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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 Fracture Mode Determination in Composite Laminates
Muhammad Muzammil Azad, Atta ur Rehman Shah, M. Prabhakar, et al.
Journal of the Computational Structural Engineering Institute of Korea (2024) Vol. 37, Iss. 4, pp. 225-232
Closed Access | Times Cited: 10

Showing 10 citing articles:

An explainable artificial intelligence‐based approach for reliable damage detection in polymer composite structures using deep learning
Muhammad Muzammil Azad, Heung Soo Kim
Polymer Composites (2024)
Open Access | Times Cited: 6
Deep learning-based autonomous morphological fracture analysis of fiber-reinforced composites
Muhammad Muzammil Azad, Atta ur Rehman Shah, M. Prabhakar, et al.
Engineering Failure Analysis (2025), pp. 109292-109292
Closed Access
A Generalized Autonomous Power Plant Fault Detection Model Using Deep Feature Extraction and Ensemble Machine Learning
Salman Khalid, Muhammad Muzammil Azad, Heung Soo Kim
Mathematics (2025) Vol. 13, Iss. 3, pp. 342-342
Open Access
A Hybrid Deep Transfer Learning Framework for Delamination Identification in Composite Laminates
Muhammad Haris Yazdani, Muhammad Muzammil Azad, Salman Khalid, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 826-826
Open Access
In-situ piezoelectric sensors for structural health monitoring with machine learning integration
Rogers K. Langat, Weikun Deng, Emmanuel De Luycker, et al.
Mechatronics (2025) Vol. 106, pp. 103297-103297
Open Access
Failure modes and non-destructive testing techniques for fiber-reinforced polymer composites
Muhammad Muzammil Azad, Jaehyun Jung, Muhammad Umar Elahi, et al.
Journal of Materials Research and Technology (2024)
Open Access | Times Cited: 2
Damage Localization and Severity Assessment in Composite Structures Using Deep Learning Based on Lamb Waves
Muhammad Muzammil Azad, Olivier Munyaneza, Jaehyun Jung, et al.
Sensors (2024) Vol. 24, Iss. 24, pp. 8057-8057
Open Access | Times Cited: 2
Advancements in Physics-Informed Neural Networks for Laminated Composites: A Comprehensive Review
Salman Khalid, Muhammad Haris Yazdani, Muhammad Muzammil Azad, et al.
Mathematics (2024) Vol. 13, Iss. 1, pp. 17-17
Open Access | Times Cited: 1
Deep Learning-Based Microscopic Damage Assessment of Fiber-Reinforced Polymer Composites
Muhammad Muzammil Azad, Atta ur Rehman Shah, M. N. Prabhakar, et al.
Materials (2024) Vol. 17, Iss. 21, pp. 5265-5265
Open Access
Noise robust damage detection of laminated composites using multichannel wavelet-enhanced deep learning model
Muhammad Muzammil Azad, Heung Soo Kim
Engineering Structures (2024) Vol. 322, pp. 119192-119192
Closed Access
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