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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:

Research on rolling bearing fault diagnosis of small dataset based on a new optimal transfer learning network
Zhi Zheng, Jiuman Fu, Chuanqi Lu, et al.
Measurement (2021) Vol. 177, pp. 109285-109285
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016
Xiaohan Chen, Rui Yang, Yihao Xue, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-21
Open Access | Times Cited: 185
Transfer learning based on improved stacked autoencoder for bearing fault diagnosis
Shuyang Luo, Xufeng Huang, Yanzhi Wang, et al.
Knowledge-Based Systems (2022) Vol. 256, pp. 109846-109846
Closed Access | Times Cited: 72
Semisupervised Subdomain Adaptation Graph Convolutional Network for Fault Transfer Diagnosis of Rotating Machinery Under Time-Varying Speeds
Pengfei Liang, Leitao Xu, Hanqin Shuai, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 1, pp. 730-741
Closed Access | Times Cited: 47
A review on convolutional neural network in rolling bearing fault diagnosis
Xin Li, Zengqiang Ma, Zonghao Yuan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 072002-072002
Closed Access | Times Cited: 9
Transfer learning rolling bearing fault diagnosis model based on deep feature decomposition and class-level alignment
Jingchuan Dong, Hongyu Jiang, Depeng Su, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 046006-046006
Closed Access | Times Cited: 8
Gearbox fault diagnosis method based on lightweight channel attention mechanism and transfer learning
Xuemin Cheng, Shuihai Dou, Yanping Du, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Rotating Machinery Fault Diagnosis Through a Transformer Convolution Network Subjected to Transfer Learning
Xinglong Pei, Xiaoyang Zheng, Jinliang Wu
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-11
Closed Access | Times Cited: 48
Transfer learning with limited labeled data for fault diagnosis in nuclear power plants
Jiangkuan Li, Meng Lin, Yankai Li, et al.
Nuclear Engineering and Design (2022) Vol. 390, pp. 111690-111690
Closed Access | Times Cited: 35
An Improved Deep Transfer Learning Method for Rotating Machinery Fault Diagnosis Based on Time Frequency Diagram and Pretraining Model
Liu Shao-qing, Z. Ji, Z. Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 7
Transfer-learning-based bearing fault diagnosis between different machines: A multi-level adaptation network based on layered decoding and attention mechanism
Shaoke Wan, Jinyu Liu, Xiaohu Li, et al.
Measurement (2022) Vol. 203, pp. 111996-111996
Closed Access | Times Cited: 26
Fault Diagnosis Method for Rolling Bearings Based on Two-Channel CNN under Unbalanced Datasets
Yufeng Qin, Xianjun Shi
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8474-8474
Open Access | Times Cited: 24
Fault Diagnosis of Rolling Bearing Under Variable Working Conditions Based on CWT and T-ResNet
Ningkun Diao, Zhicheng Wang, Huaixiang Ma, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 11, Iss. 8, pp. 3747-3757
Closed Access | Times Cited: 22
A novel hierarchical training architecture for Siamese Neural Network based fault diagnosis method under small sample
Juanru Zhao, Yuan Mei, Jin Cui, et al.
Measurement (2023) Vol. 215, pp. 112851-112851
Closed Access | Times Cited: 14
Deep Transfer Learning Framework for Bearing Fault Detection in Motors
Prashant Kumar, P Kumar, Ananda Shankar Hati, et al.
Mathematics (2022) Vol. 10, Iss. 24, pp. 4683-4683
Open Access | Times Cited: 21
Intelligent fault diagnosis method of rolling bearing based on multi-source domain fast adversarial network
Daoming She, Hongfei Zhang, Wang Hu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056119-056119
Closed Access | Times Cited: 3
Deep learning-based methods in structural reliability analysis: a review
Sajad Saraygord Afshari, Chuan Zhao, Xinchen Zhuang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 7, pp. 072001-072001
Open Access | Times Cited: 8
Active Fault-Tolerant Strategy for Flight Vehicles: Transfer Learning-Based Fault Diagnosis and Fixed-Time Fault-Tolerant Control
Jiaxin Zhao, Pingli Lu, Changkun Du, et al.
IEEE Transactions on Aerospace and Electronic Systems (2023) Vol. 60, Iss. 1, pp. 1047-1059
Closed Access | Times Cited: 8
Stretchable, ultralow detection limit and anti-interference hydrogel strain sensor for intelligent throat speech recognition using Resnet50 neural network
Jiaye Zhou, Tianchi Chen, Zhenzhi He, et al.
Journal of Materials Chemistry C (2023) Vol. 11, Iss. 39, pp. 13476-13487
Closed Access | Times Cited: 7
Rolling bearing fault diagnosis method based on dynamic simulated model from source domain to target domain with improved alternating transfer learning
Heng Wang, Peng Wang, Siyuan Wang, et al.
Nonlinear Dynamics (2024)
Closed Access | Times Cited: 2
Quality estimation method for gear hobbing based on attention and adversarial transfer learning
Dayuan Wu, Ping Yan, Jie Pei, et al.
Measurement (2021) Vol. 188, pp. 110383-110383
Closed Access | Times Cited: 16
Recent deep learning models for diagnosis and health monitoring: A review of research works and future challenges
Chuyue Lou, Mohamed Amine Atoui, Xiangshun Li
Transactions of the Institute of Measurement and Control (2023) Vol. 46, Iss. 14, pp. 2833-2870
Open Access | Times Cited: 6
Fish recognition in complex underwater scenes based on targeted sample transfer learning
Liangwei Jiang, Haiyan Quan, Tao Xie, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 18, pp. 25303-25317
Closed Access | Times Cited: 8
Deep subclass alignment transfer network based on time–frequency features for intelligent fault diagnosis of planetary gearboxes under time-varying speeds
Songjun Han, Zhipeng Feng
Measurement Science and Technology (2022) Vol. 33, Iss. 10, pp. 105010-105010
Closed Access | Times Cited: 8
A hybrid network TEdgeNeXt for data-limited and resource-constrained fault diagnosis
Chenglong Zhang, Zijian Qiao, Hao Li, et al.
Journal of Vibration and Control (2024)
Closed Access | Times Cited: 1
Compound Fault Diagnosis of Aero-Engine Rolling Element Bearing Based on CCA Blind Extraction
Weitao Zhang, Xiaofan Ji, Ju Huang, et al.
IEEE Access (2021) Vol. 9, pp. 159873-159881
Open Access | Times Cited: 11
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