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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:

CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis
Diwang Ruan, Jin Wang, Jianping Yan, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101877-101877
Open Access | Times Cited: 154

Showing 26-50 of 154 citing articles:

A new lifelong learning method based on dual distillation for bearing diagnosis with incremental fault types
Shijun Xie, Changqing Shen, Dong Wang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103136-103136
Closed Access
Cross-domain bearing fault diagnosis under missing labels with uncertainty modeling and digital twin correction
Z. Zhou, Wenhua Chen
Measurement (2025), pp. 116869-116869
Closed Access
Online prognostic failure AIoT system for industrial generators maintenance service based two-stage deep learning algorithm
D. T. Nguyen, Phuong Nguyen Thanh, Ming-Yuan Cho
Control Engineering Practice (2025) Vol. 157, pp. 106263-106263
Closed Access
A Non-local adaptive network for cross-domain intelligent fault diagnosis leveraging multi-source IOT data
Hong Shao, Yongwen Tan, Jingbo Li, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 4
Closed Access
FD-LLM: Large language model for fault diagnosis of complex equipment
Lin Lin, Sihao Zhang, Fu Song, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103208-103208
Closed Access
A comprehensive review of deep learning-based fault diagnosis approaches for rolling bearings: Advancements and challenges
Jingxin ZHAO, Wenming Wang, Ji Huang, et al.
AIP Advances (2025) Vol. 15, Iss. 2
Open Access
Fed-MWFP: Lightweight Federated Learning with Interpretable Multiple Wavelet Fusion Network for Fault Diagnosis under Variable Operating Conditions
Yan Zhang, Haishen Kong, Yan Han, et al.
Knowledge-Based Systems (2025) Vol. 315, pp. 113277-113277
Closed Access
Scalable bearing fault diagnosis using metaheuristic feature selection and machine learning for diverse operating conditions
B. R. Nayana, R. Subha, Rekha Radhakrishnan, et al.
Systems Science & Control Engineering (2025) Vol. 13, Iss. 1
Open Access
Fault Types and Diagnostic Methods of Manipulator Robots: A Review
Yue-Peng Zhang, Jun Wu, Bo Gao, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1716-1716
Open Access
A lightweight multi-feature fusion vision transformer bearing fault diagnosis method with strong local sensing ability in complex environments
Sen Li, Xiaoqiang Zhao
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 065104-065104
Closed Access | Times Cited: 4
Multi-scale deep residual shrinkage networks with a hybrid attention mechanism for rolling bearing fault diagnosis
Xinliang Zhang, Yanqi Wang, Shengqiang Wei, et al.
Journal of Instrumentation (2024) Vol. 19, Iss. 05, pp. P05015-P05015
Open Access | Times Cited: 4
A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis
Lanjun Wan, Le Huang, Jiaen Ning, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112113-112113
Closed Access | Times Cited: 4
A Survey on Fault Diagnosis of Rotating Machinery Based on Machine Learning
Qi Wang, Rui Huang, Jianbin Xiong, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 102001-102001
Closed Access | Times Cited: 4
Trustworthy Bayesian Deep Learning Framework for Uncertainty Quantification and Confidence Calibration: Application in Machinery Fault Diagnosis
Hao Li, Jinyang Jiao, Zongyang Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 255, pp. 110657-110657
Closed Access | Times Cited: 4
Fault Diagnosis Model via Vibration Signal Analysis With an Improved BKA‐VMD and CNN‐TELM Hybrid Framework
Jingzong Yang, Xuefeng Li, Min Mao
Energy Science & Engineering (2025)
Open Access
A novel interpretable fault diagnosis method using multi-image feature extraction and attention fusion
Jie Wang, Haidong Shao, He Jing, et al.
Pattern Recognition Letters (2025) Vol. 189, pp. 38-47
Closed Access
MGTN-DSI: A multi-sensor graph transfer network considering dual structural information for fault diagnosis under varying working conditions
Jianjie Liu, Xianfeng Yuan, Xilin Yang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103119-103119
Closed Access
Biologically inspired compound defect detection using a spiking neural network with continuous time–frequency gradients
Zisheng Wang, Shaochen Li, Jianping Xuan, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103132-103132
Closed Access
Hybrid triboelectric-variable reluctance generator assisted wireless intelligent condition monitoring of aero-engine main bearings
Xiantao Zhang, Qingyu Zhu, Song Wang, et al.
Nano Energy (2025), pp. 110721-110721
Closed Access
KMDSAN: A novel method for cross-domain and unsupervised bearing fault diagnosis
Shuping Wu, Peiming Shi, Xuefang Xu, et al.
Knowledge-Based Systems (2025), pp. 113170-113170
Closed Access
A dual-discriminator network based on Sobel gradient operator for digital twin-assisted fault diagnosis
Shuyang Luo, Jiachang Qian, Xufeng Huang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110155-110155
Closed Access
A Novel Framework Based on Complementary Views for Fault Diagnosis with Cross-Attention Mechanisms
Xiaorong Liu, Zhonghan Chen, Dongfeng Hu, et al.
Electronics (2025) Vol. 14, Iss. 5, pp. 886-886
Open Access
A Novel Bearing Fault Diagnosis Method Based on Improved Convolutional Neural Network and Multi-Sensor Fusion
Zhongyao Wang, Xiao Xu, Dongli Song, et al.
Machines (2025) Vol. 13, Iss. 3, pp. 216-216
Open Access
Vibration signal analysis for rolling bearings faults diagnosis based on deep-shallow features fusion
Ahmed Chennana, Ahmed Chaouki Megherbi, Noureddine Bessous, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Research on Digital Twin Modeling and Fault Diagnosis Methods for Rolling Bearings
Jiayi Fan, Lijuan Zhao, Minghao Li
Sensors (2025) Vol. 25, Iss. 7, pp. 2023-2023
Open Access

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