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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:

Physics-Informed Residual Network (PIResNet) for rolling element bearing fault diagnostics
Qing Ni, Jinchen Ji, Benjamin Halkon, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110544-110544
Open Access | Times Cited: 173

Showing 1-25 of 173 citing articles:

A parallel deep neural network for intelligent fault diagnosis of drilling pumps
Junyu Guo, Yulai Yang, He Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108071-108071
Open Access | Times Cited: 43
Multi-cavitation states diagnosis of the vortex pump using a combined DT-CWT-VMD and BO-LW-KNN based on motor current signals
Weitao Zeng, Peijian Zhou, Yanzhao Wu, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 19, pp. 30690-30705
Closed Access | Times Cited: 25
Insights into modern machine learning approaches for bearing fault classification: A systematic literature review
Afzal Ahmed Soomro, Masdi Muhammad, Ainul Akmar Mokhtar, et al.
Results in Engineering (2024) Vol. 23, pp. 102700-102700
Open Access | Times Cited: 18
Explicit speed-integrated LSTM network for non-stationary gearbox vibration representation and fault detection under varying speed conditions
Yuejian Chen, Xuemei Liu, Meng Rao, et al.
Reliability Engineering & System Safety (2024), pp. 110596-110596
Closed Access | Times Cited: 16
Failure analysis of floating offshore wind turbines based on a fuzzy failure mode and effect analysis model
Qiandong Feng, Jinsong Xia, Liangjun Wen, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 5, pp. 2159-2177
Closed Access | Times Cited: 10
Physics-informed unsupervised domain adaptation framework for cross-machine bearing fault diagnosis
Ning Jia, Weiguo Huang, Chuancang Ding, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102774-102774
Closed Access | Times Cited: 10
A novel semi-supervised prototype network with two-stream wavelet scattering convolutional encoder for TBM main bearing few-shot fault diagnosis
Xingchen Fu, Jianfeng Tao, Keming Jiao, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111408-111408
Closed Access | Times Cited: 9
MNHP-GAE: A Novel Manipulator Intelligent Health State Diagnosis Method in Highly Imbalanced Scenarios
Bo Zhao, Qiqiang Wu, Ke Zhao, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 24073-24082
Closed Access | Times Cited: 9
A comprehensive review of model compression techniques in machine learning
Pierre V. Dantas, Waldir Sabino da Silva, Lucas C. Cordeiro, et al.
Applied Intelligence (2024) Vol. 54, Iss. 22, pp. 11804-11844
Open Access | Times Cited: 9
PhysiCausalNet: A Causal- and Physics-Driven Domain Generalization Network for Cross-Machine Fault Diagnosis of Unseen Domain
Yumeng Zhu, Yanyang Zi, Jie Li, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 6, pp. 8488-8498
Closed Access | Times Cited: 8
A hierarchically normalized physics-informed neural network for solving differential equations: Application for solid mechanics problems
Thang Le-Duc, Seunghye Lee, H. Nguyen‐Xuan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108400-108400
Closed Access | Times Cited: 8
A random forest regression with Bayesian optimization-based method for fatigue strength prediction of ferrous alloys
Junyu Guo, Xueping Zan, Lin Wang, et al.
Engineering Fracture Mechanics (2023) Vol. 293, pp. 109714-109714
Closed Access | Times Cited: 20
An unsupervised transfer learning method based on SOCNN and FBNN and its application on bearing fault diagnosis
Bo Zheng, Jianhao Huang, Xin Ma, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 111047-111047
Closed Access | Times Cited: 19
A conditional generative model for end-to-end stress field prediction of composite bolted joints
Yong Zhao, Yuming Liu, Qingyuan Lin, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108692-108692
Closed Access | Times Cited: 7
Bayesian Fusion of Degradation and Failure Time Data for Reliability Assessment of Industrial Equipment Considering Individual Differences
Guo‐Zhong Fu, Xian Zhang, Wei Li, et al.
Processes (2024) Vol. 12, Iss. 2, pp. 268-268
Open Access | Times Cited: 6
Rolling bearing fault diagnosis based on multi-domain features and whale optimized support vector machine
Bing Wang, Huimin Li, Xiong Hu, et al.
Journal of Vibration and Control (2024)
Closed Access | Times Cited: 6
Classifier-guided neural blind deconvolution: A physics-informed denoising module for bearing fault diagnosis under noisy conditions
Jing-Xiao Liao, Chao He, Jipu Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 222, pp. 111750-111750
Closed Access | Times Cited: 6
Multi-view clustering via high-order bipartite graph fusion
Zihua Zhao, Ting Wang, Haonan Xin, et al.
Information Fusion (2024) Vol. 113, pp. 102630-102630
Closed Access | Times Cited: 6
Beyond the limits of parametric design: Latent space exploration strategy enabling ultra-broadband acoustic metamaterials
Min Woo Cho, Seok Hyeon Hwang, Jun-Young Jang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108595-108595
Closed Access | Times Cited: 5
Small sample gearbox fault diagnosis based on improved deep forest in noisy environments
Haidong Shao, Yuhang Ming, Yiyu Liu, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-22
Closed Access | Times Cited: 5
Energy consumption and workload prediction for edge nodes in the Computing Continuum
Sergio Laso, Pablo Rodríguez, Juan Luis Herrera, et al.
Sustainable Computing Informatics and Systems (2025), pp. 101088-101088
Closed Access
Data-driven machinery fault diagnosis: A comprehensive review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
Neurocomputing (2025), pp. 129588-129588
Open Access
Hybrid graph convolutional and deep convolutional networks for enhanced pavement crack detection
Qingsong Song, Jing Tian
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110227-110227
Closed Access
An end-to-end audio classification framework with diverse features for obstructive sleep apnea-hypopnea syndrome diagnosis
Bin Li, Xihe Qiu, Xiaoyu Tan, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
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
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