Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 hybrid fine-tuned VMD and CNN scheme for untrained compound fault diagnosis of rotating machinery with unequal-severity faults
Ali Dibaj, Mir Mohammad Ettefagh, Reza Hassannejad, et al.
Expert Systems with Applications (2020) Vol. 167, pp. 114094-114094
Closed Access | Times Cited: 162

Showing 1-25 of 162 citing articles:

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
Weihua Li, Ruyi Huang, Jipu Li, et al.
Mechanical Systems and Signal Processing (2021) Vol. 167, pp. 108487-108487
Open Access | Times Cited: 523
Intelligent fault diagnosis of hydraulic piston pump combining improved LeNet-5 and PSO hyperparameter optimization
Yong Zhu, Guangpeng Li, Rui Wang, et al.
Applied Acoustics (2021) Vol. 183, pp. 108336-108336
Closed Access | Times Cited: 117
Intelligent fault identification of hydraulic pump using deep adaptive normalized CNN and synchrosqueezed wavelet transform
Shengnan Tang, Yong Zhu, Shouqi Yuan
Reliability Engineering & System Safety (2022) Vol. 224, pp. 108560-108560
Closed Access | Times Cited: 110
Acoustic signal-based fault detection of hydraulic piston pump using a particle swarm optimization enhancement CNN
Yong Zhu, Guangpeng Li, Shengnan Tang, et al.
Applied Acoustics (2022) Vol. 192, pp. 108718-108718
Closed Access | Times Cited: 89
Imbalanced bearing fault diagnosis under variant working conditions using cost-sensitive deep domain adaptation network
Zhenyu Wu, Hongkui Zhang, Juchuan Guo, et al.
Expert Systems with Applications (2022) Vol. 193, pp. 116459-116459
Closed Access | Times Cited: 83
An adaptive deep learning model towards fault diagnosis of hydraulic piston pump using pressure signal
Shengnan Tang, Yong Zhu, Shouqi Yuan
Engineering Failure Analysis (2022) Vol. 138, pp. 106300-106300
Closed Access | Times Cited: 76
Cross-sectional performance prediction of metal tubes bending with tangential variable boosting based on parameters-weight-adaptive CNN
Yongzhe Xiang, Zili Wang, Shuyou Zhang, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121465-121465
Closed Access | Times Cited: 68
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
Improving short-term offshore wind speed forecast accuracy using a VMD-PE-FCGRU hybrid model
Zhipeng Gong, Anping Wan, Yunsong Ji, et al.
Energy (2024) Vol. 295, pp. 131016-131016
Closed Access | Times Cited: 15
Incipient fault diagnosis of bearings based on parameter-optimized VMD and envelope spectrum weighted kurtosis index with a new sensitivity assessment threshold
Ali Dibaj, Reza Hassannejad, Mir Mohammad Ettefagh, et al.
ISA Transactions (2020) Vol. 114, pp. 413-433
Closed Access | Times Cited: 91
Multi-class fuzzy support matrix machine for classification in roller bearing fault diagnosis
Haiyang Pan, Haifeng Xu, Jinde Zheng, et al.
Advanced Engineering Informatics (2021) Vol. 51, pp. 101445-101445
Closed Access | Times Cited: 85
Enhanced generative adversarial network for extremely imbalanced fault diagnosis of rotating machine
Rugen Wang, Shaohui Zhang, Zhuyun Chen, et al.
Measurement (2021) Vol. 180, pp. 109467-109467
Closed Access | Times Cited: 77
Fault Detection of the Harmonic Reducer Based on CNN-LSTM With a Novel Denoising Algorithm
Zhuo Zhi, Liansheng Liu, Datong Liu, et al.
IEEE Sensors Journal (2021) Vol. 22, Iss. 3, pp. 2572-2581
Closed Access | Times Cited: 71
An interpretable data augmentation scheme for machine fault diagnosis based on a sparsity-constrained generative adversarial network
Liang Ma, Yu Ding, Zili Wang, et al.
Expert Systems with Applications (2021) Vol. 182, pp. 115234-115234
Closed Access | Times Cited: 61
Bearing Fault Event-Triggered Diagnosis Using a Variational Mode Decomposition-Based Machine Learning Approach
Houssem Habbouche, Yassine Amirat, Tarak Benkedjouh, et al.
IEEE Transactions on Energy Conversion (2021) Vol. 37, Iss. 1, pp. 466-474
Open Access | Times Cited: 60
Comparative study on deep transfer learning strategies for cross-system and cross-operation-condition building energy systems fault diagnosis
Guannan Li, Liang Chen, Jiangyan Liu, et al.
Energy (2022) Vol. 263, pp. 125943-125943
Closed Access | Times Cited: 59
Bearing fault diagnosis based on optimal convolution neural network
Yongjian Sun, Shaohui Li
Measurement (2022) Vol. 190, pp. 110702-110702
Closed Access | Times Cited: 57
A hybrid CNN-BiLSTM approach-based variational mode decomposition for tool wear monitoring
Rabah Bazi, Tarak Benkedjouh, Houssem Habbouche, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 119, Iss. 5-6, pp. 3803-3817
Closed Access | Times Cited: 53
Compound fault diagnosis for industrial robots based on dual-transformer networks
Chong Chen, Chao Liu, Tao Wang, et al.
Journal of Manufacturing Systems (2022) Vol. 66, pp. 163-178
Open Access | Times Cited: 47
A New Adversarial Domain Generalization Network Based on Class Boundary Feature Detection for Bearing Fault Diagnosis
Jingde Li, Changqing Shen, Lin Kong, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-9
Open Access | Times Cited: 42
Research on short-term photovoltaic power prediction based on multi-scale similar days and ESN-KELM dual core prediction model
Naiqing Li, Longhao Li, Fan Zhang, et al.
Energy (2023) Vol. 277, pp. 127557-127557
Closed Access | Times Cited: 31
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
Few-Shot Fault Diagnosis Method of Rotating Machinery Using Novel MCGM Based CNN
Gongye Yu, Peng Wu, Zhe Lv, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 11, pp. 10944-10955
Closed Access | Times Cited: 27
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
A Fault Diagnosis Method for Rolling Bearing Based on 1D-ViT Model
Pinghu Xu, Lijun Zhang
IEEE Access (2023) Vol. 11, pp. 39664-39674
Open Access | Times Cited: 23
Page 1 - Next Page

Scroll to top