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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:

Vibration Image Representations for Fault Diagnosis of Rotating Machines: A Review
Hosameldin Ahmed, Asoke K. Nandi
Machines (2022) Vol. 10, Iss. 12, pp. 1113-1113
Open Access | Times Cited: 19

Showing 19 citing articles:

CycleGAN denoising of recurrence plots of rolling bearing vibration signals for improved fault classification
Thomas Joseph, U. Sudeep, K. Keerthi Krishnan
Journal of Mechanical Science and Technology (2025)
Closed Access
Electrical submersible pump fault diagnosis based on 2D transformation of vibration signals and transfer learning of image classification networks
Luciano Henrique Peixoto da Silva, Alexandre Rodrigues, Flávio Miguel Varejão, et al.
Neural Computing and Applications (2025)
Closed Access
Domain knowledge-informed synthetic fault sample generation with health data map for cross-domain planetary gearbox fault diagnosis
Jong Moon Ha, Olga Fink
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110680-110680
Open Access | Times Cited: 14
Convolutional-Transformer Model with Long-Range Temporal Dependencies for Bearing Fault Diagnosis Using Vibration Signals
Hosameldin Ahmed, Asoke K. Nandi
Machines (2023) Vol. 11, Iss. 7, pp. 746-746
Open Access | Times Cited: 10
On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach
Sulaiman Aburakhia, Abdallah Shami, George K. Karagiannidis
(2024)
Open Access | Times Cited: 2
Fault diagnosis of monoblock centrifugal pumps using pre-trained deep learning models and scalogram images
C. V. Prasshanth, Naveen Venkatesh Sridharan, Tapan K. Mahanta, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109022-109022
Closed Access | Times Cited: 2
Machine-Learning-Based-Approaches for Sleep Stage Classification Utilising a Combination of Physiological Signals: A Systematic Review
Haifa Almutairi, Ghulam Mubashar Hassan, Amitava Datta
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 13280-13280
Open Access | Times Cited: 5
Machine Fault Diagnosis Using EMD-Gammatone Texture Representation and A Lightweight Self-Attention SqueezeNet
Mahe Zabin, Anika Nahian Binte Kabir, Muhammad Khubayeeb Kabir, et al.
(2024), pp. 32-39
Closed Access | Times Cited: 1
Multisensory Data-Based Fault Diagnosis of Induction Motors Using 1D and 2D Convolutional Neural Networks
Samuel Ayankoso, Yinghang He, Fengshou Gu, et al.
Mechanisms and machine science (2024), pp. 1125-1135
Closed Access
Intelligent Fault Diagnosis of Bearings in Unsupervised Dynamic Domain Adaptation Networks Under Variable Conditions
Qianqian Zhang, Zhongwei Lv, Caiyun Hao, et al.
IEEE Access (2024) Vol. 12, pp. 82911-82925
Open Access
TSMDA: intelligent fault diagnosis of rolling bearing with two stage multi-source domain adaptation
Qianqian Zhang, Zhongwei Lv, Caiyun Hao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116112-116112
Closed Access
Editorial for Special Issue “10th Anniversary of Machines—Feature Papers in Fault Diagnosis and Prognosis”
Xiang Li, Jie Liu
Machines (2024) Vol. 12, Iss. 9, pp. 606-606
Open Access
Image representation of vibration signals and its application on fault diagnosis of rotating machinery with convolutional neural network: A benchmak study
J. Yuan, Qing Zhang, Jianqun Zhang, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024)
Closed Access
Design of monitoring system for material vibration screening equipment
Juan Wang, Su Chen
Vibroengineering PROCEDIA (2024) Vol. 56, pp. 8-14
Open Access
A comparative analysis of fault detection and process diagnosis methods based on a signal processing paradigm
Dorel Aiordǎchioaie
Deleted Journal (2024) Vol. 7, Iss. 1
Open Access
A comparative analysis of fault detection and process diagnosis methods based on a signal processing paradigm
Dorel Aiordǎchioaie
Research Square (Research Square) (2024)
Open Access
Performance of vibration and current signals in the fault diagnosis of induction motors using deep learning and machine learning techniques
Samuel Ayankoso, Ananta Dutta, Yinghang He, et al.
Structural Health Monitoring (2024)
Open Access
Gearbox Compound Fault Diagnosis in Edge-IoT Based on Legendre Multiwavelet Transform and Convolutional Neural Network
Xiaoyang Zheng, Lei Chen, Chengbo Yu, et al.
Sensors (2023) Vol. 23, Iss. 21, pp. 8669-8669
Open Access | Times Cited: 1
Domain knowledge-informed Synthetic fault sample generation with Health Data Map for cross-domain Planetary Gearbox Fault Diagnosis
Jong Moon Ha, Olga Fink
arXiv (Cornell University) (2023)
Open Access
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