
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 and visual interpretability of rotating machinery based on residual neural network
Shihang Yu, Min Wang, Shanchen Pang, et al.
Measurement (2022) Vol. 196, pp. 111228-111228
Closed Access | Times Cited: 56
Shihang Yu, Min Wang, Shanchen Pang, et al.
Measurement (2022) Vol. 196, pp. 111228-111228
Closed Access | Times Cited: 56
Showing 1-25 of 56 citing articles:
An improved GNN using dynamic graph embedding mechanism: A novel end-to-end framework for rolling bearing fault diagnosis under variable working conditions
Zidong Yu, Changhe Zhang, Chao Deng
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110534-110534
Closed Access | Times Cited: 54
Zidong Yu, Changhe Zhang, Chao Deng
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110534-110534
Closed Access | Times Cited: 54
An uncertainty perception metric network for machinery fault diagnosis under limited noisy source domain and scarce noisy unknown domain
Changdong Wang, Jingli Yang, Huamin Jie, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102682-102682
Closed Access | Times Cited: 30
Changdong Wang, Jingli Yang, Huamin Jie, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102682-102682
Closed Access | Times Cited: 30
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
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
Fault Diagnosis using eXplainable AI: A transfer learning-based approach for rotating machinery exploiting augmented synthetic data
Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, et al.
Expert Systems with Applications (2023) Vol. 232, pp. 120860-120860
Open Access | Times Cited: 36
Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, et al.
Expert Systems with Applications (2023) Vol. 232, pp. 120860-120860
Open Access | Times Cited: 36
Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings
Gang Wang, Dongdong Liu, Lingli Cui
IEEE Transactions on Reliability (2023) Vol. 73, Iss. 2, pp. 1270-1279
Closed Access | Times Cited: 24
Gang Wang, Dongdong Liu, Lingli Cui
IEEE Transactions on Reliability (2023) Vol. 73, Iss. 2, pp. 1270-1279
Closed Access | Times Cited: 24
Deep residual convolutional neural network based on hybrid attention mechanism for ecological monitoring of marine fishery
Jiangxun Liu, Lei Zhang, Yanfei Li, et al.
Ecological Informatics (2023) Vol. 77, pp. 102204-102204
Closed Access | Times Cited: 23
Jiangxun Liu, Lei Zhang, Yanfei Li, et al.
Ecological Informatics (2023) Vol. 77, pp. 102204-102204
Closed Access | Times Cited: 23
Hypertuned-YOLO for interpretable distribution power grid fault location based on EigenCAM
Stéfano Frizzo Stefenon, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, et al.
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 6, pp. 102722-102722
Open Access | Times Cited: 13
Stéfano Frizzo Stefenon, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, et al.
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 6, pp. 102722-102722
Open Access | Times Cited: 13
Multi-sensor signals multi-scale fusion method for fault detection of high-speed and high-power diesel engine under variable operating conditions
Jiaqi Liang, Zhiwei Mao, Fengchun Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106912-106912
Closed Access | Times Cited: 21
Jiaqi Liang, Zhiwei Mao, Fengchun Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106912-106912
Closed Access | Times Cited: 21
M-Net: a novel unsupervised domain adaptation framework based on multi-kernel maximum mean discrepancy for fault diagnosis of rotating machinery
Shihang Yu, Limei Song, Shanchen Pang, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 3, pp. 3259-3272
Open Access | Times Cited: 6
Shihang Yu, Limei Song, Shanchen Pang, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 3, pp. 3259-3272
Open Access | Times Cited: 6
TSoft-Net: A novel transfer soft thresholding network based on self-attention for intelligent fault diagnosis of rotating machinery
Shihang Yu, Shanchen Pang, Limei Song, et al.
Measurement (2024) Vol. 227, pp. 114237-114237
Closed Access | Times Cited: 5
Shihang Yu, Shanchen Pang, Limei Song, et al.
Measurement (2024) Vol. 227, pp. 114237-114237
Closed Access | Times Cited: 5
MR-FuSN: A Multi-Resolution Selective Fusion Approach for Bearing Fault Diagnosis
Lin Sha, S.M. Tang, Min Wang, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1134-1134
Open Access
Lin Sha, S.M. Tang, Min Wang, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1134-1134
Open Access
Numerical simulation of gears for fault detection using artificial intelligence models
Hui Wang, Ronggang Yang, Jiawei Xiang
Measurement (2022) Vol. 203, pp. 111898-111898
Closed Access | Times Cited: 25
Hui Wang, Ronggang Yang, Jiawei Xiang
Measurement (2022) Vol. 203, pp. 111898-111898
Closed Access | Times Cited: 25
Interpretable multi-domain meta-transfer learning for few-shot fault diagnosis of rolling bearing under variable working conditions
Changchang Che, Yuli Zhang, Huawei Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076103-076103
Closed Access | Times Cited: 4
Changchang Che, Yuli Zhang, Huawei Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076103-076103
Closed Access | Times Cited: 4
Intelligent fault diagnosis method for rotating machinery based on sample multirepresentation information fusion under limited labeled samples conditions
Xin Yang, Xinsheng Cao, Jiangbin Zhao, et al.
Measurement (2025), pp. 117164-117164
Closed Access
Xin Yang, Xinsheng Cao, Jiangbin Zhao, et al.
Measurement (2025), pp. 117164-117164
Closed Access
Deep learning-based model to classify mastitis in Holstein dairy cows
M. X. Chu, Yongsheng Si, Qian Li, et al.
Biosystems Engineering (2025) Vol. 252, pp. 92-104
Closed Access
M. X. Chu, Yongsheng Si, Qian Li, et al.
Biosystems Engineering (2025) Vol. 252, pp. 92-104
Closed Access
Analysis of Interpretability and Generalizability for Power Converter Fault Diagnosis Based on Temporal Convolutional Networks
Tongyang Ren, Tao Han, Qun Guo, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 12
Tongyang Ren, Tao Han, Qun Guo, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 12
Improving Accuracy and Interpretability of CNN-Based Fault Diagnosis through an Attention Mechanism
Yubiao Huang, Jiaqing Zhang, Rui Liu, et al.
Processes (2023) Vol. 11, Iss. 11, pp. 3233-3233
Open Access | Times Cited: 10
Yubiao Huang, Jiaqing Zhang, Rui Liu, et al.
Processes (2023) Vol. 11, Iss. 11, pp. 3233-3233
Open Access | Times Cited: 10
A grid fault diagnosis framework based on adaptive integrated decomposition and cross-modal attention fusion
Jiangxun Liu, Zhu Duan, Hui Liu
Neural Networks (2024) Vol. 178, pp. 106400-106400
Closed Access | Times Cited: 3
Jiangxun Liu, Zhu Duan, Hui Liu
Neural Networks (2024) Vol. 178, pp. 106400-106400
Closed Access | Times Cited: 3
Enhancing Reliability Through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery
Gang Chen, Junlin Yuan, Yiyue Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 103348-103379
Open Access | Times Cited: 3
Gang Chen, Junlin Yuan, Yiyue Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 103348-103379
Open Access | Times Cited: 3
A novel wind turbine fault diagnosis method based on compressive sensing and lightweight SqueezeNet model
Tongming Jian, Jianbin Cao, W.Y. Liu, et al.
Expert Systems with Applications (2024), pp. 125440-125440
Closed Access | Times Cited: 3
Tongming Jian, Jianbin Cao, W.Y. Liu, et al.
Expert Systems with Applications (2024), pp. 125440-125440
Closed Access | Times Cited: 3
A Stackelberg game scheme for pricing and task offloading based on idle node-assisted edge computational model
Shanchen Pang, Xiao He, Shihang Yu, et al.
Simulation Modelling Practice and Theory (2023) Vol. 124, pp. 102725-102725
Closed Access | Times Cited: 10
Shanchen Pang, Xiao He, Shihang Yu, et al.
Simulation Modelling Practice and Theory (2023) Vol. 124, pp. 102725-102725
Closed Access | Times Cited: 10
scTransSort: Transformers for Intelligent Annotation of Cell Types by Gene Embeddings
Linfang Jiao, Gan Wang, Huanhuan Dai, et al.
Biomolecules (2023) Vol. 13, Iss. 4, pp. 611-611
Open Access | Times Cited: 9
Linfang Jiao, Gan Wang, Huanhuan Dai, et al.
Biomolecules (2023) Vol. 13, Iss. 4, pp. 611-611
Open Access | Times Cited: 9
Modeling and diagnosis of water quality parameters in wastewater treatment process based on improved particle swarm optimization and self-organizing neural network
Hongliang Dai, Xingyu Liu, Jinkun Zhao, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 4, pp. 113142-113142
Closed Access | Times Cited: 3
Hongliang Dai, Xingyu Liu, Jinkun Zhao, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 4, pp. 113142-113142
Closed Access | Times Cited: 3
ANC-Net: A novel multi-scale active noise cancellation network for rotating machinery fault diagnosis based on discrete wavelet transform
Shihang Yu, Shanchen Pang, J. Ning, et al.
Expert Systems with Applications (2024), pp. 125937-125937
Closed Access | Times Cited: 3
Shihang Yu, Shanchen Pang, J. Ning, et al.
Expert Systems with Applications (2024), pp. 125937-125937
Closed Access | Times Cited: 3
Predicting potential small molecule–miRNA associations utilizing truncated schatten p-norm
Shudong Wang, Tiyao Liu, Chuanru Ren, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 7
Shudong Wang, Tiyao Liu, Chuanru Ren, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 7