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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:

Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions
Sai Ma, Fulei Chu, Qinkai Han
Mechanical Systems and Signal Processing (2019) Vol. 127, pp. 190-201
Closed Access | Times Cited: 102

Showing 26-50 of 102 citing articles:

Weighted quantile discrepancy-based deep domain adaptation network for intelligent fault diagnosis
Zhenhua Fan, Qifa Xu, Cuixia Jiang, et al.
Knowledge-Based Systems (2022) Vol. 240, pp. 108149-108149
Closed Access | Times Cited: 31
Deep residual networks-based intelligent fault diagnosis method of planetary gearboxes in cloud environments
Xinghua Huang, Guanqiu Qi, Neal Mazur, et al.
Simulation Modelling Practice and Theory (2022) Vol. 116, pp. 102469-102469
Closed Access | Times Cited: 30
GMA-DRSNs: A novel fault diagnosis method with global multi-attention deep residual shrinkage networks
Zhijin Zhang, Lei Chen, Chunlei Zhang, et al.
Measurement (2022) Vol. 196, pp. 111203-111203
Closed Access | Times Cited: 28
Sparse representation learning for fault feature extraction and diagnosis of rotating machinery
Sai Ma, Qinkai Han, Fulei Chu
Expert Systems with Applications (2023) Vol. 232, pp. 120858-120858
Closed Access | Times Cited: 21
Application of Time-Frequency Analysis in Rotating Machinery Fault Diagnosis
Yihao Bai, Weidong Cheng, Weigang Wen, et al.
Shock and Vibration (2023) Vol. 2023, pp. 1-16
Open Access | Times Cited: 17
Transferable common feature space mining for fault diagnosis with imbalanced data
Na Lü, Tao Yin
Mechanical Systems and Signal Processing (2021) Vol. 156, pp. 107645-107645
Closed Access | Times Cited: 40
A novel structural damage identification method based on the acceleration responses under ambient vibration and an optimized deep residual algorithm
Osama Al-Azzawi, Dansheng Wang
Structural Health Monitoring (2022) Vol. 21, Iss. 6, pp. 2587-2617
Closed Access | Times Cited: 26
A Wasserstein generative digital twin model in health monitoring of rotating machines
Wenyang Hu, Tianyang Wang, Fulei Chu
Computers in Industry (2022) Vol. 145, pp. 103807-103807
Closed Access | Times Cited: 24
Incipient fault detection of planetary gearbox under steady and varying condition
Jiayang Liu, Qiang Zhang, Fuqi Xie, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 121003-121003
Closed Access | Times Cited: 14
A novel hierarchical structural pruning-multiscale feature fusion residual network for intelligent fault diagnosis
Yiwei Cheng, Xinnuo Lin, Haiping Zhu, et al.
Mechanism and Machine Theory (2023) Vol. 184, pp. 105292-105292
Closed Access | Times Cited: 13
Fault Diagnosis of Rotating Machinery Based on the Improved Multidimensional Normalization ResNet
Changbo He, Yujie Cao, Yang Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 13
Fault Diagnosis of Wind Turbine Gearbox Based on Deep Bi-Directional Long Short-Term Memory Under Time-Varying Non-Stationary Operating Conditions
Lixiao Cao, Zheng Qian, Hamidreza Zareipour, et al.
IEEE Access (2019) Vol. 7, pp. 155219-155228
Open Access | Times Cited: 38
AKRNet: A novel convolutional neural network with attentive kernel residual learning for feature learning of gearbox vibration signals
Zhuang Ye, Jianbo Yu
Neurocomputing (2021) Vol. 447, pp. 23-37
Closed Access | Times Cited: 30
Enhanced Sparse Low-Rank Representation via Nonconvex Regularization for Rotating Machinery Early Fault Feature Extraction
Li Wang, Sai Ma, Qinkai Han
IEEE/ASME Transactions on Mechatronics (2022) Vol. 27, Iss. 5, pp. 3570-3578
Closed Access | Times Cited: 21
A deep bi-directional long short-term memory model for automatic rotating speed extraction from raw vibration signals
Meng Rao, Qing Li, Dongdong Wei, et al.
Measurement (2020) Vol. 158, pp. 107719-107719
Closed Access | Times Cited: 28
Transfer learning for bearing performance degradation assessment based on deep hierarchical features
Shuzhi Dong, Guangrui Wen, Zihao Lei, et al.
ISA Transactions (2020) Vol. 108, pp. 343-355
Closed Access | Times Cited: 27
A novel adversarial transfer learning in deep convolutional neural network for intelligent diagnosis of gas‐insulated switchgear insulation defect
Yanxin Wang, Jing Yan, Qianzhen Jing, et al.
IET Generation Transmission & Distribution (2021) Vol. 15, Iss. 23, pp. 3229-3241
Open Access | Times Cited: 24
A novel method for transformer fault diagnosis based on refined deep residual shrinkage network
Hao Hu, Xin Ma, Yizi Shang
IET Electric Power Applications (2021) Vol. 16, Iss. 2, pp. 206-223
Closed Access | Times Cited: 24
A deep transferable motion-adaptive fault detection method for industrial robots using a residual–convolutional neural network
Yeongtak Oh, Yunhan Kim, Kyumin Na, et al.
ISA Transactions (2021) Vol. 128, pp. 521-534
Closed Access | Times Cited: 24
Damage identification using the PZT impedance signals and residual learning algorithm
Osama Al-Azzawi, Dansheng Wang
Journal of Civil Structural Health Monitoring (2021) Vol. 11, Iss. 5, pp. 1225-1238
Closed Access | Times Cited: 23
Deep Spiking Residual Shrinkage Network for Bearing Fault Diagnosis
Zongtang Xu, Yumei Ma, Zhenkuan Pan, et al.
IEEE Transactions on Cybernetics (2022) Vol. 54, Iss. 3, pp. 1608-1613
Closed Access | Times Cited: 16
Fueling the future: Exploring the synergy of artificial intelligence-based algorithms and the use of biofuels in engine development
Somya Patnaik, Narendra Khatri, Eldon R. Rene
Journal of the Taiwan Institute of Chemical Engineers (2024), pp. 105729-105729
Open Access | Times Cited: 3
Adaptive Densely Connected Convolutional Auto-Encoder-Based Feature Learning of Gearbox Vibration Signals
Mengqi Miao, Changhui Liu, Jianbo Yu
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-11
Closed Access | Times Cited: 26
Deep-Learning and Vibration-Based System for Wear Size Estimation of Railway Switches and Crossings
Taoufik Najeh, Jan Lundberg, Abdelfateh Kerrouche
Sensors (2021) Vol. 21, Iss. 15, pp. 5217-5217
Open Access | Times Cited: 22
Multi-Objective Instance Weighting-Based Deep Transfer Learning Network for Intelligent Fault Diagnosis
Kihoon Lee, Soonyoung Han, Van Huan Pham, et al.
Applied Sciences (2021) Vol. 11, Iss. 5, pp. 2370-2370
Open Access | Times Cited: 21

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