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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:

Domain Conditioned Joint Adaptation Network for Intelligent Bearing Fault Diagnosis Across Different Positions and Machines
Jiachen Kuang, Guanghua Xu, Tangfei Tao, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 4, pp. 4000-4010
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Explainable Deep Ensemble Model for Bearing Fault Diagnosis Under Variable Conditions
Zhuyun Chen, Qin Wu, Guolin He, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 15, pp. 17737-17750
Closed Access | Times Cited: 19
Selective Feature Reinforcement Network for Robust Remote Fault Diagnosis of Wind Turbine Bearing Under Non-Ideal Sensor Data
Jinbiao Tan, Jiafu Wan, Baotong Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 5
Open-set domain adaptive fault diagnosis based on supervised contrastive learning and a complementary weighted dual adversarial network
Cailu Pan, Zhiwu Shang, Lutai Tang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 222, pp. 111780-111780
Closed Access | Times Cited: 5
Double-level discriminative domain adaptation network for cross-domain fault diagnosis
Yufeng Li, Xinghan Xu, Lei Hu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 5
Closed Access
Bearing fault diagnosis based on high-confidence pseudo-labels and dual-view multi-adversarial sparse joint attention network under variable working conditions
Cailu Pan, Zhiwu Shang, Wanxiang Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108625-108625
Closed Access | Times Cited: 4
Integrating intrinsic information: A novel open set domain adaptation network for cross-domain fault diagnosis with multiple unknown faults
Yuteng Zhang, Hongliang Zhang, Bin Chen, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112100-112100
Closed Access | Times Cited: 4
An intelligent fault diagnosis model for bearings with adaptive hyperparameter tuning in multi-condition and limited sample scenarios
Jianqiao Li, Zhihao Huang, Liang Jiang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Novel dual-network autoencoder based adversarial domain adaptation with Wasserstein divergence for fault diagnosis of unlabeled data
Junfeng Yang, Ning Zhang, Yan‐Lin He, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122393-122393
Closed Access | Times Cited: 12
Optimal Robust Time-Domain Feature Based Bearing Fault and Stator Fault Diagnosis
G. Geetha, P. Geethanjali
IEEE Open Journal of the Industrial Electronics Society (2024) Vol. 5, pp. 562-574
Open Access | Times Cited: 3
Fault diagnosis of bearings using a two-stage transfer alignment approach with semantic consistency and entropy loss
Jichao Zhuang, Yudong Cao, Minping Jia, et al.
Expert Systems with Applications (2023) Vol. 226, pp. 120274-120274
Closed Access | Times Cited: 9
Fault diagnosis method via one vs rest evidence classifier considering imprecise feature samples
Xiaobin Xu, Haohao Guo, Zhenjie Zhang, et al.
Applied Soft Computing (2024) Vol. 161, pp. 111761-111761
Closed Access | Times Cited: 2
Discriminative and Graph Knowledge Embedding Based on Incremental Confidence Labeling for Cross-Domain Fault Diagnosis
Huoyao Xu, Xinran Liu, Lei Dai, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 9, pp. 14712-14725
Closed Access | Times Cited: 1
Prior-knowledge-guided mode filtering network for interpretable equipment intelligent diagnosis under varying speed conditions
Rui Liu, Xiaoxi Ding, Yimin Shao
Advanced Engineering Informatics (2024) Vol. 61, pp. 102493-102493
Closed Access | Times Cited: 1
A Cross-Working Condition-Bearing Diagnosis Method Based on Image Fusion and a Residual Network Incorporating the Kolmogorov–Arnold Representation Theorem
Ziyi Tang, Xinhao Hou, Xin Wang, et al.
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7254-7254
Open Access | Times Cited: 1
Efficient Cross-Domain Fault Diagnosis via Distributed Multi-Source Domain Deep Transfer Learning
Lanjun Wan, Jiaen Ning, Yuanyuan Li, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016165-016165
Closed Access | Times Cited: 1
Prototype-Driven Class-Wise Adversarial Transfer Networks for Partial Domain Fault Diagnosis of Rolling Bearings
Yuteng Zhang, Hongliang Zhang, Rui Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 3
Frequency Estimation of Vibration Signals: A Subspace Approach for Bearing Fault Diagnosis
Changjie Li, Zheng Cao, Shanliang Li, et al.
IEEE Sensors Journal (2023) Vol. 24, Iss. 1, pp. 449-459
Closed Access | Times Cited: 3
Signal Feature Extract Based on Dual-Channel Wavelet Convolutional Network Mixed With Hypergraph Convolutional Network for Fault Diagnosis
Fangyuan Lei, Xiangmin Luo, Ziwei Chen, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 22, pp. 28378-28389
Closed Access | Times Cited: 2
A Fault Diagnosis Method for Rolling Bearing Based on Deep Adversarial Transfer Learning With Transferability Measurement
Junpeng Mi, Min Chu, Yaochun Hou, et al.
IEEE Sensors Journal (2023) Vol. 24, Iss. 1, pp. 984-994
Closed Access | Times Cited: 2
Structured Prediction in Latent Subspace for Unsupervised Fault Diagnosis with Small and Imbalanced Data
Zhengwei Zhu, Xuan Fang, Chenyang Zhu, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 15, pp. 25106-25115
Closed Access
Pattern classification of bearing faults in PMSM based on time domain feature ensembles
G Geetha, P Geethanjali
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035205-035205
Closed Access
Multi-source dynamic adaptive domain generalization network for crack detection under unknown temperature environment
J. N. Yang, Zhiqiang Gan, Tiantian Wang, et al.
Measurement (2024) Vol. 240, pp. 115588-115588
Closed Access
Hierarchical Deep Learning for Bearing Fault Detection in BLDC Motors Using Time‐Frequency Analysis
Ahmed K. Ali, Wathiq Rafa Abed
Journal of Electrical and Computer Engineering (2024) Vol. 2024, Iss. 1
Open Access
A novel hybrid data-driven domain generalization approach with dual-perspective feature fusion for intelligent fault diagnosis
Lanjun Wan, Jian Zhou, Jiaen Ning, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109614-109614
Closed Access
Multi-Condition Intelligent Fault Diagnosis Based on Tree-Structured Labels and Hierarchical Multi-Granularity Diagnostic Network
Hehua Yan, Jinbiao Tan, Yixiong Luo, et al.
Machines (2024) Vol. 12, Iss. 12, pp. 891-891
Open Access
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