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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:

An Elastic Expandable Fault Diagnosis Method of Three-Phase Motors Using Continual Learning for Class-Added Sample Accumulations
Ao Ding, Yong Qin, Biao Wang, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 7, pp. 7896-7905
Closed Access | Times Cited: 15

Showing 15 citing articles:

Evolvable graph neural network for system-level incremental fault diagnosis of train transmission systems
Ao Ding, Yong Qin, Biao Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111175-111175
Closed Access | Times Cited: 19
Prognostics and health management for predictive maintenance: A review
Chao Huang, Siqi Bu, Hiu Hung Lee, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 78-101
Closed Access | Times Cited: 12
Comprehensive Diagnosis of Localized Rolling Bearing Faults during Rotating Machine Start-Up via Vibration Envelope Analysis
José E. Ruiz-Sarrió, Jose A. Antonino‐Daviu, Claudia Marțiș
Electronics (2024) Vol. 13, Iss. 2, pp. 375-375
Open Access | Times Cited: 8
Few-Shot Class-Incremental Learning with Adjustable Pseudo-Incremental Sessions for Bearing Fault Diagnosis
Hongyan Zhu, Changqing Shen, Jiaan Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 12, pp. 19543-19552
Closed Access | Times Cited: 8
Thermal Image and Inverter Data Analysis for Fault Detection and Diagnosis of PV Systems
Özge Baltacı, Zeki Kıral, Konuralp Dalkılınç, et al.
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3671-3671
Open Access | Times Cited: 4
A relationship-aware calibrated prototypical network for fault incremental diagnosis of electric motors without reserved samples
Ke Yue, Jipu Li, Shuhan Deng, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110429-110429
Closed Access | Times Cited: 4
Intelligent Bearing Anomaly Detection for Industrial Internet of Things Based on Auto-Encoder Wasserstein Generative Adversarial Network
Ruonan Liu, Xiao Dong, Di Lin, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22869-22879
Closed Access | Times Cited: 3
A core space gradient projection-based continual learning framework for remaining useful life prediction of machinery under variable operating conditions
Xiangyu Ren, Yong Qin, Bin Li, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110428-110428
Closed Access | Times Cited: 3
Self-driven continual learning for class-added motor fault diagnosis based on unseen fault detector and propensity distillation
Ao Ding, Xiaojian Yi, Yong Qin, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107382-107382
Closed Access | Times Cited: 10
A Bidirectional Long Short-Term Memory Autoencoder Transformer for Remaining Useful Life Estimation
Zhengyang Fan, Wanru Li, Kuo‐Chu Chang
Mathematics (2023) Vol. 11, Iss. 24, pp. 4972-4972
Open Access | Times Cited: 8
Enhancing Diabetic Retinopathy Detection Using Pixel Color Amplification and EfficientNetV2: A Novel Approach for Early Disease Identification
Yi-Hsuan Kao, Chun‐Ling Lin
Electronics (2024) Vol. 13, Iss. 11, pp. 2070-2070
Open Access | Times Cited: 2
Fault Diagnosis of Oil-Immersed Transformers Based on the Improved Neighborhood Rough Set and Deep Belief Network
Xiaoyang Miao, Hongda Quan, Xiawei Cheng, et al.
Electronics (2023) Vol. 13, Iss. 1, pp. 5-5
Open Access | Times Cited: 3
The Prediction of the Remaining Useful Life of Rotating Machinery Based on an Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution and a Convolutional LSTM Autoencoder
Yangde Gao, Zahoor Ahmad, Jong-Myon Kim
Sensors (2024) Vol. 24, Iss. 8, pp. 2382-2382
Open Access
Evaluation of Entropy Analysis as a Fault-Related Feature for Detecting Faults in Induction Motors and Their Kinematic Chain
Arturo Yosimar Jaen-Cuéllar, Juan José Saucedo-Dorantes, David A. Elvira-Ortiz, et al.
Electronics (2024) Vol. 13, Iss. 8, pp. 1524-1524
Open Access
A Continual Learning Approach for Failure Prediction Under Non-Stationary Conditions: Application to Condition Monitoring Data Streams
Mohamed Amin Benatia, Meriem Hafsi, Safa Ben Ayed
(2024)
Closed Access
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