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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:

Robust fault diagnosis of rolling bearings via entropy-weighted nuisance attribute projection and neural network under various operating conditions
Di Yang, Yong Lv, Rui Yuan, et al.
Structural Health Monitoring (2022) Vol. 21, Iss. 6, pp. 2890-2909
Closed Access | Times Cited: 19

Showing 19 citing articles:

CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery
Yadong Xu, Ke Feng, Xiaoan Yan, et al.
Information Fusion (2023) Vol. 95, pp. 1-16
Closed Access | Times Cited: 99
A novel intelligent multicross domain fault diagnosis of servo motor-bearing system based on Domain Generalized Graph Convolution Autoencoder
Xiaoli Zhao, Yuanhao Hu, Jiahui Liu, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 7
Fault diagnosis of planetary gears based on intrinsic feature extraction and deep transfer learning
Huan Li, Yong Lv, Rui Yuan, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 1, pp. 014009-014009
Closed Access | Times Cited: 26
A novel fault diagnosis approach of rolling bearing using intrinsic feature extraction and CBAM-enhanced InceptionNet
Shijie Xu, Rui Yuan, Yong Lv, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105111-105111
Closed Access | Times Cited: 13
An innovative data-driven quantitative prediction method aiming at base groundwater intrusion risk under extra-thick coal seam mining and its practical application
Hao Zhan, Shouqiang Liu, Bo Wu, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access
Tool Wear State Identification Based on the IWOA-VMD Feature Selection Method
Xing Shui, Zhijun Rong, Binbin Dan, et al.
Machines (2024) Vol. 12, Iss. 3, pp. 184-184
Open Access | Times Cited: 3
A Novel Multivariate Cutting Force-Based Tool Wear Monitoring Method Using One-Dimensional Convolutional Neural Network
Yang Xu, Rui Yuan, Yong Lv, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8343-8343
Open Access | Times Cited: 15
Period-refined CYCBD using time synchronous averaging for the feature extraction of bearing fault under heavy noise
Yonghao Miao, Huifang Shi, Chenhui Li, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 2, pp. 1071-1088
Closed Access | Times Cited: 8
Amplitude-based multiscale reverse dispersion entropy: a novel approach to bearing fault diagnosis
Hao Song, Yong Lv, Rui Yuan, et al.
Structural Health Monitoring (2024) Vol. 23, Iss. 5, pp. 3063-3083
Closed Access | Times Cited: 2
Cubic spline interpolation-based refined composite multiscale dispersion entropy and its application to bearing fault identification
Hao Song, Rui Yuan, Yong Lv, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 4, pp. 2651-2673
Closed Access | Times Cited: 8
Broad Distributed Game Learning for intelligent classification in rolling bearing fault diagnosis
Haoran Liu, Haiyang Pan, Jinde Zheng, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112470-112470
Closed Access | Times Cited: 1
Wavelet sparsity enhancement for extracting transient vibration signatures of bearing structural damages
Xin Zhang, Jiaxu Wang, Lei Wu, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 3, pp. 1969-1983
Closed Access | Times Cited: 7
Industrial Fault Detection Based on Discriminant Enhanced Stacking Auto-Encoder Model
Bowen Liu, Yi Chai, Yutao Jiang, et al.
Electronics (2022) Vol. 11, Iss. 23, pp. 3993-3993
Open Access | Times Cited: 6
A fully blind and adaptive filter method to solve the inverse problem in vibration-based gear damage detection
Xin Zhang, T. Yang, Jiaxu Wang, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 4, pp. 2755-2768
Closed Access | Times Cited: 5
Fault Feature Extraction Method of Reciprocating Compressor Valve Based on SPA-MF
Ying Li, Yunjie Pan, Peng Ba, et al.
IEEE Access (2022) Vol. 10, pp. 127182-127191
Open Access | Times Cited: 5
A novel multivariate signal processing-based fault diagnosis approach of rotating machinery under various operating conditions
Yong Lv, Di Yang, Rui Yuan, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 7, pp. 075106-075106
Closed Access | Times Cited: 4
Composite Interpolated Hierarchical Dispersion Entropy: A Novel and Robust Algorithm for Mechanical Fault Diagnosis
Yong Lv, Hao Song, Rui Yuan, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10385-10399
Closed Access
A novel in-situ tool wear monitoring approach using multivariate signal processing and intrinsic multiscale entropy analysis
Yang Xu, Rui Yuan, Yong Lv, et al.
Research Square (Research Square) (2023)
Open Access
The application of fault diagnosis techniques and monitoring methods in building electrical systems – based on ELM algorithm
Guanghui Liu
Journal of Measurements in Engineering (2023) Vol. 11, Iss. 4, pp. 388-404
Open Access
A data-driven quantitative model for predicting floor groundwater inrush risk under deep and thick coal seam mining
Hao Zhan, Shouqiang Liu, Qiang Wu, et al.
Research Square (Research Square) (2023)
Open Access
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