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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:

Machine learning inversion design and application verification of a broadband acoustic filtering structure
Baozhu Cheng, Mou Wang, Nansha Gao, et al.
Applied Acoustics (2021) Vol. 187, pp. 108522-108522
Closed Access | Times Cited: 21

Showing 21 citing articles:

Accelerated design of acoustic-mechanical multifunctional metamaterials via neural network
Jianbin Feng, Jing Qiao, Qishan Xu, et al.
International Journal of Mechanical Sciences (2025) Vol. 287, pp. 109920-109920
Closed Access | Times Cited: 4
AI-Based Metamaterial Design
Ece Tezsezen, Defne Yigci, Abdollah Ahmadpour, et al.
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 23, pp. 29547-29569
Open Access | Times Cited: 14
Recent Advancements in Helmholtz Resonator Based Low-Frequency Acoustic Absorbers: A Critical Review
K. Mahesh, S. Kumar Ranjith, R. S. Mini
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 4, pp. 2079-2107
Closed Access | Times Cited: 11
Deep learning approach for designing acoustic absorbing metasurfaces with high degrees of freedom
Krupali Donda, Yifan Zhu, Aurélien Merkel, et al.
Extreme Mechanics Letters (2022) Vol. 56, pp. 101879-101879
Open Access | Times Cited: 34
Application of machine learning on the design of acoustic metamaterials and phonon crystals: A review
Jianquan Chen, Jiahan Huang, Mingyi An, et al.
Smart Materials and Structures (2024) Vol. 33, Iss. 7, pp. 073001-073001
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
Inverse-designed multifunctional metamaterials for broadband acoustic absorption and ventilation
Jiahui Yan, Yingli Li, Guohui Yin, et al.
Composite Structures (2025), pp. 119106-119106
Closed Access
Bottom-up approaches for rapid on-demand design of modular metaporous structures with tailored absorption
Baorui Pan, Xiang Song, Jingjian Xu, et al.
International Journal of Mechanical Sciences (2023) Vol. 263, pp. 108784-108784
Closed Access | Times Cited: 10
Vibration transmission characteristic prediction and structure inverse design of acoustic metamaterial beams based on deep learning
Yinggang Li, Dingkang Chen, Xiaobin Li, et al.
Journal of Vibration and Control (2023) Vol. 30, Iss. 3-4, pp. 807-821
Closed Access | Times Cited: 9
Prediction of sound absorption coefficient for metaporous materials with convolutional neural networks
Haitao Yang, Hongjia Zhang, Yang Wang, et al.
Applied Acoustics (2022) Vol. 200, pp. 109052-109052
Closed Access | Times Cited: 13
A subwavelength sinusoidally-shaped phononic beam structures-based metasurface for flexural wave steering
Xuebin Zhang, Jun Zhang, Ning Hu, et al.
Applied Acoustics (2022) Vol. 194, pp. 108790-108790
Closed Access | Times Cited: 8
Deep learning-empowered moving cascaded acoustic holography for high-fidelity and high-capacity acoustic holographic reconstruction
Qin Lin, Pan Ke Wang, Feiyan Cai, et al.
Applied Acoustics (2023) Vol. 216, pp. 109768-109768
Closed Access | Times Cited: 4
Physics-informed machine learning for the inverse design of wave scattering clusters
Joshua R. Tempelman, Tobias Weidemann, Eric Flynn, et al.
Wave Motion (2024) Vol. 130, pp. 103371-103371
Open Access | Times Cited: 1
Inverse design of multi-band acoustic topology insulator based on deep learning
Yao Qin, Xinxin Li, Guangchen He, et al.
AIP Advances (2023) Vol. 13, Iss. 5
Open Access | Times Cited: 2
A Machine-Learning-Based Method to Accelerate the Design of SAW Filters at Different Frequency Bands
Xuanying Hou, Haojie Hu, Li‐Ye Xiao, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 16, pp. 26971-26981
Closed Access
Optimization and imputation of acoustic absorption sequence prediction for transversely isotropic porous materials: A MultiScaleCNN-Transformer-PSO model approach
Lei Diao, Tao Meng, Feifei Feng
Measurement (2024) Vol. 242, pp. 116098-116098
Closed Access
Broadband low-frequency sound-absorbing metastructure based on an impedance-matching coiled-up cavity with continuously variable cross section
Yiyang Liu, Xiangyang Zeng, Shu‐Wei Ren, et al.
Journal of Applied Physics (2023) Vol. 134, Iss. 8
Closed Access | Times Cited: 1
Machine Learning Methods for Temperature Prediction of Autonomous Underwater Vehicles’ Battery Pack
Bo Li, Mou Wang, Zhaoyong Mao, et al.
Lecture notes in electrical engineering (2023), pp. 3204-3215
Closed Access
Deep learning algorithms for design of periodic structures and dispersion curves calculation
Kseniia Barashok, I Boris, Jaesun Lee
Research and Review Journal of Nondestructive Testing (2023) Vol. 1, Iss. 1
Open Access
基于基尼不纯度结构优化物理引导神经网络的薄膜型声学超材料传声损失预测
Xinrong Pan, Xuewen Liu, Bo Zhu, et al.
Journal of Shanghai Jiaotong University (Science) (2023)
Closed Access
Data-driven approach for prediction of band diagram of locally resonant sonic crystal
R Karthik, Sreeram Barathula, K. Srinivasan
Journal of Physics D Applied Physics (2023) Vol. 57, Iss. 13, pp. 135307-135307
Closed Access
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