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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 1-25 of 69 citing articles:

Adaptive thresholding and coordinate attention-based tree-inspired network for aero-engine bearing health monitoring under strong noise
Dezun Zhao, Wenbin Cai, Lingli Cui
Advanced Engineering Informatics (2024) Vol. 61, pp. 102559-102559
Closed Access | Times Cited: 46
A self-attention based contrastive learning method for bearing fault diagnosis
Long Cui, Xincheng Tian, Qingzhe Wei, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121645-121645
Closed Access | Times Cited: 40
Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis
Yutong Dong, Hongkai Jiang, Mingzhe Mu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102573-102573
Closed Access | Times Cited: 22
A pruned-optimized weighted graph convolutional network for axial flow pump fault diagnosis with hydrophone signals
Xin Zhang, Li Jiang, Lei Wang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102365-102365
Closed Access | Times Cited: 18
A modified active learning intelligent fault diagnosis method for rolling bearings with unbalanced samples
Jiantao Lu, Wei Wu, Xin Huang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102397-102397
Closed Access | Times Cited: 16
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
Single-domain incremental generation network for machinery intelligent fault diagnosis under unknown working speeds
Yuanyue Pu, Jian Tang, Xue‐Gang Li, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102400-102400
Closed Access | Times Cited: 15
A domain feature decoupling network for rotating machinery fault diagnosis under unseen operating conditions
Tianyu Gao, Jingli Yang, Wenmin Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110449-110449
Closed Access | Times Cited: 15
Imbalanced domain generalization via Semantic-Discriminative augmentation for intelligent fault diagnosis
Chao Zhao, Weiming Shen
Advanced Engineering Informatics (2023) Vol. 59, pp. 102262-102262
Closed Access | Times Cited: 32
A new bearing fault diagnosis method via simulation data driving transfer learning without target fault data
Wenbo Hou, Chunlin Zhang, Yunqian Jiang, et al.
Measurement (2023) Vol. 215, pp. 112879-112879
Closed Access | Times Cited: 30
Intelligent fault diagnosis of bearings under small samples: A mechanism-data fusion approach
Kun Xu, Xianguang Kong, Qibin Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107063-107063
Closed Access | Times Cited: 29
Point cloud-based dimensional quality assessment of precast concrete components using deep learning
Jiangpeng Shu, Wenhao Li, Congguang Zhang, et al.
Journal of Building Engineering (2023) Vol. 70, pp. 106391-106391
Closed Access | Times Cited: 27
Semi-supervised fault diagnosis of gearbox based on feature pre-extraction mechanism and improved generative adversarial networks under limited labeled samples and noise environment
Lijie Zhang, Bin Wang, Pengfei Liang, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102211-102211
Closed Access | Times Cited: 27
Remaining useful life prediction combined dynamic model with transfer learning under insufficient degradation data
Han Cheng, Xianguang Kong, Qibin Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109292-109292
Closed Access | Times Cited: 26
Fault diagnosis of gearbox driven by vibration response mechanism and enhanced unsupervised domain adaptation
Fei Jiang, Weiqi Lin, Zhaoqian Wu, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102460-102460
Closed Access | Times Cited: 13
Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis
Xiao Zhang, Weiguo Huang, Chuancang Ding, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102538-102538
Closed Access | Times Cited: 12
Information-guided signal multi-granularity contrastive feature learning for fault diagnosis with few labeled data
Yanzhuo Lin, Yu Wang, Mingquan Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102471-102471
Closed Access | Times Cited: 8
Attribute fusion transfer for zero-shot fault diagnosis
Linchuan Fan, Xiaolong Chen, Yi Chai, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102204-102204
Closed Access | Times Cited: 18
A novel metric-based model with the ability of zero-shot learning for intelligent fault diagnosis
Caizi Fan, Yongchao Zhang, Hui Ma, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107605-107605
Closed Access | Times Cited: 16
Multi-distribution mixture generative adversarial networks for fitting diverse data sets
Minqing Ivy Yang, Jinchuan Tang, Shuping Dang, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123450-123450
Open Access | Times Cited: 5
Creating spatial visualizations using fine-tuned interior design style models informed by user preferences
Jin-Kook Lee, Hyun Jeong, Youngchae Kim, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102686-102686
Closed Access | Times Cited: 5
Fault diagnosis of rotating parts integrating transfer learning and ConvNeXt model
Zhikai Xing, Yongbao Liu, Qiang Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
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
A survey on machine learning approaches for uncertainty quantification of engineering systems
Yan Shi, Pengfei Wei, Ke Feng, et al.
Machine learning for computational science and engineering (2025) Vol. 1, Iss. 1
Open Access
A recombination generation method for missing fault data samples under unknown working conditions based on swap invariance-based multi-attribute disentangled representation network
Yujie Cheng, Gaowei Wang, Haoxin Gu, et al.
Measurement (2025), pp. 116982-116982
Closed Access
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