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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:

Research on an enhanced scale morphological-hat product filtering in incipient fault detection of rolling element bearings
Xiaoan Yan, Ying Liu, Minping Jia
Measurement (2019) Vol. 147, pp. 106856-106856
Closed Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Fault detection of wind turbine based on SCADA data analysis using CNN and LSTM with attention mechanism
Ling Xiang, Penghe Wang, Xin Yang, et al.
Measurement (2021) Vol. 175, pp. 109094-109094
Closed Access | Times Cited: 268
Rolling bearing fault diagnosis using generalized refined composite multiscale sample entropy and optimized support vector machine
Zhenya Wang, Ligang Yao, Yongwu Cai
Measurement (2020) Vol. 156, pp. 107574-107574
Closed Access | Times Cited: 198
A new fault diagnosis method based on adaptive spectrum mode extraction
Zhijian Wang, Ningning Yang, Naipeng Li, et al.
Structural Health Monitoring (2021) Vol. 20, Iss. 6, pp. 3354-3370
Closed Access | Times Cited: 103
Vibration signal-based early fault prognosis: Status quo and applications
Yaqiong Lv, Wenqin Zhao, Zhiyao Zhao, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101609-101609
Closed Access | Times Cited: 80
Optimization of VMD using kernel-based mutual information for the extraction of weak features to detect bearing defects
Anil Kumar, Yuqing Zhou, Jiawei Xiang
Measurement (2020) Vol. 168, pp. 108402-108402
Closed Access | Times Cited: 108
An adversarial denoising convolutional neural network for fault diagnosis of rotating machinery under noisy environment and limited sample size case
Lei Zou, Yang Li, Feiyun Xu
Neurocomputing (2020) Vol. 407, pp. 105-120
Closed Access | Times Cited: 81
A novel based-performance degradation indicator RUL prediction model and its application in rolling bearing
Chuangyan Yang, Jun Ma, Xiaodong Wang, et al.
ISA Transactions (2021) Vol. 121, pp. 349-364
Closed Access | Times Cited: 75
A performance enhanced time-varying morphological filtering method for bearing fault diagnosis
Bingyan Chen, Dongli Song, Weihua Zhang, et al.
Measurement (2021) Vol. 176, pp. 109163-109163
Closed Access | Times Cited: 57
Bearing fault diagnosis based on combined multi-scale weighted entropy morphological filtering and bi-LSTM
Fengqian Zou, Haifeng Zhang, Shengtian Sang, et al.
Applied Intelligence (2021) Vol. 51, Iss. 10, pp. 6647-6664
Closed Access | Times Cited: 55
Blind deconvolution assisted with periodicity detection techniques and its application to bearing fault feature enhancement
Bingyan Chen, Weihua Zhang, Dongli Song, et al.
Measurement (2020) Vol. 159, pp. 107804-107804
Closed Access | Times Cited: 54
Rolling bearing fault diagnosis utilizing variational mode decomposition based fractal dimension estimation method
Zhang Yunqiang, Guoquan Ren, Dinghai Wu, et al.
Measurement (2021) Vol. 181, pp. 109614-109614
Closed Access | Times Cited: 53
Multi-stage fault diagnosis framework for rolling bearing based on OHF Elman AdaBoost-Bagging algorithm
Tangbin Xia, Pengcheng Zhuo, Lei Xiao, et al.
Neurocomputing (2020) Vol. 433, pp. 237-251
Closed Access | Times Cited: 50
Attention Mechanisms in CNN-Based Single Image Super-Resolution: A Brief Review and a New Perspective
Hongyu Zhu, Chao Xie, Yeqi Fei, et al.
Electronics (2021) Vol. 10, Iss. 10, pp. 1187-1187
Open Access | Times Cited: 46
Enabling accurate detection and localization of bearing faults under noise and vibration
Wei Zhang, Hong Lü, Yongquan Zhang, et al.
Applied Acoustics (2025) Vol. 233, pp. 110528-110528
Closed Access
Predictive machine health monitoring using deep convolution neural network for noisy vibration signal of rotating machine using empirical mode decomposition
R. Pavithra, Prakash Ramachandran
Deleted Journal (2025) Vol. 7, Iss. 4
Open Access
Research on a Novel Improved Adaptive Variational Mode Decomposition Method in Rotor Fault Diagnosis
Xiaoan Yan, Ying Liu, Wan Zhang, et al.
Applied Sciences (2020) Vol. 10, Iss. 5, pp. 1696-1696
Open Access | Times Cited: 44
A new approach to health condition identification of rolling bearing using hierarchical dispersion entropy and improved Laplacian score
Xiaoan Yan, Ying Liu, Dongsheng Huang, et al.
Structural Health Monitoring (2020) Vol. 20, Iss. 3, pp. 1169-1195
Closed Access | Times Cited: 42
A novel hybrid method based on KELM with SAPSO for fault diagnosis of rolling bearing under variable operating conditions
Hao Su, Ling Xiang, Aijun Hu, et al.
Measurement (2021) Vol. 177, pp. 109276-109276
Closed Access | Times Cited: 34
DARTS-based morphological neural network design and application in bearing fault diagnosis
Sitian Peng, Jingwen Jiang, Qiaofeng Ou, et al.
Measurement (2024) Vol. 234, pp. 114805-114805
Closed Access | Times Cited: 4
FDS-MOMEDA: Optimization-Blind Deconvolution in Finite High-Dimensional Spaces for Extracting Pulse Signal in Rolling Bearing Fault Diagnosis
Meng Zhang
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086140-086140
Open Access | Times Cited: 4
Variable scale-convex-peak method for weak signal detection
Ruilan Tian, ZhiJie Zhao, Yong Xu
Science China Technological Sciences (2020) Vol. 64, Iss. 2, pp. 331-340
Closed Access | Times Cited: 35
Adaptive Morphological Analysis Method and Its Application for Bearing Fault Diagnosis
Rongkai Duan, Yuhe Liao, Shuo Wang
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-10
Closed Access | Times Cited: 28
Multiscale Weighted Morphological Network Based Feature Learning of Vibration Signals for Machinery Fault Diagnosis
Zhuang Ye, Jianbo Yu
IEEE/ASME Transactions on Mechatronics (2021) Vol. 27, Iss. 3, pp. 1692-1703
Closed Access | Times Cited: 27
Maximum average impulse energy ratio deconvolution and its application for periodic fault impulses enhancement of rolling bearing
Jinxi Wang, Faye Zhang, Lei Zhang, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101721-101721
Closed Access | Times Cited: 20
Selective weighted multi-scale morphological filter for fault feature extraction of rolling bearings
Jianbo Yu, Chaoang Xiao, Tianzhong Hu, et al.
ISA Transactions (2022) Vol. 132, pp. 544-556
Open Access | Times Cited: 19
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