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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:

A Novel Deeper One-Dimensional CNN With Residual Learning for Fault Diagnosis of Wheelset Bearings in High-Speed Trains
Dandan Peng, Zhiliang Liu, Huan Wang, et al.
IEEE Access (2018) Vol. 7, pp. 10278-10293
Open Access | Times Cited: 224

Showing 76-100 of 224 citing articles:

Retrieval of daily sea ice thickness from AMSR2 passive microwave data using ensemble convolutional neural networks
Junhwa Chi, Hyun‐Cheol Kim
GIScience & Remote Sensing (2021) Vol. 58, Iss. 6, pp. 812-830
Open Access | Times Cited: 26
Bearing Fault Diagnosis of End‐to‐End Model Design Based on 1DCNN‐GRU Network
Liu Zhiwei
Discrete Dynamics in Nature and Society (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 17
Applications of Artificial Intelligence for Fault Diagnosis of Rotating Machines: A Review
Fasikaw Kibrete, Dereje Engida Woldemichael
(2023), pp. 41-62
Closed Access | Times Cited: 10
Identifying the serious clinical outcomes of adverse reactions to drugs by a multi-task deep learning framework
Haochen Zhao, Peng Ni, Qichang Zhao, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 10
A Novel Pipeline Corrosion Monitoring Method Based on Piezoelectric Active Sensing and CNN
Dan Yang, Xinyi Zhang, Ti Zhou, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 855-855
Open Access | Times Cited: 9
Self-Supervised Defect Representation Learning for Label-Limited Rail Surface Defect Detection
Yanggang Xu, Huan Wang, Zhiliang Liu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 23, pp. 29235-29246
Closed Access | Times Cited: 9
Elevator vibration signal denoising by deep residual U-Net
Pengdong Xie, Linxuan Zhang, Minghong Li, et al.
Measurement (2023) Vol. 225, pp. 113976-113976
Closed Access | Times Cited: 9
An Explainable and Lightweight Improved 1-D CNN Model for Vibration Signals of Rotating Machinery
Pengfei Pang, Jian Tang, Jiqing Luo, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 5, pp. 6976-6997
Open Access | Times Cited: 3
Tool Wear State Identification Based on the IWOA-VMD Feature Selection Method
Xing Shui, Zhijun Rong, Binbin Dan, et al.
Machines (2024) Vol. 12, Iss. 3, pp. 184-184
Open Access | Times Cited: 3
CVAE-DF: A hybrid deep learning framework for fertilization status detection of pre-incubation duck eggs based on VIS/NIR spectroscopy
Dongqiao Wang, Qiaohua Wang, Zhuoting Chen, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 320, pp. 124569-124569
Closed Access | Times Cited: 3
Condition Monitoring and Fault Diagnosis of Rotating Machinery Towards Intelligent Manufacturing: Review and Prospect
Hui Zhang, W Che, Youren Cao, et al.
Iranian Journal of Science and Technology Transactions of Mechanical Engineering (2024)
Closed Access | Times Cited: 3
Driver Facial Expression Analysis Using LFA-CRNN-Based Feature Extraction for Health-Risk Decisions
Chang‐Min Kim, Ellen J. Hong, Kyungyong Chung, et al.
Applied Sciences (2020) Vol. 10, Iss. 8, pp. 2956-2956
Open Access | Times Cited: 27
A Multistage Deep Transfer Learning Method for Machinery Fault Diagnostics Across Diverse Working Conditions and Devices
Jian Zhou, Lianyu Zheng, Yiwei Wang, et al.
IEEE Access (2020) Vol. 8, pp. 80879-80898
Open Access | Times Cited: 24
An end-to-end fault diagnostics method based on convolutional neural network for rotating machinery with multiple case studies
Yiwei Wang, Jian Zhou, Lianyu Zheng, et al.
Journal of Intelligent Manufacturing (2020) Vol. 33, Iss. 3, pp. 809-830
Closed Access | Times Cited: 24
An Intelligent Hybrid Scheme for Identification of Faults in Industrial Ball Screw Linear Motion Systems
Naveed Riaz, Syed Irtiza Ali Shah, Faisal Rehman, et al.
IEEE Access (2021) Vol. 9, pp. 35136-35150
Open Access | Times Cited: 22
Mapping Potential Plant Species Richness over Large Areas with Deep Learning, MODIS, and Species Distribution Models
Hyeyeong Choe, Junhwa Chi, James H. Thorne
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2490-2490
Open Access | Times Cited: 22
Diagnosis of unbalanced rolling bearing fault sample based on adaptive sparse contrative Auto-encoder and IGWO-USELM
Haiquan Song, Wengang Ma, Zhonghe Han, et al.
Measurement (2022) Vol. 198, pp. 111353-111353
Closed Access | Times Cited: 15
DSCNN-CAU: Deep-Learning-Based Mental Activity Classification for IoT Implementation Toward Portable BCI
Manali Saini, Udit Satija, Madhur Deo Upadhayay
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 10, pp. 8944-8957
Closed Access | Times Cited: 15
Gearbox fault diagnosis method based on deep learning multi-task framework
Yao Chen, Ruijun Liang, Wenfeng Ran, et al.
International Journal of Structural Integrity (2023) Vol. 14, Iss. 3, pp. 401-415
Closed Access | Times Cited: 8
A Novel Bearing Fault Diagnosis Methodology Based on SVD and One-Dimensional Convolutional Neural Network
Yangyang Wang, Shuzhan Huang, Juying Dai, et al.
Shock and Vibration (2020) Vol. 2020, pp. 1-17
Open Access | Times Cited: 22
Early Fault Detection Based on Wind Turbine SCADA Data Using Convolutional Neural Networks
Markus Ulmer, Eskil Jarlskog, Gianmarco Pizza, et al.
PHM Society European Conference (2020) Vol. 5, Iss. 1, pp. 9-9
Open Access | Times Cited: 21
Bearing fault diagnosis based on improved VMD and DCNN
Ran Wang, Lei Xu, Fengkai Liu
Journal of Vibroengineering (2020) Vol. 22, Iss. 5, pp. 1055-1068
Open Access | Times Cited: 21
Fault classification in the process industry using polygon generation and deep learning
Mohamed Elhefnawy, Ahmed Ragab, Mohamed-Salah Ouali
Journal of Intelligent Manufacturing (2021) Vol. 33, Iss. 5, pp. 1531-1544
Closed Access | Times Cited: 20
A Novel Intelligent Fault Diagnosis Method for Rolling Bearings Based on Wasserstein Generative Adversarial Network and Convolutional Neural Network under Unbalanced Dataset
Hongtao Tang, Shengbo Gao, Lei Wang, et al.
Sensors (2021) Vol. 21, Iss. 20, pp. 6754-6754
Open Access | Times Cited: 20
Deep Subdomain Transfer Learning with Spatial Attention ConvLSTM Network for Fault Diagnosis of Wheelset Bearing in High-Speed Trains
Jiujian Wang, Shaopu Yang, Yongqiang Liu, et al.
Machines (2023) Vol. 11, Iss. 2, pp. 304-304
Open Access | Times Cited: 7

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