian, Mohammad Hossein Sedaaghi
(2023)
Open Access
Underwater Acoustic Target Recognition in Passive Sonar Using Spectrogram and Modified MobileNet Network Classifier
Hassan Akbarian, Mohammad Hossein Sedaaghi
(2023)
Open Access
Underwater Acoustic Target Recognition in Passive Sonar Using Spectrogram and Modified MobileNet Network Classifier
Hassan Akbarian, Mohammad Hossein Sedaaghi
Research Square (Research Square) (2023)
Open Access
Underwater Acoustic Target Recognition Using Spectrogram ROI Approximation with Mobilenet One-dimensional and Two-dimensional Networks
Hassan Akbarian, Mohammad Hossein Sedaaghi
Research Square (Research Square) (2023)
Open Access
Using cubic splines interpolation to enhance classification of marine mammals signal
Nhat Hoang Bach, Văn Đức Nguyễn, Le Ha Vu
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) (2022) Vol. 10, pp. 1-5
Closed Access
Machine learning methods for vessel type classification with underwater acoustic data
Lucas Domingos
(2022)
Closed Access
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