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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:

A Lightweight Bearing Fault Diagnosis Method Based on Multi-Channel Depthwise Separable Convolutional Neural Network
Liuyi Ling, Qi Wu, Kaiwen Huang, et al.
Electronics (2022) Vol. 11, Iss. 24, pp. 4110-4110
Open Access | Times Cited: 9

Showing 9 citing articles:

An Edge Intelligent Method for Bearing Fault Diagnosis Based on a Parameter Transplantation Convolutional Neural Network
Xiang Ding, Hang Wang, Zheng Cao, et al.
Electronics (2023) Vol. 12, Iss. 8, pp. 1816-1816
Open Access | Times Cited: 16
Surface defect detection on industrial drum rollers: Using enhanced YOLOv8n and structured light for accurate inspection
Guofeng Qin, Qin Zou, Mengyan Li, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0316569-e0316569
Open Access
Axle bearing fault diagnosis for high-speed trains: A comprehensive review of methodologies, technologies, challenges and emerging trends
Meryem Abtane, Khalid Dahi, Hervé Martinez, et al.
Measurement (2025) Vol. 251, pp. 117098-117098
Closed Access
Real-time defect detection and classification in robotic assembly lines: A machine learning framework
Fadi El Kalach, Mojtaba A. Farahani, Thorsten Wuest, et al.
Robotics and Computer-Integrated Manufacturing (2025) Vol. 95, pp. 103011-103011
Open Access
Multi-sensor fusion rolling bearing intelligent fault diagnosis based on VMD and ultra-lightweight GoogLeNet in industrial environments
Shouqi Wang, Zhigang Feng
Digital Signal Processing (2023) Vol. 145, pp. 104306-104306
Closed Access | Times Cited: 12
Deep Subdomain Transfer Learning with Spatial Attention ConvLSTM Network for Fault Diagnosis of Wheelset Bearing in High-Speed Trains
Jiujian Wang, Shaopu Yang, Yongqiang Liu, et al.
Machines (2023) Vol. 11, Iss. 2, pp. 304-304
Open Access | Times Cited: 7
Real-Time Defect Detection and Classification in Robotic Assembly Lines: A Machine Learning Framework
Fadi El Kalach, Mojtaba A. Farahani, Thorsten Wuest, et al.
(2024)
Closed Access
Fault Intelligent Diagnosis for Distribution Box in Hot Rolling Based on Depthwise Separable Convolution and Bi-LSTM
Yonglin Guo, Di Zhou, Huimin Chen, et al.
Processes (2024) Vol. 12, Iss. 9, pp. 1999-1999
Open Access
Enhanced Disease Detection for Apple Leaves with Rotating Feature Extraction
Zhihui Qiu, Yi‐Han Xu, Chen Chen, et al.
Agronomy (2024) Vol. 14, Iss. 11, pp. 2602-2602
Open Access
Graph-Based Feature Engineering for Enhanced Machine Learning in Rolling Element Bearing Fault Diagnosis
Seyed Mohammad Hosseini, Abolfazl Dibaji, Sadegh Sulaimany
Engineering Research Express (2024) Vol. 6, Iss. 4, pp. 045234-045234
Closed Access
A Lightweight Network With Adaptive Input and Adaptive Channel Pruning Strategy for Bearing Fault Diagnosis
L. Liu, Yao Cheng, Dongli Song, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1
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