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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:

Multi-Sensor Fault Diagnosis for Misalignment and Unbalance Detection Using Machine Learning
Tauheed Mian, Anurag Choudhary, Shahab Fatima
IEEE Transactions on Industry Applications (2023) Vol. 59, Iss. 5, pp. 5749-5759
Closed Access | Times Cited: 23

Showing 23 citing articles:

Observer-Based Event-Triggered Adaptive Fuzzy Hierarchical Sliding Mode Fault-Tolerant Control for Uncertain Under-Actuated Nonlinear Systems
Shuai Yue, Ning Xu, Liang Zhang, et al.
International Journal of Fuzzy Systems (2024)
Closed Access | Times Cited: 22
A Finite Element Model of an Electric Motor with an Unbalanced Rotor for Vibration Data Generation
Hyun-Seung Lee, Seho Son, Dayeon Jeong, et al.
International Journal of Precision Engineering and Manufacturing-Smart Technology (2024) Vol. 2, Iss. 1, pp. 47-56
Open Access | Times Cited: 5
A Noise Invariant Method for Bearing Fault Detection and Diagnosis Using Adapted Local Binary Pattern (ALBP) and Short-Time Fourier Transform (STFT)
Hosna Geraei, Edgar Armando Vazquez Rodriguez, Ehsan Majma, et al.
IEEE Access (2024) Vol. 12, pp. 107247-107260
Open Access | Times Cited: 5
Multi-sensor bearing fault diagnosis based on evidential neural network with sensor weights and reliability
Peng Han, Zhiqiu Huang, Weiwei Li, et al.
Expert Systems with Applications (2025), pp. 126533-126533
Closed Access
Significance of multi-level fusion in multi-component fault diagnosis under speed varying condition in rotational machinery
M. Saimurugan, S. Sowmya, Immanuel Edinbarough
FME Transaction (2025) Vol. 53, Iss. 1, pp. 15-30
Open Access
Gradient-based image generation for thermographic material inspection
Valentino Razza, Luca Santoro, Manuela De Maddis
Applied Thermal Engineering (2025), pp. 125900-125900
Closed Access
A Rocket Payload Demonstrator for Real-Time Fault Detection of Pressure Sensors Based on Redundancy and Machine Learning
Vincenzo Tirolese, Alessandro Donadi, Federico Disarò, et al.
Lecture notes in electrical engineering (2025), pp. 148-155
Closed Access
A Comprehensive 3-Steps Methodology for Vibration-based Fault Detection, Diagnosis and Localization in Rotating Machines
Khalid M. Almutairi, Jyoti K. Sinha
Journal of Dynamics Monitoring and Diagnostics (2024)
Open Access | Times Cited: 4
A Rotating Machinery Fault Diagnosis Method Based on Dynamic Graph Convolution Network and Hard Threshold Denoising
Qiting Zhou, Longxian Xue, Jie He, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 4887-4887
Open Access | Times Cited: 3
Rolling Bearing Composite Fault Diagnosis Method Based on Convolutional Neural Network
Song Chen, D.L. Guo, Li-ai Chen, et al.
International Journal of Pattern Recognition and Artificial Intelligence (2024) Vol. 38, Iss. 03
Closed Access | Times Cited: 2
A Novel Curve Clustering Method in Modal Decomposition for Amplitude Estimation of Period-Decreasing Signals in Brake Rotors
Siyang Gao, Yifei Jiang, Bangcheng Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 1
Partial Transfer Learning Method Based on Inter-Class Feature Transfer for Rolling Bearing Fault Diagnosis
Hongbo Que, Xuyan Liu, Siqin Jin, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5165-5165
Open Access | Times Cited: 1
Role and Significance of Defect Detection Methods for Rotating Machines: An Explicit Literature Review
Ekta Yadav, V.K. Chawla
Journal of The Institution of Engineers (India) Series C (2024) Vol. 105, Iss. 5, pp. 1293-1310
Closed Access | Times Cited: 1
A deep learning approach for health monitoring in rotating machineries using vibrations and thermal features
Pauline Ong, Anelka John Koshy, Kee Huong Lai, et al.
Decision Analytics Journal (2024) Vol. 10, pp. 100399-100399
Open Access | Times Cited: 1
Model and Algorithm for a Rotor-Bearing System Considering Journal Misalignment
Zhiming Zhao, Junjie Ma, Qi Liu, et al.
Coatings (2023) Vol. 14, Iss. 1, pp. 48-48
Open Access | Times Cited: 3
Fault diagnosis method for Small modular reactor based on transfer learning and an improved DCNN model
Jie Ma, Peng Qiao, Gang Zhou, et al.
Nuclear Engineering and Design (2023) Vol. 417, pp. 112859-112859
Open Access | Times Cited: 3
Uncertainty‐aware nuclear power turbine vibration fault diagnosis method integrating machine learning and heuristic algorithm
Ruirui Zhong, Yixiong Feng, Puyan Li, et al.
IET Collaborative Intelligent Manufacturing (2024) Vol. 6, Iss. 3
Open Access
Performance degradation assessment of rolling bearing under vibration signal monitoring based on optimized variational mode decomposition and improved fuzzy support vector data description
Chaoqun Hu, Zhe Chen, Yonghua Li, et al.
Journal of Applied Physics (2024) Vol. 135, Iss. 22
Open Access
Fault Diagnosis of Ball Bearing Using Low-Cost Edge Device and Deep Learning
Tauheed Mian, Anurag Choudhary, Shahab Fatima
Lecture notes in mechanical engineering (2024), pp. 435-444
Closed Access
Learnable Topology Enhanced Heterogeneous Network for Unbalanced Cross-Domain Fault Diagnosis
Zixu Chen, Wennian Yu, Qing Ni, et al.
(2024) Vol. 16, pp. 1-7
Closed Access
Application of FCEEMD-TSMFDE and adaptive CatBoost in fault diagnosis of complex variable condition bearings
Min Mao, Bingwei Xu, Yuhuan Sun, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Innovation of control technology for smart fuzes: precise detonation and efficient damage via a ternary cascade controller
Peng Liu, Jian Li, Hang Yu, et al.
Frontiers in Physics (2024) Vol. 11
Open Access
A hybrid multi-measure and improved UMAP approach for train traction motor bearing protection state assessment
S. Liu, Yi Liu, Longjiang Shen, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116119-116119
Closed Access
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