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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:

Deep cepstrum-wavelet autoencoder: A novel intelligent sonar classifier
Hailong Jia, Mohammad Khishe, Mokhtar Mohammadi, et al.
Expert Systems with Applications (2022) Vol. 202, pp. 117295-117295
Closed Access | Times Cited: 24

Showing 24 citing articles:

Deep continuous convolutional networks for fault diagnosis
Xufeng Huang, Tingli Xie, Jinhong Wu, et al.
Knowledge-Based Systems (2024) Vol. 292, pp. 111623-111623
Closed Access | Times Cited: 14
Effective time-series Data Augmentation with Analytic Wavelets for bearing fault diagnosis
Delanyo Kwame Bensah Kulevome, Hong Wang, Bernard Cobbinah, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123536-123536
Closed Access | Times Cited: 13
Facial emotion recognition and music recommendation system using CNN-based deep learning techniques
Brijesh Bakariya, Arshdeep Singh, Harmanpreet Singh, et al.
Evolving Systems (2023) Vol. 15, Iss. 2, pp. 641-658
Closed Access | Times Cited: 16
Unraveling complex data diversity in underwater acoustic target recognition through convolution-based mixture of experts
Yuan Xie, Jiawei Ren, Xu Ji
Expert Systems with Applications (2024) Vol. 249, pp. 123431-123431
Open Access | Times Cited: 6
Open-set recognition with long-tail sonar images
Wenpei Jiao, Jianlei Zhang, Chunyan Zhang
Expert Systems with Applications (2024) Vol. 249, pp. 123495-123495
Closed Access | Times Cited: 6
A new Two-Stream Temporal-Frequency transformer network for underwater acoustic target recognition
Dongyao Bi, Lijun Zhang, Jie Chen
Signal Processing (2025), pp. 109891-109891
Closed Access
SUPER-COUGH: A Super Learner-based ensemble machine learning method for detecting disease on cough acoustic signals
E. Topuz, Yasin Kaya
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106165-106165
Closed Access | Times Cited: 4
Improving english vocabulary learning with a hybrid deep learning model optimized by enhanced search algorithm
Zheng Fang
Egyptian Informatics Journal (2025) Vol. 29, pp. 100619-100619
Open Access
Underwater Image Detection and Recognition Using Radial Basis Function Neural Networks and Chimp Optimization Algorithm
Ye Tian, Mohammad Khishe, Rasoul Karimi, et al.
Circuits Systems and Signal Processing (2023) Vol. 42, Iss. 7, pp. 3963-3982
Closed Access | Times Cited: 12
MSLEFC: A low-frequency focused underwater acoustic signal classification and analysis system
Yunqi Zhang, Qunfeng Zeng
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106333-106333
Closed Access | Times Cited: 11
Sonar data classification by using few-shot learning and concept extraction
Mohamadreza Ghavidel, Seyed Majid Hasani Azhdari, Mohammad Khishe, et al.
Applied Acoustics (2022) Vol. 195, pp. 108856-108856
Closed Access | Times Cited: 14
UAWC: An intelligent underwater acoustic target recognition system for working conditions mismatching
Anqi Jin, Shuang Yang, Xiangyang Zeng, et al.
Digital Signal Processing (2024) Vol. 154, pp. 104652-104652
Closed Access | Times Cited: 1
Masked autoencoder with dynamic multi-loss adaptation mechanism for few shot wafer map pattern recognition
Qi Liang, Jian Zhou, Yonglin Wang
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109070-109070
Closed Access | Times Cited: 1
Completion-Attention Ladder Network for Few-Shot Underwater Acoustic Recognition
Xue Lingzhi, Xiangyang Zeng, Xiang Yan, et al.
Neural Processing Letters (2023) Vol. 55, Iss. 7, pp. 9563-9579
Open Access | Times Cited: 3
FUZ-SMO: A fuzzy slime mould optimizer for mitigating false alarm rates in the classification of underwater datasets using deep convolutional neural networks
Dong Zhang, Zhiyong Jiang, F. Mohammadzadeh, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28681-e28681
Open Access
Reducing Ambient Noise Diffusion Model for Underwater Acoustic Target
Yunqi Zhang, Qunfeng Zeng
(2024)
Closed Access
An improved dung beetle optimization with recurrent convolutional neural networks for efficient detection and classification of undersea water object images
J. Jeno Jasmine, S. Edwin Raja, R. Muniraj, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 4, pp. 3651-3671
Closed Access
Underwater Acoustic Target Classification Using Scattering Transform with Small Sample Size
Xiling Yao, Shumin Liu, Jie Chen, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 16, pp. 25998-26010
Closed Access
Advancing robust underwater acoustic target recognition through multitask learning and multi-gate mixture of experts
Yuan Xie, Jiawei Ren, Junfeng Li, et al.
The Journal of the Acoustical Society of America (2024) Vol. 156, Iss. 1, pp. 244-255
Closed Access
Survey of AI-driven routing protocols in underwater acoustic networks for enhanced communication efficiency
Kiran Saleem, Lei Wang, Salil Bharany
Ocean Engineering (2024) Vol. 314, pp. 119606-119606
Closed Access
Unsupervised time–frequency environment perception model for underwater vehicle in irregular ocean
Lei Lei, Xinwang Liu, Yang Gang
Ocean Engineering (2023) Vol. 275, pp. 114086-114086
Closed Access | Times Cited: 1
Model for Underwater Acoustic Target Recognition with Attention Mechanism Based on Residual Concatenate
Zhe Chen, Guohao Xie, Mingsong Chen, et al.
Journal of Marine Science and Engineering (2023) Vol. 12, Iss. 1, pp. 24-24
Open Access
Underwater Acoustic Target Recognition based on Graph Wavelet Bispectrum
Xin Chen, Jie Shao, Xingxing Wang
(2023), pp. 529-533
Closed Access
Underwater acoustic object recognition with few shot SE_RseNet_Decoder semi-supervised learning
Xue Lingzhi, Xiangyang Zeng, Xiang Yan, et al.
Research Square (Research Square) (2022)
Open Access
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