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:

DRW-AE: A Deep Recurrent-Wavelet Autoencoder for Underwater Target Recognition
Mohammad Khishe
IEEE Journal of Oceanic Engineering (2022) Vol. 47, Iss. 4, pp. 1083-1098
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Stretchable-thickness model for dynamic responses of graphene origami reinforced badminton sport plate
Wenwen Wang, Jianhua Zhang, Mostafa Habibi, et al.
Mechanics of Advanced Materials and Structures (2024), pp. 1-13
Closed Access | Times Cited: 20

Application of a folded nanostructure reinforcement for the pole vault curved shell
Song Zhi-qiang, Li Aiyun, Zhao Daichang, et al.
Mechanics of Advanced Materials and Structures (2024), pp. 1-15
Closed Access | Times Cited: 19

Investigations of the Formation Mechanism and Pressure Pulsation Characteristics of Pipeline Gas-Liquid Slug Flows
Gaoan Zheng, Pu Xu, Lin Li, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 4, pp. 590-590
Open Access | Times Cited: 18

Bending-based solution methodology using eigenvalue-eigenvector approach for analysis of foldable reinforced Golf Clubs cylindrical shell
Jingxian Huang, Zhidao Pan, Sheng Yang, et al.
Mechanics of Advanced Materials and Structures (2024), pp. 1-14
Closed Access | Times Cited: 16

Study on the Hydrodynamic Evolution Mechanism and Drift Flow Patterns of Pipeline Gas–Liquid Flow
Yan Qing, Donghui Li, Kefu Wang, et al.
Processes (2024) Vol. 12, Iss. 4, pp. 695-695
Open Access | Times Cited: 14

Cross-Domain Contrastive Learning-Based Few-Shot Underwater Acoustic Target Recognition
Xiaodong Cui, Zhuofan He, Yangtao Xue, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 2, pp. 264-264
Open Access | Times Cited: 6

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

Underwater acoustic target recognition based on sub-band concatenated Mel spectrogram and multidomain attention mechanism
Shuang Yang, Anqi Jin, Xiangyang Zeng, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 107983-107983
Closed Access | Times Cited: 6

Enhancing underwater target localization through proximity-driven recurrent neural networks
Sathish Kumar, Ravikumar Chinthaginjala, C. Dhanamjayulu, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28725-e28725
Open Access | Times Cited: 6

Advances and applications of machine learning in underwater acoustics
Haiqiang Niu, Xiaolei Li, Yonglin Zhang, et al.
Intelligent Marine Technology and Systems (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 13

Enhancing Underwater Acoustic Target Recognition Through Advanced Feature Fusion and Deep Learning
Yunyun Zhao, Guohao Xie, Haoyu Chen, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 2, pp. 278-278
Open 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

Reducing Ambient Noise Diffusion Model for Underwater Acoustic Target
Yunqi Zhang, Jianwei Hao, Qunfeng Zeng
Neural Networks (2025), pp. 107470-107470
Closed Access

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

Underwater acoustic target recognition based on Hilbert–Huang transform and data augmentation
Qihai Yao, Yong Wang, Yixin Yang
IEEE Transactions on Aerospace and Electronic Systems (2024) Vol. 60, Iss. 5, pp. 7336-7353
Closed Access | Times Cited: 3

A Contrastive-Learning-Based Method for the Few-Shot Identification of Ship-Radiated Noises
Leixin Nie, Chao Li, Haibin Wang, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 4, pp. 782-782
Open Access | Times Cited: 7

Research on a Feature Enhancement Extraction Method for Underwater Targets Based on Deep Autoencoder Networks
Ji Fang, Guonan Li, Shaoqing Lu, et al.
Applied Sciences (2024) Vol. 14, Iss. 4, pp. 1341-1341
Open Access | Times Cited: 2

A numerical aproach todispersion-dissipation-reaction model: third orderKdV-Burger-Fisher equation
Alaattin Esen, Berat Karaağaç, Nuri Murat Yağmurlu, et al.
Physica Scripta (2024) Vol. 99, Iss. 8, pp. 085260-085260
Closed Access | Times Cited: 2

Self-Noise Cancellation in Underwater Acoustics Using Deep Neural Network-Based Eigencomponent Transformation
Pawan Kumar, Karan Nathwani
IEEE Sensors Letters (2023) Vol. 7, Iss. 11, pp. 1-4
Closed Access | Times Cited: 5

Underwater acoustic target recognition based on knowledge distillation under working conditions mismatching
Shuang Yang, Anqi Jin, Xiangyang Zeng, et al.
Multimedia Systems (2024) Vol. 30, Iss. 1
Closed Access | Times Cited: 1

DWSTr: a hybrid framework for ship-radiated noise recognition
Yan Wang, Hao Zhang, Wei Huang, et al.
Frontiers in Marine Science (2024) Vol. 11
Open Access | Times Cited: 1

Enhancing Earth data analysis in 5G satellite networks: A novel lightweight approach integrating improved deep learning
Yukun Yang, Kun Ren, Jiong Song
Heliyon (2024) Vol. 10, Iss. 11, pp. e32071-e32071
Open Access | Times Cited: 1

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

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