OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Semi-supervised fault diagnosis of wheelset bearings in high-speed trains using autocorrelation and improved flow Gaussian mixture model
Jiayi Wu, Yilei Li, Limin Jia, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107861-107861
Closed Access | Times Cited: 8

Showing 8 citing articles:

Dual-stage manifold preserving mixed supervised learning for bogie fault diagnosis under variable conditions
Ning Wang, Limin Jia, Yong Qin, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110512-110512
Closed Access

A transfer learning method: Universal domain adaptation with noisy samples for bearing fault diagnosis
Yi Sun, Hong‐Liang Song, Liang Guo, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103243-103243
Closed Access

Complex Symplectic Geometry Mode Decomposition and A Novel Time-Frequency Fault Feature Extraction Method
Ge Xin, Yifei Chen, Lingfeng Li, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-10
Closed Access

Assessment of renewable energy alternatives for sustainable resource policies with knowledge-based expert prioritized quantum picture fuzzy rough modelling
Hasan Di̇nçer, Serhat Yüksel, Witold Pedrycz
Expert Systems with Applications (2025), pp. 126826-126826
Closed Access

Autonomous Bearing Fault Diagnosis Based on Fault-Induced Envelope Spectrum and Moving Peaks-Over-Threshold Approach
Ge Xin, Qitian Zhong, Yaqiang Jin, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 3

Adaptive neighborhood-perceived contrastive network for early stage fault diagnosis of rolling bearing with limited labeled data
Yu Yao, Jian Feng, Huaguang Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109063-109063
Closed Access | Times Cited: 1

Fault diagnosis based on incomplete sensor variables with a hierarchical semi-supervised Gaussian mixture classifier
Xingchen Liu, C.K.M. Lee, Hanxiao Zhang, et al.
Applied Mathematical Modelling (2024), pp. 115764-115764
Closed Access

Page 1

Scroll to top