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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 Survey of Underwater Acoustic Target Recognition Methods Based on Machine Learning
Xinwei Luo, Lu Chen, Hanlu Zhou, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 2, pp. 384-384
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Energy-efficient routing protocols for UWSNs: A comprehensive review of taxonomy, challenges, opportunities, future research directions, and machine learning perspectives
Sajid Ullah Khan, Zahid Ulalh Khan, Mohammed Alkhowaiter, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 7, pp. 102128-102128
Open Access | Times Cited: 9
Underwater acoustic target recognition method based on WA-DS decision fusion
Huan Feng, Xiao Chen, Ruiting Wang, et al.
Applied Acoustics (2024) Vol. 217, pp. 109851-109851
Closed Access | Times Cited: 7
Underwater acoustic classification using wavelet scattering transform and convolutional neural network with limited dataset
Yongxiang Liu, Biqi Zhang, Fantong Kong, et al.
Applied Acoustics (2025) Vol. 232, pp. 110564-110564
Closed Access
Efficient One-Dimensional Network Design Method for Underwater Acoustic Target Recognition
Qing Xue Huang, Xiaoyan Zhang, Anqi Jin, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 3, pp. 599-599
Open Access
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
UAPT: an underwater acoustic target recognition method based on pre-trained Transformer
Jun Tang, Enxue Ma, Yang Qu, et al.
Multimedia Systems (2025) Vol. 31, Iss. 1
Open Access
A dual-label-reversed ensemble transfer learning strategy for underwater target detection
Wugedele BAO, Qunyan Ren, Wenbo Wang, et al.
Applied Acoustics (2025) Vol. 235, pp. 110701-110701
Closed Access
Integrating Deep Learning Models into Stochastic Network Calculus for Enhanced Channel State Prediction in Underwater Acoustic Networks
M. Saravanan, Rajeev Sukumaran
Wireless Personal Communications (2025)
Closed Access
Deep-learning-based generative design for optimal reactive silencers
Byung Hun An, Jin Woo Lee
International Journal of Mechanical Sciences (2024), pp. 109736-109736
Closed Access | Times Cited: 2
Deep Learning Based Underwater Acoustic Target Recognition: Introduce a Recent Temporal 2D Modeling Method
Jun Tang, Wenbo Gao, Enxue Ma, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1633-1633
Open Access | Times Cited: 1
Automated Audio Dataset Generation Tool for Classification Tasks in Marine Science
Piotr Gnyś, Gabriela Szczęsna, Antonio C. Domínguez‐Brito, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Artificial Intelligence-Based Underwater Acoustic Target Recognition: A Survey
Sheng Feng, Shuqing Ma, Xiaoqian Zhu, et al.
Remote Sensing (2024) Vol. 16, Iss. 17, pp. 3333-3333
Open Access | Times Cited: 1
A Q-Learning-Based Approach to Design an Energy-Efficient MAC Protocol for UWSNs Through Collision Avoidance
Gang Qiao, Wazir Ur Rahman, Feng Zhou, et al.
Electronics (2024) Vol. 13, Iss. 22, pp. 4388-4388
Open Access | Times Cited: 1
Adversarial Attacks in Underwater Acoustic Target Recognition with Deep Learning Models
Sheng Feng, Xiaoqian Zhu, Shuqing Ma, et al.
Remote Sensing (2023) Vol. 15, Iss. 22, pp. 5386-5386
Open Access | Times Cited: 3
An Improved YOLOv5-Based Lightweight Submarine Target Detection Algorithm
Likun Mei, Zhili Chen
Sensors (2023) Vol. 23, Iss. 24, pp. 9699-9699
Open Access | Times Cited: 3
HIDR: A Hierarchical Independent Detection and Recognition strategy for underwater acoustic multi-target recognition
Xingui Wang, Yali Zhang, Zhongzhe Xiao, et al.
Applied Acoustics (2023) Vol. 211, pp. 109503-109503
Closed Access | Times Cited: 2
Underwater acoustic target recognition based on convolutional neural network and multi-feature fusion
Jiabao Tan, Xiang Pan
(2023), pp. 157-157
Closed Access | Times Cited: 2
Histogram Layer Time Delay Neural Networks for Passive Sonar Classification
Jarin Ritu, Ethan Barnes, Riley Martell, et al.
(2023), pp. 1-5
Open Access | Times Cited: 2
UAPT: An Underwater Acoustic Target Recognition Method Based on Pre- trained Transformer
Jun Tang, Enxue Ma, Yang Qu, et al.
Research Square (Research Square) (2024)
Open Access
Enhancing Underwater Imagery with Feature-Parallel Multi-Scale Attention and Spatially Enhanced Global Representation Transformer
Vaibhav Ingale, Manish Kumar, Dipika Gupta, et al.
(2024), pp. 1-6
Closed Access
SQnet: An Enhanced Multi-Objective Detection Algorithm in Subaquatic Environments
Yutao Zhu, Bochen Shan, Yinglong Wang, et al.
Electronics (2024) Vol. 13, Iss. 15, pp. 3053-3053
Open Access
SSL-LRN: A Lightweight Semi-Supervised-Learning-Based Approach for UWA Modulation Recognition
Chaojin Ding, Wei Su, Zehong Xu, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 8, pp. 1317-1317
Open Access
An Auditory Convolutional Neural Network for Underwater Acoustic Target Timbre Feature Extraction and Recognition
Junshuai Ni, Ji Fang, Shaoqing Lu, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 3074-3074
Open Access
DSCANet: underwater acoustic target classification using the depthwise separable convolutional attention module
Chonghua Tang, Gang Hu
Earth Science Informatics (2024)
Closed Access
A Multi-Spatial Scale Ocean Sound Speed Prediction Method Based on Deep Learning
Yü Liu, Benjun Ma, Zhiliang Qin, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 11, pp. 1943-1943
Open Access
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