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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:

A multi-sensor fused incremental broad learning with D-S theory for online fault diagnosis of rotating machinery
Xuefang Xu, Shuo Bao, Haidong Shao, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102419-102419
Closed Access | Times Cited: 15

Showing 15 citing articles:

A personalized federated meta-learning method for intelligent and privacy-preserving fault diagnosis
Xiangjie Zhang, Chuanjiang Li, Changkun Han, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102781-102781
Closed Access | Times Cited: 10
Spatial-temporal graph feature learning driven by time–frequency similarity assessment for robust fault diagnosis of rotating machinery
Lei Wang, Fuchen Xie, Xin Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102711-102711
Closed Access | Times Cited: 5
A task-oriented theil index-based meta-learning network with gradient calibration strategy for rotating machinery fault diagnosis with limited samples
Mingzhe Mu, Hongkai Jiang, Xin Wang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102870-102870
Closed Access | Times Cited: 5
Robust correlation measures for informative frequency band selection in heavy-tailed signals
Justyna Hebda-Sobkowicz, Radosław Zimroz, Anil Kumar, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103174-103174
Closed Access
Power Transformer Prognostics and Health Management Using Machine Learning: A Review and Future Directions
Ryad Zemouri
Machines (2025) Vol. 13, Iss. 2, pp. 125-125
Open Access
A Cross-Machine Intelligent Fault Diagnosis Method with Small and Imbalanced Data Based on the ResFCN Deep Transfer Learning Model
Juanru Zhao, Yuan Mei, Yiwen Cui, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1189-1189
Open Access
Enhanced deep learning framework for accurate near-failure RUL prediction of bearings in varying operating conditions
Anil Kumar, Chander Parkash, Pradeep Kundu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103231-103231
Closed Access
Diagnosis of composite faults for complex industrial machinery: A label-assisted self-supervised clustering approach
Hewei Gao, Xin Huo, Chao Zhu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112509-112509
Closed Access
An innovative study of category incremental learning algorithms for arrhythmia detection
Jianchao Feng, Yujuan Si, Yu Zhang, et al.
Knowledge-Based Systems (2025), pp. 113346-113346
Closed Access
Adaptive feature consolidation residual network for exemplar-free continuous diagnosis of rotating machinery with fault-type increments
Yan Zhang, Changqing Shen, Xingli Zhong, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102715-102715
Closed Access | Times Cited: 2
A feature extension and reconstruction method with incremental learning capabilities under limited samples for intelligent diagnosis
Kui Hu, Zhihao Bi, Qingbo He, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102796-102796
Closed Access | Times Cited: 1
A partial domain adaptation broad learning system for machinery fault diagnosis
Aisong Qin, Qin Hu, Qinghua Zhang, et al.
Measurement (2024) Vol. 243, pp. 116437-116437
Closed Access | Times Cited: 1
Weak Fault Feature Extraction of the Rotating Machinery Using Flexible Analytic Wavelet Transform and Nonlinear Quantum Permutation Entropy
Lili Bai, Wenhui Li, He Ren, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 3, pp. 4513-4531
Open Access
The application and challenges of spectral and image two-modal fusion techniques in coal gangue recognition
Xiaoyu Li, Rui Xia, Juanli Li, et al.
International Journal of Coal Preparation and Utilization (2024), pp. 1-31
Closed Access
Fault diagnosis of rolling bearings driven by multi-channel data fusion and feature fusion under time-varying speed conditions
Zonghao Jiao, Zhongwei Zhang, Y F Li, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 015125-015125
Closed Access
A multi-sensor fused incremental detection model for blade crack with cross-attention mechanism and Dempster-Shafer evidence theory
Tianchi Ma, Yuguang Fu
Advanced Engineering Informatics (2024) Vol. 62, pp. 102952-102952
Closed Access
A convolutional multisensor fusion fault diagnosis framework based on multidimensional distance matrix for rotating machinery
Tianzhuang Yu, Zeyu Jiang, Zhaohui Ren, et al.
Structural Health Monitoring (2024)
Closed Access
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