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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:

Non-contact diagnosis for gearbox based on the fusion of multi-sensor heterogeneous data
Dingyi Sun, Yongbo Li, Sixiang Jia, et al.
Information Fusion (2023) Vol. 94, pp. 112-125
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis
Xingxing Jiang, Xuegang Li, Qian Wang, et al.
Information Fusion (2023) Vol. 101, pp. 102005-102005
Closed Access | Times Cited: 50
Multi-sensor fusion fault diagnosis method of wind turbine bearing based on adaptive convergent viewable neural networks
Xinming Li, Yanxue Wang, Jiachi Yao, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109980-109980
Closed Access | Times Cited: 33
An information fusion-based meta transfer learning method for few-shot fault diagnosis under varying operating conditions
Cuiying Lin, Yun Kong, Qinkai Han, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111652-111652
Closed Access | Times Cited: 17
FEV-Swin: Multi-source heterogeneous information fusion under a variant swin transformer framework for intelligent cross-domain fault diagnosis
Keyi Zhou, Keyi Zhou, Bin Jiang, et al.
Knowledge-Based Systems (2025), pp. 112982-112982
Closed Access | Times Cited: 2
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
Multivariate multiscale dispersion Lempel–Ziv complexity for fault diagnosis of machinery with multiple channels
Shun Wang, Yongbo Li, Khandaker Noman, et al.
Information Fusion (2023) Vol. 104, pp. 102152-102152
Closed Access | Times Cited: 23
Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosis
Dingyi Sun, Yongbo Li, Zheng Liu, et al.
Information Fusion (2024) Vol. 108, pp. 102394-102394
Closed Access | Times Cited: 12
CDTFAFN: A novel coarse-to-fine dual-scale time-frequency attention fusion network for machinery vibro-acoustic fault diagnosis
Xiaoan Yan, Dong Jiang, Ling Xiang, et al.
Information Fusion (2024) Vol. 112, pp. 102554-102554
Closed Access | Times Cited: 11
MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios
Maoyou Ye, Xiaoan Yan, Xing Hua, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125214-125214
Closed Access | Times Cited: 11
MST-GAT: A multi-perspective spatial-temporal graph attention network for multi-sensor equipment remaining useful life prediction
Liang Zhou, Huawei Wang
Information Fusion (2024) Vol. 110, pp. 102462-102462
Closed Access | Times Cited: 8
Stockwell transform spectral amplitude modulation method for rotating machinery fault diagnosis
Wanming Ying, Yongbo Li, Khandaker Noman, et al.
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111884-111884
Closed Access | Times Cited: 7
Towards trustworthy remaining useful life prediction through multi-source information fusion and a novel LSTM-DAU model
Rui Bai, Khandaker Noman, Yu Yang, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110047-110047
Closed Access | Times Cited: 7
Cross-Domain Compound Fault Diagnosis of Machine-Level Motors via Time–Frequency Self-Contrastive Learning
Yiming He, Chao Zhao, Weiming Shen
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 7, pp. 9692-9701
Closed Access | Times Cited: 5
Scraper conveyor gearbox fault diagnosis based on multi-source heterogeneous data fusion
Long Feng, Zeyu Ding, Yibing Yin, et al.
Measurement (2025), pp. 116797-116797
Closed Access
Transparent information fusion network: An explainable network for multi-source bearing fault diagnosis via self-organized neural-symbolic nodes
Qi Li, Lichang Qin, Haifeng Xu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103156-103156
Closed Access
Multi-source information fusion based fault diagnosis for complex electromechanical equipment considering replacement parts
X. Yao, Zhichao Feng, Xiangyu Kong, et al.
Chinese Journal of Aeronautics (2025), pp. 103420-103420
Open Access
A vibro-acoustic signals hybrid fusion model for blade crack detection
Tianchi Ma, Junxian Shen, Di Song, et al.
Mechanical Systems and Signal Processing (2023) Vol. 204, pp. 110815-110815
Closed Access | Times Cited: 9
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 Rotating Machinery Fault Diagnosis Method Based on Dynamic Graph Convolution Network and Hard Threshold Denoising
Qiting Zhou, Longxian Xue, Jie He, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 4887-4887
Open 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 Novel Multi-Sensor Hybrid Fusion Framework
Haoran Du, Qi Wang, Xunan Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086105-086105
Closed Access | Times Cited: 2
Multitask Learning Based Collaborative Modeling of Heterogeneous Data for Compound Fault Diagnosis in Manufacturing Processes
Liang Ma, Pingping Yang, Kaixiang Peng
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 12, pp. 14174-14183
Closed Access | Times Cited: 2
Evaluation model of aluminum electrolysis cell condition based on multi-source heterogeneous data fusion
Yubo Sun, Weihua Gui, Xiaofang Chen, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 4, pp. 1375-1396
Closed Access | Times Cited: 6
Rolling mill fault diagnosis under limited datasets
Junjie He, Peiming Shi, Xuefang Xu, et al.
Knowledge-Based Systems (2024) Vol. 291, pp. 111579-111579
Closed Access | Times Cited: 1
CFSPT: A lightweight cross-machine model for compound fault diagnosis of machine-level motors
Yiming He, Weiming Shen
Information Fusion (2024) Vol. 111, pp. 102490-102490
Closed Access | Times Cited: 1
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