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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:

New imbalanced fault diagnosis framework based on Cluster-MWMOTE and MFO-optimized LS-SVM using limited and complex bearing data
Jianan Wei, Haisong Huang, Liguo Yao, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 96, pp. 103966-103966
Closed Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

An improved convolutional neural network with an adaptable learning rate towards multi-signal fault diagnosis of hydraulic piston pump
Shengnan Tang, Yong Zhu, Shouqi Yuan
Advanced Engineering Informatics (2021) Vol. 50, pp. 101406-101406
Closed Access | Times Cited: 145
Intelligent fault diagnosis of rolling bearing based on wavelet transform and improved ResNet under noisy labels and environment
Pengfei Liang, Wenhui Wang, Xiaoming Yuan, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105269-105269
Closed Access | Times Cited: 142
Intelligent fault identification of hydraulic pump using deep adaptive normalized CNN and synchrosqueezed wavelet transform
Shengnan Tang, Yong Zhu, Shouqi Yuan
Reliability Engineering & System Safety (2022) Vol. 224, pp. 108560-108560
Closed Access | Times Cited: 110
Tomek Link and SMOTE Approaches for Machine Fault Classification with an Imbalanced Dataset
Elsie Fezeka Swana, Wesley Doorsamy, Pitshou N. Bokoro
Sensors (2022) Vol. 22, Iss. 9, pp. 3246-3246
Open Access | Times Cited: 100
A Review of Data-Driven Machinery Fault Diagnosis Using Machine Learning Algorithms
Jian Cen, Zhuohong Yang, Xi Liu, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 10, Iss. 7, pp. 2481-2507
Closed Access | Times Cited: 87
A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
Zhijun Ren, Tantao Lin, Ke Feng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-35
Closed Access | Times Cited: 87
GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis
Linshan Jia, Tommy W. S. Chow, Yixuan Yuan
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105794-105794
Closed Access | Times Cited: 82
Grey wolf optimizer based on Aquila exploration method
Chi Ma, Haisong Huang, Qingsong Fan, et al.
Expert Systems with Applications (2022) Vol. 205, pp. 117629-117629
Closed Access | Times Cited: 74
Rolling Bearing Fault Diagnosis Under Data Imbalance and Variable Speed Based on Adaptive Clustering Weighted Oversampling
Sai Li, Yanfeng Peng, Yiping Shen, et al.
Reliability Engineering & System Safety (2024) Vol. 244, pp. 109938-109938
Closed Access | Times Cited: 42
Red-billed blue magpie optimizer: a novel metaheuristic algorithm for 2D/3D UAV path planning and engineering design problems
Shengwei Fu, Ke Li, Haisong Huang, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 6
Open Access | Times Cited: 37
New imbalanced bearing fault diagnosis method based on Sample-characteristic Oversampling TechniquE (SCOTE) and multi-class LS-SVM
Jianan Wei, Haisong Huang, Liguo Yao, et al.
Applied Soft Computing (2020) Vol. 101, pp. 107043-107043
Closed Access | Times Cited: 118
Auxiliary Information-Guided Industrial Data Augmentation for Any-Shot Fault Learning and Diagnosis
Yue Zhuo, Zhiqiang Ge
IEEE Transactions on Industrial Informatics (2021) Vol. 17, Iss. 11, pp. 7535-7545
Closed Access | Times Cited: 77
Tacho-less sparse CNN to detect defects in rotor-bearing systems at varying speed
Anil Kumar, Govind Vashishtha, Chander Parkash, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 104, pp. 104401-104401
Closed Access | Times Cited: 61
An improved sparrow search algorithm based on quantum computations and multi-strategy enhancement
Rui Wu, Haisong Huang, Jianan Wei, et al.
Expert Systems with Applications (2022) Vol. 215, pp. 119421-119421
Closed Access | Times Cited: 58
A novel deep autoencoder and hyperparametric adaptive learning for imbalance intelligent fault diagnosis of rotating machinery
Wanxiang Li, Zhiwu Shang, Maosheng Gao, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 102, pp. 104279-104279
Closed Access | Times Cited: 55
An Investigation of SMOTE based Methods for Imbalanced Datasets with Data Complexity Analysis
Nur Athirah Azhar, Muhammad Syafiq Mohd Pozi, Aniza Mohamed Din, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Closed Access | Times Cited: 49
Multiple-signal defect identification of hydraulic pump using an adaptive normalized model and S transform
Yong Zhu, Shengnan Tang, Shouqi Yuan
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106548-106548
Closed Access | Times Cited: 39
Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids
Shadfar Davoodi, Mohammad Mehrad, David A. Wood, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106459-106459
Closed Access | Times Cited: 34
Review of resampling techniques for the treatment of imbalanced industrial data classification in equipment condition monitoring
Yage Yuan, Jianan Wei, Haisong Huang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106911-106911
Closed Access | Times Cited: 29
Navigating uncertainty: A dynamic Bayesian network-based risk assessment framework for maritime trade routes
Hanwen Fan, Haiying Jia, Xuzhuo He, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110311-110311
Closed Access | Times Cited: 11
IMWMOTE: A novel oversampling technique for fault diagnosis in heterogeneous imbalanced data
Jiaxin Wang, Jianan Wei, Haisong Huang, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123987-123987
Closed Access | Times Cited: 10
Novel imbalanced fault diagnosis method based on generative adversarial networks with balancing serial CNN and Transformer (BCTGAN)
Hualin Chen, Jianan Wei, Haisong Huang, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125171-125171
Closed Access | Times Cited: 10
A hybrid multi-criteria meta-learner based classifier for imbalanced data
Hasna Chamlal, H. Kamel, Tayeb Ouaderhman
Knowledge-Based Systems (2024) Vol. 285, pp. 111367-111367
Closed Access | Times Cited: 9
Review of research on signal decomposition and fault diagnosis of rolling bearing based on vibration signal
Junning Li, Luo Wen-guang, Mengsha Bai
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092001-092001
Closed Access | Times Cited: 9
HS-KDNet: A Lightweight Network Based on Hierarchical-Split Block and Knowledge Distillation for Fault Diagnosis With Extremely Imbalanced Data
Jin Deng, Wenjuan Jiang, Ye Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-9
Closed Access | Times Cited: 48
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