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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 learning-based prediction and interpretability of physical phenomena for metaporous materials
Soo Young Lee, Jihun Lee, Joong Seok Lee, et al.
Materials Today Physics (2022) Vol. 30, pp. 100946-100946
Closed Access | Times Cited: 10

Showing 10 citing articles:

Sound absorption characteristics of the metamaterial with stochastic parameters
Wenzhuo Zhang, Yonghui Zhao
International Journal of Mechanical Sciences (2025) Vol. 287, pp. 109929-109929
Closed Access | Times Cited: 3
Accelerated multiscale mechanics modeling in a deep learning framework
Ashwini Gupta, Anindya Bhaduri, Lori Graham‐Brady
Mechanics of Materials (2023) Vol. 184, pp. 104709-104709
Open Access | Times Cited: 32
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 10
Metamaterial-based absorbers for simultaneous absorption of air-borne sound and structural vibration
Siqi Xu, Ping Sun, Xiaole Wang, et al.
International Journal of Mechanical Sciences (2023) Vol. 265, pp. 108915-108915
Closed Access | Times Cited: 16
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: 13
An Artificial Intelligence Approach to Evaluating the Sound Absorption Performance of Materials: A Systematic Review
Oya Babacan
Düzce Üniversitesi Bilim ve Teknoloji Dergisi (2025) Vol. 13, Iss. 2, pp. 718-734
Open Access
Comparative analysis of machine learning algorithms on prediction of the sound absorption coefficient for reconfigurable acoustic meta-absorbers
Sanjay Kumar, Hoontae Jin, Kian Meng Lim, et al.
Applied Acoustics (2023) Vol. 212, pp. 109603-109603
Closed Access | Times Cited: 7
Design and manufacture of low-frequency acoustic absorption metamaterials with enhanced coupling characteristic
Xin Yan, Qingxuan Liang, Jiaming Feng, et al.
Virtual and Physical Prototyping (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 2
Sugar maple (Acer saccharum) waste leaves as a renewable resource for sound absorption: An eco-conscious approach
Haradhan Kolya, Chun–Won Kang
Journal of environmental chemical engineering (2023) Vol. 12, Iss. 1, pp. 111665-111665
Closed Access | Times Cited: 4
Metamaterial-Based Absorbers for Simultaneous Absorption of Air-Borne Sound and Structural Vibration
Siqi Xu, Ping Sun, Xiaole Wang, et al.
(2023)
Closed Access | Times Cited: 1
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