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:

Knowledge and data dual-driven transfer network for industrial robot fault diagnosis
Tao Yin, Na Lü, Guangshuai Guo, et al.
Mechanical Systems and Signal Processing (2022) Vol. 182, pp. 109597-109597
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

A multi-source domain information fusion network for rotating machinery fault diagnosis under variable operating conditions
Tianyu Gao, Jingli Yang, Qing Tang
Information Fusion (2024) Vol. 106, pp. 102278-102278
Closed Access | Times Cited: 56

Prediction of NOx emission concentration from coal-fired power plant based on joint knowledge and data driven
Zheng Wu, Yue Zhang, Ze Dong
Energy (2023) Vol. 271, pp. 127044-127044
Closed Access | Times Cited: 36

IDSN: A one-stage interpretable and differentiable STFT domain adaptation network for traction motor of high-speed trains cross-machine diagnosis
Chao He, Hongmei Shi, Jianbo Li
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110846-110846
Closed Access | Times Cited: 28

Prognostics and Health Management of Rotating Machinery of Industrial Robot with Deep Learning Applications—A Review
Prashant Kumar, Salman Khalid, Heung Soo Kim
Mathematics (2023) Vol. 11, Iss. 13, pp. 3008-3008
Open Access | Times Cited: 25

Knowledge Embedded Autoencoder Network for Harmonic Drive Fault Diagnosis Under Few-Shot Industrial Scenarios
Jiaxian Chen, Kairu Wen, Jingyan Xia, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22915-22925
Closed Access | Times Cited: 15

Sound-vibration spectrogram fusion method for diagnosis of RV reducers in industrial robots
Yuting Qiao, Hongbo Wang, Junyi Cao, et al.
Mechanical Systems and Signal Processing (2024) Vol. 214, pp. 111411-111411
Closed Access | Times Cited: 8

Multiple Source-Free Domain Adaptation Network Based on Knowledge Distillation for Machinery Fault Diagnosis
Ke Yue, Jipu Li, Zhuyun Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 21

Data and domain knowledge dual‐driven artificial intelligence: Survey, applications, and challenges
Jing Nie, Jiachen Jiang, Yang Li, et al.
Expert Systems (2023) Vol. 42, Iss. 1
Open Access | Times Cited: 21

Generating risk response measures for subway construction by fusion of knowledge and deep learning
Hong Zhou, Shilong Tang, Wen Huang, et al.
Automation in Construction (2023) Vol. 152, pp. 104951-104951
Open Access | Times Cited: 20

Digital twin-driven prognostics and health management for industrial assets
Bin Xiao, Jingshu Zhong, Xiangyu Bao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7

An auto-regulated universal domain adaptation network for uncertain diagnostic scenarios of rotating machinery
Jipu Li, Xiaoge Zhang, Ke Yue, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123836-123836
Closed Access | Times Cited: 6

Transfer Learning for Prognostics and Health Management: Advances, Challenges, and Opportunities
Ruqiang Yan, Weihua Li, Siliang Lu, et al.
Journal of Dynamics Monitoring and Diagnostics (2024)
Open Access | Times Cited: 5

Envelope spectrum neural network with adaptive domain weight harmonization for intelligent bearing fault diagnosis under cross-machine scenarios
Feiyu Lu, Qingbin Tong, Xuedong Jiang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102787-102787
Closed Access | Times Cited: 5

A variable‐speed‐condition fault diagnosis method for crankshaft bearing in the RV reducer with WSO‐VMD and ResNet‐SWIN
Guangqi Qiu, Yu Nie, Yulong Peng, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 5, pp. 2321-2347
Closed Access | Times Cited: 4

KDN: A class-added continual learning framework for cross-machine fault diagnosis with limited samples
Jipu Li, Ke Yue, Zhaoqian Wu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 227, pp. 112379-112379
Closed Access

An adaptive source-free unsupervised domain adaptation method for mechanical fault detection
Jianing Liu, Hongrui Cao, Jaspreet Singh Dhupia, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112475-112475
Closed Access

Fault Types and Diagnostic Methods of Manipulator Robots: A Review
Yue-Peng Zhang, Jun Wu, Bo Gao, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1716-1716
Open Access

A Novel Prototype-Assisted Contrastive Adversarial Network for Weak-Shot Learning With Applications: Handling Weakly Labeled Data
Chuang Wang, Zidong Wang, Hongli Dong
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 1, pp. 533-543
Closed Access | Times Cited: 9

Model-based health monitoring of rotate-vector reducers in robot manipulators
Huan Liu, Mohammad Reza Sarmasti Emami, Yaguo Lei
Mechatronics (2024) Vol. 99, pp. 103162-103162
Closed Access | Times Cited: 3

An Optimal Unsupervised Domain Adaptation Approach With Applications to Pipeline Fault Diagnosis: Balancing Invariance and Variance
Chuang Wang, Zidong Wang, Hongjian Liu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 8, pp. 10019-10030
Closed Access | Times Cited: 3

A meta transfer learning method for gearbox fault diagnosis with limited data
Daoming She, Zhichao Yang, Yudan Duan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086114-086114
Closed Access | Times Cited: 3

MBRB: Micro-belief rule Base model based on cautious conjunctive rule for interpretable fault diagnosis
Chunchao Zhang, Zhijie Zhou, Pengyun Ning, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108598-108598
Closed Access | Times Cited: 3

Multi-Sensor Temporal-Spatial Graph Network Fusion Empirical Mode Decomposition Convolution for Machine Fault Diagnosis
Kuangchi Sun, Aijun Yin
Information Fusion (2024), pp. 102708-102708
Closed Access | Times Cited: 3

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