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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:

Fusion Domain-Adaptation CNN Driven by Images and Vibration Signals for Fault Diagnosis of Gearbox Cross-Working Conditions
Gang Mao, Zhongzheng Zhang, Bin Qiao, et al.
Entropy (2022) Vol. 24, Iss. 1, pp. 119-119
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

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
Multi-modal data cross-domain fusion network for gearbox fault diagnosis under variable operating conditions
Yongchao Zhang, Jinliang Ding, Yongbo Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108236-108236
Closed Access | Times Cited: 41
Research on Damage Detection Methods for Concrete Beams Based on Ground Penetrating Radar and Convolutional Neural Networks
Ning Liu, Ya Ge, Xin Bai, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1882-1882
Open Access | Times Cited: 1
Intelligent fault diagnosis of helical gearboxes with compressive sensing based non-contact measurements
Xiaoli Tang, Yuandong Xu, Xiuquan Sun, et al.
ISA Transactions (2022) Vol. 133, pp. 559-574
Open Access | Times Cited: 45
MMFNet: Multisensor Data and Multiscale Feature Fusion Model for Intelligent Cross-Domain Machinery Fault Diagnosis
Yongchao Zhang, Ke Feng, Hui Ma, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 40
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
Intelligent Fault Diagnosis of Rolling Bearings Using Efficient and Lightweight ResNet Networks Based on an Attention Mechanism (September 2022)
Meng Chang, Dechen Yao, Jianwei Yang
IEEE Sensors Journal (2023) Vol. 23, Iss. 9, pp. 9136-9145
Closed Access | Times Cited: 27
Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research
Han Peng, Songyin Li, Linjian Shangguan, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 8333-8333
Open Access | Times Cited: 26
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
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 bearing fault diagnosis using dual-path convolutional neural networks and multi-parallel graph convolutional networks
Zhang Yong, Songzhao Zhang, Yuhao Zhu, et al.
ISA Transactions (2024) Vol. 152, pp. 129-142
Closed Access | Times Cited: 6
Predicting 3D printed plastic part properties: A deep learning approach with thermographic and vibration data fusion
Ahmed Shany Khusheef, Mohammad Shahbazi, Ramin Hashemi
Expert Systems with Applications (2024) Vol. 255, pp. 124605-124605
Closed Access | Times Cited: 5
Envelope spectrum neural network with adaptive domain weight harmonization for intelligent bearing fault diagnosis under cross-machine scenarios
Feiyu Lu, Qingbin Tong, Xuedong Jiang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102787-102787
Closed Access | Times Cited: 5
Research on Concrete Beam Damage Detection Using Convolutional Neural Networks and Vibrations from ABAQUS Models and Computer Vision
Xin Bai, Zi Zhang
Buildings (2025) Vol. 15, Iss. 2, pp. 220-220
Open Access
Image deep learning in fault diagnosis of mechanical equipment
Chuanhao Wang, Yongjian Sun, Xiaohong Wang
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 6, pp. 2475-2515
Closed Access | Times Cited: 13
A Novel Weak Feature Extraction Method for Rotating Machinery: Link Dispersion Entropy
Li Ding, Jinchen Ji, Yongbo Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 12
Transformer-Enabled Cross-Domain Diagnostics for Complex Rotating Machinery With Multiple Sensors
Yongchao Zhang, Zhaohui Ren, Ke Feng, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 28, Iss. 4, pp. 2293-2304
Closed Access | Times Cited: 11
Adversarial Deep Transfer Learning in Fault Diagnosis: Progress, Challenges, and Future Prospects
Yu Guo, Jundong Zhang, Bin Sun, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7263-7263
Open Access | Times Cited: 9
Delay-and-Sum Beamforming-Based Spatial Mapping for Multisource Sound Localization
Changjiang He, Siyao Cheng, Rong Zheng, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 9, pp. 16048-16060
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 review on adversarial–based deep transfer learning mechanical fault diagnosis
Yu Guo, Ziyi Cheng, Jundong Zhang, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open 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
Application of Pearson Diversity Entropy as Prognostic Measure of Rotating Machinery
Xinyue Wang, Khandaker Noman, Hui Li, et al.
Lecture notes in networks and systems (2024), pp. 519-527
Closed Access | Times Cited: 1
Fault causes identification of rotating machinery based on multiphase zoom permutation entropy
Chenyang Ma, Xianzhi Wang, Yongbo Li, et al.
Measurement (2023) Vol. 225, pp. 114028-114028
Closed Access | Times Cited: 2
Fault Diagnosis of Rotor-bearing System under Time-varying Speeds by Using Dual-threshold Attention-embedded GAN and Small Samples
HAO Haidong, Wei Li, Yi Liu, et al.
Journal of Mechanical Engineering (2023) Vol. 59, Iss. 12, pp. 215-215
Open Access | Times Cited: 2
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