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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-Based Fault Diagnosis of Broken Impeller and Mechanical Seal Failure in Industrial Mono-Block Centrifugal Pumps Using Deep Convolutional Neural Network
S Manikandan, K Duraivelu
Journal of Vibration Engineering & Technologies (2022) Vol. 11, Iss. 1, pp. 141-152
Closed Access | Times Cited: 22

Showing 22 citing articles:

Deep Learning for Enhanced Fault Diagnosis of Monoblock Centrifugal Pumps: Spectrogram-Based Analysis
Prasshanth Chennai Viswanathan, Naveen Venkatesh Sridharan, Seshathiri Dhanasekaran, et al.
Machines (2023) Vol. 11, Iss. 9, pp. 874-874
Open Access | Times Cited: 41
A light deep adaptive framework toward fault diagnosis of a hydraulic piston pump
Shengnan Tang, Boo Cheong Khoo, Yong Zhu, et al.
Applied Acoustics (2024) Vol. 217, pp. 109807-109807
Closed Access | Times Cited: 27
A two-level adaptive chirp mode decomposition and tangent entropy in estimation of single-valued neutrosophic cross-entropy for detecting impeller defects in centrifugal pump
Govind Vashishtha, Sumika Chauhan, Nitin Yadav, et al.
Applied Acoustics (2022) Vol. 197, pp. 108905-108905
Closed Access | Times Cited: 43
Machine learning for fault analysis in rotating machinery: A comprehensive review
Oğuzhan Daş, Duygu Bağcı Daş, Derya Birant
Heliyon (2023) Vol. 9, Iss. 6, pp. e17584-e17584
Open Access | Times Cited: 29
A roadmap to fault diagnosis of industrial machines via machine learning: A brief review
Govind Vashishtha, Sumika Chauhan, Mert Sehri, et al.
Measurement (2024) Vol. 242, pp. 116216-116216
Closed Access | Times Cited: 10
Fault Diagnosis in Centrifugal Pumps: A Dual-Scalogram Approach with Convolution Autoencoder and Artificial Neural Network
Wasim Zaman, Zahoor Ahmad, Jong-Myon Kim
Sensors (2024) Vol. 24, Iss. 3, pp. 851-851
Open Access | Times Cited: 8
Cloud-based AIoT intelligent infrastructure for firefighting pump fault diagnosis-based hybrid CNN-GRU deep learning technique
Da-Thao Nguyen, Phuong Nguyen Thanh, Ming-Yuan Cho
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Closed Access
Review of fault modes and failure diagnosis methods for magnetic-driving pump
Hui Sun, Kang Hu, Qiaorui Si, et al.
Structural Health Monitoring (2025)
Closed Access
Cavitation diagnosis method of centrifugal pump based on characteristic frequency and kurtosis
Yan Liu, Denghao Wu, Minghao Fei, et al.
AIP Advances (2024) Vol. 14, Iss. 2
Open Access | Times Cited: 3
Domain adversarial transfer fault diagnosis method of an axial piston pump based on a multi-scale attention mechanism
Zhikui Dong, Huijiang An, Siyuan Liu, et al.
Measurement (2024) Vol. 239, pp. 115455-115455
Open Access | Times Cited: 2
Extremely Low-Speed Bearing Fault Diagnosis Based on Raw Signal Fusion and DE-1D-CNN Network
Mohd Syahril Ramadhan Mohd Saufi, M. Firdaus Isham, Mat Hussin Ab Talib, et al.
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 4, pp. 5935-5951
Closed Access | Times Cited: 5
Extremely imbalanced data intelligent fault diagnosis of rotating impeller with improved denoising diffusion probabilistic models
Zeyu Jiang, Zhaohui Ren, Yongchao Zhang, et al.
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture (2024)
Closed Access | Times Cited: 1
An Expert Condition Monitoring System via Fusion of Signal Processing for Vibration of Industrial Rotating Machinery with Unseen Operational Conditions
Milad Zarchi, Majid Shahgholi
Journal of Vibration Engineering & Technologies (2022) Vol. 11, Iss. 5, pp. 2267-2295
Closed Access | Times Cited: 4
Artificial Intelligence-Driven Prognostics and Health Management for Centrifugal Pumps: A Comprehensive Review
Salman Khalid, Soo-Ho Jo, Syed Saqlain Shah, et al.
Actuators (2024) Vol. 13, Iss. 12, pp. 514-514
Open Access
Hybrid Deep Learning Model for Fault Diagnosis in Centrifugal Pumps: A Comparative Study of VGG16, ResNet50, and Wavelet Coherence Analysis
Wasim Zaman, Muhammad Siddique, Saif Ullah, et al.
Machines (2024) Vol. 12, Iss. 12, pp. 905-905
Open Access
Fault diagnosis study of mine drainage pump based on MED–WPD and RBFNN
Xiankang Huang, Xiangfan Wu, Zuzhi Tian, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 7
Closed Access | Times Cited: 1
Centrifugal Pump Fault Diagnosis using a Predictive Maintenance Model
Marialuisa Menanno, Anita Salsano
(2023)
Open Access | Times Cited: 1
Analysis of mechanical characteristics and normal operating conditions of magnetic seals
Ke Feng Li, Hua Su, Weiwei Hao, et al.
Journal of Magnetism and Magnetic Materials (2023) Vol. 588, pp. 171494-171494
Closed Access | Times Cited: 1
Application of Deep Neural Networks for the Parameter Identifications of Lumped and Distributed Parameter Models Under Severe Noises and Various Initial Values
Byoung-Gyu Song, Namcheol Kang
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 3, pp. 3641-3652
Closed Access
VIBRATION BASED PREDICTIVE FAULT ANALYSIS OF BEARING SEAL FAILURE AND CAVITATION ON INDUSTRIAL MONOBLOCK CENTRIFUGAL PUMP USING DEEP LEARNING ALGORITHM
S Manikandan, K Duraivelu
Jurnal Teknologi (2023) Vol. 85, Iss. 5, pp. 151-162
Open Access
Circulation pump bearing fault diagnosis research based on BAM-CNN model and CWT processing time-frequency map
Lei Zheng, Hui Yi
2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS) (2023), pp. 1-7
Closed Access
A Technique for Centrifugal Pump Fault Detection and Identification Based on a Novel Fault-Specific Mann–Whitney Test
Zahoor Ahmad, Jae‐Young Kim, Jong-Myon Kim
Sensors (2023) Vol. 23, Iss. 22, pp. 9090-9090
Open Access
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