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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:

Intelligent Fault Diagnosis for Large-Scale Rotating Machines Using Binarized Deep Neural Networks and Random Forests
Huifang Li, Guangzheng Hu, Jianqiang Li, et al.
IEEE Transactions on Automation Science and Engineering (2021) Vol. 19, Iss. 2, pp. 1109-1119
Closed Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Real-Time Sensing and Fault Diagnosis for Transmission Lines
Fatemeh Mohammadi Shakiba, Milad Shojaee, S. Mohsen Azizi, et al.
International Journal of Network Dynamics and Intelligence (2022), pp. 36-47
Open Access | Times Cited: 108
Diversified Regularization Enhanced Training for Effective Manipulator Calibration
Zhibin Li, Shuai Li, Omaimah Bamasag, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 11, pp. 8778-8790
Closed Access | Times Cited: 76
A survey of transfer learning for machinery diagnostics and prognostics
Siya Yao, Qi Kang, MengChu Zhou, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 4, pp. 2871-2922
Closed Access | Times Cited: 74
Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review
Shaohua Qiu, Xiaopeng Cui, Zuowei Ping, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1305-1305
Open Access | Times Cited: 63
Adaptive Privacy-Preserving Federated Learning for Fault Diagnosis in Internet of Ships
Zehui Zhang, Cong Guan, Hui Chen, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 9, pp. 6844-6854
Closed Access | Times Cited: 71
A convolutional neural network method based on Adam optimizer with power-exponential learning rate for bearing fault diagnosis
Youming Wang, Zhao Xiao, Gongqing Cao
Journal of Vibroengineering (2022) Vol. 24, Iss. 4, pp. 666-678
Open Access | Times Cited: 46
Reviewing methods of deep learning for intelligent healthcare systems in genomics and biomedicine
Imran Zafar, Shakila Anwar, Faheem kanwal, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105263-105263
Closed Access | Times Cited: 31
Multi-sensor open-set cross-domain intelligent diagnostics for rotating machinery under variable operating conditions
Yongchao Zhang, Jinchen Ji, Zhaohui Ren, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110172-110172
Closed Access | Times Cited: 24
Advanced AIoT for failure classification of industrial diesel generators based hybrid deep learning CNN-BiLSTM algorithm
Phuong Nguyen Thanh, Ming-Yuan Cho
Advanced Engineering Informatics (2024) Vol. 62, pp. 102644-102644
Closed Access | Times Cited: 8
DNN Deployment, Task Offloading, and Resource Allocation for Joint Task Inference in IIoT
Wenhao Fan, Zeyu Chen, Zhibo Hao, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 2, pp. 1634-1646
Closed Access | Times Cited: 33
Artificial intelligence of things based approach for anomaly detection in rotating machines
Tauheed Mian, Anurag Choudhary, Shahab Fatima, et al.
Computers & Electrical Engineering (2023) Vol. 109, pp. 108760-108760
Closed Access | Times Cited: 20
Self-Supervised-Enabled Open-Set Cross-Domain Fault Diagnosis Method for Rotating Machinery
Li Wang, Yiping Gao, Xinyu Li, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 8, pp. 10314-10324
Closed Access | Times Cited: 5
Predictive Monitoring of Incipient Faults in Rotating Machinery: A Systematic Review from Data Acquisition to Artificial Intelligence
Kanika Saini, S. S. Dhami, Vanraj
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 6, pp. 4005-4026
Closed Access | Times Cited: 23
Health State Identification Method of Nuclear Power Main Circulating Pump Based on EEMD and OQGA-SVM
Zhilong Liu, Minggang Li, Zhifeng Zhu, et al.
Electronics (2023) Vol. 12, Iss. 2, pp. 410-410
Open Access | Times Cited: 14
A structurally re-parameterized convolution neural network-based method for gearbox fault diagnosis in edge computing scenarios
Yanzhi Wang, Jinhong Wu, Ziyang Yu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107091-107091
Closed Access | Times Cited: 14
Fusing multichannel autoencoders with dynamic global loss for self-supervised fault diagnosis
Chuan Li, Manjun Xiong, Hongmeng Shen, et al.
Computers in Industry (2024) Vol. 164, pp. 104165-104165
Closed Access | Times Cited: 3
Evolving Container to Unikernel for Edge Computing and Applications in Process Industry
Shichao Chen, MengChu Zhou
Processes (2021) Vol. 9, Iss. 2, pp. 351-351
Open Access | Times Cited: 25
Two new kurtosis-based similarity evaluation indicators for grinding chatter diagnosis under non-stationary working conditions
Liming Wang, Jiangli Pan, Yimin Shao, et al.
Measurement (2021) Vol. 176, pp. 109215-109215
Closed Access | Times Cited: 23
Real-Time Fault Diagnosis of Motor Bearing via Improved Cyclostationary Analysis Implemented onto Edge Computing System
Changbo He, Pengpeng Han, Jingfeng Lu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 9
A Robust Mean-Field Actor-Critic Reinforcement Learning Against Adversarial Perturbations on Agent States
Ziyuan Zhou, Guanjun Liu, MengChu Zhou
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 14370-14381
Open Access | Times Cited: 7
Empowering intelligent manufacturing with edge computing: A portable diagnosis and distance localization approach for bearing faults
Hairui Fang, Jialin An, Bo Sun, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102246-102246
Closed Access | Times Cited: 7
Improving Classification Performance in Dendritic Neuron Models through Practical Initialization Strategies
Xiaohao Wen, MengChu Zhou, Aiiad Albeshri, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1729-1729
Open Access | Times Cited: 2
A Deployment Method for Motor Fault Diagnosis Application Based on Edge Intelligence
Zheng Zhou, Yusong Qiao, Xusheng Lin, et al.
Sensors (2024) Vol. 25, Iss. 1, pp. 9-9
Open Access | Times Cited: 2
Fault Detection and Diagnosis in Industry 4.0: A Review on Challenges and Opportunities
Dênis Leite, E. A. B. Santos, Diego Rátiva, et al.
Sensors (2024) Vol. 25, Iss. 1, pp. 60-60
Open Access | Times Cited: 2
Alzheimer's classification using dynamic ensemble of classifiers selection algorithms: A performance analysis
Muhammed Niyas K. P., P. Thiyagarajan
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102729-102729
Closed Access | Times Cited: 17
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