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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:

Bearing fault diagnosis of wind turbines based on dynamic multi-adversarial adaptive network
Miao Tian, Xiaoming Su, Changzheng Chen, et al.
Journal of Mechanical Science and Technology (2023) Vol. 37, Iss. 4, pp. 1637-1651
Closed Access | Times Cited: 11

Showing 11 citing articles:

A Multi-Branch Convolution and Dynamic Weighting Method for Bearing Fault Diagnosis Based on Acoustic–Vibration Information Fusion
Xianming Sun, Yuhang Yang, Changzheng Chen, et al.
Actuators (2025) Vol. 14, Iss. 1, pp. 17-17
Open Access
Federated Transfer Learning-Based Distributed Fault Diagnosis Method for Rolling Bearings
Guang Yang, Juan Su, Songhuai Du, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126111-126111
Closed Access | Times Cited: 3
An Adversarial Single-Domain Generalization Network for Fault Diagnosis of Wind Turbine Gearboxes
Xinran Wang, Chenyong Wang, Hanlin Liu, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 12, pp. 2384-2384
Open Access | Times Cited: 9
Deep learning-based fuzzy decision support system-based fault diagnosis of wind turbine generators in electrical machines
Wei Kong Pang, Kangming Xu, Qingyuan Wu, et al.
Electrical Engineering (2024)
Closed Access | Times Cited: 1
LLM-based framework for bearing fault diagnosis
Laifa Tao, Haifei Liu, Guoao Ning, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112127-112127
Closed Access | Times Cited: 1
A Novel Method for Multistage Degradation Predicting the Remaining Useful Life of Wind Turbine Generator Bearings Based on Domain Adaptation
Miao Tian, Xiaoming Su, Changzheng Chen, et al.
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12332-12332
Open Access | Times Cited: 3
Dynamic Condition Adversarial Adaptation for Fault Diagnosis of Wind Turbine Gearbox
Hongpeng Zhang, Xinran Wang, Cunyou Zhang, et al.
Sensors (2023) Vol. 23, Iss. 23, pp. 9368-9368
Open Access | Times Cited: 2
Investigation on the influence of temperature-variation clearance on the frequency of rolling bearing defects
Wenjie An, Yanling Gu, Changzheng Chen, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066126-066126
Closed Access
An unsupervised transfer learning gear fault diagnosis method based on parameter-optimized VMD and residual attention networks
Jiaocheng Ma, Hongdong Lv, Qin Liu, et al.
Research Square (Research Square) (2024)
Open Access
An unsupervised transfer learning gear fault diagnosis method based on parameter-optimized VMD and residual attention networks
Jiaocheng Ma, Hongdong Lv, Qin Liu, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 11
Closed Access
A fault diagnosis method for rolling bearings of wind turbine generators based on MCGAN data enhancement
Zhiyuan Jia, Baojun Yu
SN Applied Sciences (2023) Vol. 5, Iss. 10
Open Access | Times Cited: 1
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