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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 novel convolutional neural network with multiscale cascade midpoint residual for fault diagnosis of rolling bearings
Zhiqiang Chao, Tian Han
Neurocomputing (2022) Vol. 506, pp. 213-227
Closed Access | Times Cited: 22

Showing 22 citing articles:

A novel intelligent diagnosis method of rolling bearing and rotor composite faults based on vibration signal-to-image mapping and CNN-SVM
Hongwei Fan, Ceyi Xue, Jiateng Ma, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 4, pp. 044008-044008
Closed Access | Times Cited: 43
Deep residual convolutional neural network based on hybrid attention mechanism for ecological monitoring of marine fishery
Jiangxun Liu, Lei Zhang, Yanfei Li, et al.
Ecological Informatics (2023) Vol. 77, pp. 102204-102204
Closed Access | Times Cited: 23
Research on a Modified Hybrid-Driven Fault Diagnosis Approach for Vfdr Sensor Faults
Meng Tang, Zongyu Zhang, Xiaohu Zhu, et al.
(2025)
Closed Access
High-Speed Bearing Health Monitoring Method Based on Attention Mechanism Optimized Siamese Deep Residual Network
Jian Duan, Hu Cheng, Hongdi Zhou, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 23191-23200
Closed Access | Times Cited: 11
A fault location method based on ensemble complex spatio-temporal attention network for complex systems under fluctuating operating conditions
Jingli Yang, Tianyu Gao, Ge Yan, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110489-110489
Closed Access | Times Cited: 10
A frequency channel-attention based vision Transformer method for bearing fault identification across different working conditions
Ling Xiang, Hankun Bing, Xianze Li, et al.
Expert Systems with Applications (2024) Vol. 262, pp. 125686-125686
Closed Access | Times Cited: 3
Fault diagnosis method for rolling bearings based on BICNN under complex operating conditions
Xiaoyan Duan, Jiashuo Shi, Chunli Lei, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 9
Open Access | Times Cited: 2
A novel deep learning model for fault diagnosis of rolling-element bearing based on convolution neural network and recurrent neural network
Xudong Song, Xinran Lyu, S.-W. Sun, et al.
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2023)
Closed Access | Times Cited: 5
Anti-noise transfer adversarial convolutions with adaptive threshold for rotating machine fault diagnosis
Tong Wang, Xin Xu, Pan Hong-xia
ISA Transactions (2024) Vol. 146, pp. 175-185
Closed Access | Times Cited: 1
Intelligent fault diagnosis of machinery based on hybrid deep learning with multi temporal correlation feature fusion
Yaqiong Lv, Xiaohu Zhang, Yiwei Cheng, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 6, pp. 3517-3536
Closed Access | Times Cited: 1
Rolling bearing fault diagnosis method based on multi-scale pooling residual convolutional neural network under noisy environment
Chengxiang Miao, Chunli Lei, Y.B. Yu, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2024)
Open Access | Times Cited: 1
Adaptive search for broad attention based vision transformers
Nannan Li, Yaran Chen, Dongbin Zhao
Neurocomputing (2024) Vol. 611, pp. 128696-128696
Closed Access | Times Cited: 1
Adaptive Multi-Channel Residual Shrinkage Networks for the Diagnosis of Multi-Fault Gearbox
Wen‐Xian Chen, Kuangchi Sun, Xinxin Li, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1714-1714
Open Access | Times Cited: 3
Fault diagnosis based on feature enhancement multiscale network under nonstationary conditions
Yao Liu, Haoyuan Dong, Wei Ma
Aerospace Systems (2024)
Closed Access
Predicting Economic Advantages in Smart Innovative City Development: A CSO-MCNN Approach
Guo Yao, Huwei Li
Journal of the Knowledge Economy (2024)
Closed Access
Fault diagnosis method for rolling bearings based on BICNN under complex operating conditions
Xiaoyan Duan, Jiashuo Shi, Chunli Lei, et al.
Research Square (Research Square) (2024)
Open Access
FCHG: Fuzzy Cognitive Hypergraph for interpretable fault detection
Dunwang Qin, Zhen Peng, Lifeng Wu
Expert Systems with Applications (2024) Vol. 255, pp. 124700-124700
Closed Access
Rolling bearing fault diagnosis method based on MSDCNN in strong noise environment
Julie S. Ivy, Brian K. Wilson, Marion W. Scott, et al.
Journal of applied artificial intelligence. (2024) Vol. 1, Iss. 3, pp. 284-298
Closed Access
Diagnosis of incipient faults in wind turbine bearings based on ICEEMDAN–IMCKD
Yanjun Li, DJ Han
International journal of mechanical system dynamics (2024)
Open Access
Enhancing fault diagnosis with a hybrid attention mechanism and spatio-temporal feature mining model using small sample data
Zhicheng He, Gang Tan, Enlin Zhou, et al.
Structural Health Monitoring (2024)
Closed Access
Indirect Adaptive Neural Control based on VLRs of nonlinear MIMO systems
Rabab Hamza, Farhat Yassin, Ali Zribi
2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) (2022), pp. 198-202
Closed Access | Times Cited: 1
A Multiscale Residual Convolutional Neural Network with Varifocal Receptive Field for Fault Diagnosis
Yiwei Cheng, Long Wen, Jun Wu, et al.
(2023)
Closed Access
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