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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 bearing fault diagnosis method without fault data in new working condition combined dynamic model with deep learning
Kun Xu, Xianguang Kong, Qibin Wang, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101795-101795
Closed Access | Times Cited: 69

Showing 26-50 of 69 citing articles:

Multi-source domain self-supervised enhanced transfer fault diagnosis approach with source sample refinement strategy
Xinyu Ren, Wanli Zhao, Mengmeng Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110380-110380
Closed Access | Times Cited: 5
A physics-based sample generation method for few-shot bearing condition monitoring
Zepeng Ma, Lei Fu, Fang Xu, et al.
Knowledge-Based Systems (2025), pp. 112952-112952
Closed Access
Synthetic image generation for effective deep learning model training for ceramic industry applications
Fabio Lisboa Gaspar, Daniel Carreira, Nuno M. M. Rodrigues, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110019-110019
Open Access
Bearing Fault Diagnosis for Cross-Condition Scenarios Under Data Scarcity Based on Transformer Transfer Learning Network
Miaoling Wu, Jun Jason Zhang, Peidong Xu, et al.
Electronics (2025) Vol. 14, Iss. 3, pp. 515-515
Open Access
Enhanced feedback analysis of vertical load reliability parameters for airplane landing gear using an improved generative adversarial network and explainable artificial intelligence techniques
Wei-Huang Pan, Yunwen Feng, Cheng Lu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110175-110175
Closed Access
Dynamic model-assisted disentanglement framework for rolling bearing fault diagnosis under time-varying speed conditions
Yuhui Xu, Yimin Jiang, Tangbin Xia, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112588-112588
Closed Access
A fault diagnosis method for key transmission components of rotating machinery based on SAM-1DCNN-BiLSTM temporal and spatial feature extraction
Wenliao Du, Xutong Niu, Hongchao Wang, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2025)
Closed Access
Automatic tower crane layout planning system for high-rise building construction using generative adversarial network
Rongyan Li, Hung-Lin Chi, Zhenyu Peng, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102202-102202
Closed Access | Times Cited: 11
Optimization of rolling bearing dynamic model based on improved golden jackal optimization algorithm and sensitive feature fusion
Cailu Pan, Zhiwu Shang, Fei Liu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 204, pp. 110845-110845
Closed Access | Times Cited: 10
A novel intelligent bearing fault diagnosis method based on image enhancement and improved convolutional neural network
Guocai Nie, Zhongwei Zhang, Zonghao Jiao, et al.
Measurement (2024), pp. 116148-116148
Closed Access | Times Cited: 3
Corn Harvester Bearing Fault Diagnosis Based on ABC-VMD and Optimized EfficientNet
Zhiyuan Liu, Wenlei Sun, Saike Chang, et al.
Entropy (2023) Vol. 25, Iss. 9, pp. 1273-1273
Open Access | Times Cited: 8
Cross-domain privacy-preserving broad network for fault diagnosis of rotating machinery
Mingkuan Shi, Chuancang Ding, Shuyuan Chang, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102157-102157
Closed Access | Times Cited: 7
Multi-source unsupervised domain adaptive mill load forecasting method based on deep learning and fusion features
Y Liu, Gaowei Yan, Li Rong, et al.
Minerals Engineering (2024) Vol. 209, pp. 108650-108650
Closed Access | Times Cited: 2
Unknown working condition fault diagnosis of rotate machine without training sample based on local fault semantic attribute
Xuejun Liu, Wei Sun, Hongkun Li, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102515-102515
Closed Access | Times Cited: 2
An adaptive transfer fault detection method for rotary machine with multi-sensor information fusion
Qibin Wang, Linyang Yu, Liang Hao, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 2
A novel zero-shot learning approach for cross-domain fault diagnosis in high-voltage circuit breakers
Qiuyu Yang, Zhenlin Zhai, Yuyi Lin, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102777-102777
Closed Access | Times Cited: 2
A state of the art in digital twin for intelligent fault diagnosis
Changhua Hu, Zeming Zhang, Chuanyang Li, et al.
Advanced Engineering Informatics (2024) Vol. 63, pp. 102963-102963
Closed Access | Times Cited: 2
Rolling Bearing Fault Diagnosis Based On Convolutional Capsule Network
Guang‐Jun Jiang, Dezhi Li, Ke Feng, et al.
Journal of Dynamics Monitoring and Diagnostics (2023)
Open Access | Times Cited: 6
A novel multi-scale competitive network for fault diagnosis in rotating machinery
Zhiwu Huang, Xinlong Zhao
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107441-107441
Closed Access | Times Cited: 6
A zero-sample intelligent fault diagnosis method for bearings based on category relationship model
Qibin Wang, Ni Liu, Junji Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107739-107739
Closed Access | Times Cited: 5
Comprehensive working condition evaluation of the sintering process based on polymorphic indicators
Yijing Fang, Weihua Gui, Zhaohui Jiang, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102220-102220
Closed Access | Times Cited: 5
UnseenSignalTFG: a signal-level expansion method for unseen acoustic data based on transfer learning
Xiaoying Pan, Jia Sun, Mingzhu Lei, et al.
Applied Intelligence (2024) Vol. 54, Iss. 13-14, pp. 7317-7351
Closed Access | Times Cited: 1
Hybrid physics-embedded recurrent neural networks for fault diagnosis under time-varying conditions based on multivariate proprioceptive signals
Rourou Li, Tangbin Xia, Feng Luo, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102851-102851
Closed Access | Times Cited: 1
A small sample diagnosis method driven by simulation and test data: applied to axle box bearings of high-speed train
Jingsong Xie, Longzhen Tian, Mingqi Lin, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125044-125044
Closed Access | Times Cited: 4
Measuring compound defect of bearing by wavelet gradient integrated spiking neural network
Jianping Xuan, Zisheng Wang, Shaochen Li, et al.
Measurement (2023) Vol. 223, pp. 113796-113796
Closed Access | Times Cited: 3

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