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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:

Cross-Modal Fusion Convolutional Neural Networks With Online Soft-Label Training Strategy for Mechanical Fault Diagnosis
Yadong Xu, Ke Feng, Xiaoan Yan, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 73-84
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study
Chao Zhao, Enrico Zio, Weiming Shen
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109964-109964
Closed Access | Times Cited: 72
Digital Twin Enabled Domain Adversarial Graph Networks for Bearing Fault Diagnosis
Ke Feng, Yadong Xu, Yulin Wang, et al.
IEEE Transactions on Industrial Cyber-Physical Systems (2023) Vol. 1, pp. 113-122
Open Access | Times Cited: 59
IFD-MDCN: Multibranch denoising convolutional networks with improved flow direction strategy for intelligent fault diagnosis of rolling bearings under noisy conditions
Sheng Li, Jinchen Ji, Yadong Xu, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109387-109387
Open Access | Times Cited: 33
A novel generalized source-free domain adaptation approach for cross-domain industrial fault diagnosis
Jilun Tian, Jiusi Zhang, Yuchen Jiang, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109891-109891
Closed Access | Times Cited: 30
A graph-guided collaborative convolutional neural network for fault diagnosis of electromechanical systems
Yadong Xu, Jinchen Ji, Qing Ni, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110609-110609
Closed Access | Times Cited: 28
Adaptive weighted generative adversarial network with attention mechanism: A transfer data augmentation method for tool wear prediction
Jianliang He, Yadong Xu, Yi Pan, et al.
Mechanical Systems and Signal Processing (2024) Vol. 212, pp. 111288-111288
Closed Access | Times Cited: 10
Multiattention-Based Feature Aggregation Convolutional Networks With Dual Focal Loss for Fault Diagnosis of Rotating Machinery Under Data Imbalance Conditions
Yadong Xu, Sheng Li, Xiaoan Yan, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 8
Digital twin-driven discriminative graph learning networks for cross-domain bearing fault recognition
Yadong Xu, Qiubo Jiang, Sheng Li, et al.
Computers & Industrial Engineering (2024) Vol. 193, pp. 110292-110292
Closed Access | Times Cited: 7
Digital twin-driven focal modulation-based convolutional network for intelligent fault diagnosis
Sheng Li, Qiubo Jiang, Yadong Xu, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109590-109590
Closed Access | Times Cited: 17
Global contextual feature aggregation networks with multiscale attention mechanism for mechanical fault diagnosis under non-stationary conditions
Yadong Xu, Yuejian Chen, Hengcheng Zhang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 203, pp. 110724-110724
Closed Access | Times Cited: 17
Online Knowledge Distillation-Based Multiscale Threshold Denoising Networks for Fault Diagnosis of Transmission Systems
Yadong Xu, Xiaoan Yan, Beibei Sun, et al.
IEEE Transactions on Transportation Electrification (2023) Vol. 10, Iss. 2, pp. 4421-4431
Closed Access | Times Cited: 16
Fault diagnosis of planetary gearboxes under variable operating conditions based on AWM-TCN
Jinpeng Huang, Guoxin Wu, Xiuli Liu, et al.
Computers & Electrical Engineering (2024) Vol. 119, pp. 109520-109520
Closed Access | Times Cited: 6
A feature cross-fusion HGCN based on feature distillation denoising for fault diagnosis of helicopter tail drive system
Zhaohui Qiao, Aijun Yin, Quan He, et al.
Expert Systems with Applications (2025), pp. 126587-126587
Closed Access
Joint distribution Bures–Wasserstein distance based multi-source student teacher network for rotating machinery fault diagnosis
Fucheng Yan, Liang Yu, Ran Wang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 227, pp. 112366-112366
Closed Access
Fault Types and Diagnostic Methods of Manipulator Robots: A Review
Yue-Peng Zhang, Jun Wu, Bo Gao, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1716-1716
Open Access
A multi-branch attention coupled convolutional domain adaptation network for bearing intelligent fault recognition under unlabeled sample scenarios
Maoyou Ye, Xiaoan Yan, Dong Jiang, et al.
Applied Soft Computing (2025), pp. 113053-113053
Closed Access
A Review of Remaining Useful Life Prediction Approaches for Mechanical Equipment
Yangyang Zhang, Liqing Fang, Ziyuan Qi, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 29991-30006
Closed Access | Times Cited: 13
A synchronization-induced cross-modal contrastive learning strategy for fault diagnosis of electromechanical systems under semi-supervised learning with current signal
Qinyuan Luo, Jinglong Chen, Yanyang Zi, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123801-123801
Closed Access | Times Cited: 4
CarNet: A generative convolutional neural network-based line-of-sight/non-line-of-sight classifier for global navigation satellite systems by transforming multivariate time-series data into images
Ni Zhu, Ruiwen He, Zhiqiang Wang
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110160-110160
Open Access
A Novel Bearing Fault Diagnosis Method Based on Improved Convolutional Neural Network and Multi-Sensor Fusion
Zhongyao Wang, Xiao Xu, Dongli Song, et al.
Machines (2025) Vol. 13, Iss. 3, pp. 216-216
Open Access
Cross-modal zero-sample diagnosis framework utilizing non-contact sensing data fusion
Sheng Li, Ke Feng, Yadong Xu, et al.
Information Fusion (2024) Vol. 110, pp. 102453-102453
Closed Access | Times Cited: 3
A deep learning approach for health monitoring in rotating machineries using vibrations and thermal features
Pauline Ong, Anelka John Koshy, Kee Huong Lai, et al.
Decision Analytics Journal (2024) Vol. 10, pp. 100399-100399
Open Access | Times Cited: 2
A Snapshot Multi-Spectral Demosaicing Method for Multi-Spectral Filter Array Images Based on Channel Attention Network
Xuejun Zhang, Yidan Dai, Geng Zhang, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 943-943
Open Access | Times Cited: 2
Research on fault diagnosis of rolling bearing based on improved convolutional neural network with sparrow search algorithm
Min Wan, Yujie Xiao, Jingran Zhang
Review of Scientific Instruments (2024) Vol. 95, Iss. 4
Open Access | Times Cited: 2
A Novel Cross-Domain Data Augmentation and Bearing Fault Diagnosis Method Based on an Enhanced Generative Model
Shilong Sun, Hao Ding, Haodong Huang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-9
Closed Access | Times Cited: 2
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