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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 of mechanical equipment under varying working condition via iterative matching network augmented with selective Signal reuse strategy
Kaiyu Zhang, Jinglong Chen, Tianci Zhang, et al.
Journal of Manufacturing Systems (2020) Vol. 57, pp. 400-415
Closed Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions
Tianci Zhang, Jinglong Chen, Fudong Li, et al.
ISA Transactions (2021) Vol. 119, pp. 152-171
Closed Access | Times Cited: 368
Unsupervised domain-share CNN for machine fault transfer diagnosis from steady speeds to time-varying speeds
Hongru Cao, Haidong Shao, Xiang Zhong, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 186-198
Closed Access | Times Cited: 207
Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects
Yong Feng, Jinglong Chen, Jingsong Xie, et al.
Knowledge-Based Systems (2021) Vol. 235, pp. 107646-107646
Closed Access | Times Cited: 164
Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals
Jian Lin, Haidong Shao, Xiangdong Zhou, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120696-120696
Open Access | Times Cited: 118
Few-Shot Cross-Domain Fault Diagnosis of Bearing Driven by Task-Supervised ANIL
Haidong Shao, Xiangdong Zhou, Jian Lin, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22892-22902
Closed Access | Times Cited: 70
A deep multi-signal fusion adversarial model based transfer learning and residual network for axial piston pump fault diagnosis
You He, Hesheng Tang, Yan Ren, et al.
Measurement (2022) Vol. 192, pp. 110889-110889
Closed Access | Times Cited: 69
Small data challenges for intelligent prognostics and health management: a review
Chuanjiang Li, Shaobo Li, Yixiong Feng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 23
Deep multi-scale adversarial network with attention: A novel domain adaptation method for intelligent fault diagnosis
Bo Zhao, Xianmin Zhang, Zhenhui Zhan, et al.
Journal of Manufacturing Systems (2021) Vol. 59, pp. 565-576
Closed Access | Times Cited: 81
Tool wear monitoring of TC4 titanium alloy milling process based on multi-channel signal and time-dependent properties by using deep learning
Boling Yan, Lida Zhu, Yichao Dun
Journal of Manufacturing Systems (2021) Vol. 61, pp. 495-508
Closed Access | Times Cited: 64
Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning
Simon Zhai, Benedikt Gehring, Günther Reinhart
Journal of Manufacturing Systems (2021) Vol. 61, pp. 830-855
Open Access | Times Cited: 60
Cross-domain fault diagnosis of bearing using improved semi-supervised meta-learning towards interference of out-of-distribution samples
Jian Lin, Haidong Shao, Zhishan Min, et al.
Knowledge-Based Systems (2022) Vol. 252, pp. 109493-109493
Closed Access | Times Cited: 52
Lightweight Convolutional Transformers Enhanced Meta-Learning for Compound Fault Diagnosis of Industrial Robot
Chong Chen, Tao Wang, Chao Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Open Access | Times Cited: 22
Cross-domain few-shot fault diagnosis based on meta-learning and domain adversarial graph convolutional network
Junwei Hu, Weigang Li, Yong Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108970-108970
Closed Access | Times Cited: 13
Making costly manufacturing smart with transfer learning under limited data: A case study on composites autoclave processing
Milad Ramezankhani, Bryn Crawford, Apurva Narayan, et al.
Journal of Manufacturing Systems (2021) Vol. 59, pp. 345-354
Closed Access | Times Cited: 53
Deep Unsupervised Domain Adaptation with Time Series Sensor Data: A Survey
Yongjie Shi, Xianghua Ying, Jinfa Yang
Sensors (2022) Vol. 22, Iss. 15, pp. 5507-5507
Open Access | Times Cited: 32
Paired ensemble and group knowledge measurement for health evaluation of wind turbine gearbox under compound fault scenarios
Weixiong Jiang, Jun Wu, Haiping Zhu, et al.
Journal of Manufacturing Systems (2023) Vol. 70, pp. 382-394
Closed Access | Times Cited: 18
A novel lightweight relation network for cross-domain few-shot fault diagnosis
Tang Tang, Chuanhang Qiu, Tianyuan Yang, et al.
Measurement (2023) Vol. 213, pp. 112697-112697
Closed Access | Times Cited: 16
Application of an Oversampling Method Based on GMM and Boundary Optimization in Imbalance-Bearing Fault Diagnosis
Zhenya Wang, Tao Liu, Xing Wu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 1931-1940
Closed Access | Times Cited: 16
An Intelligent Health diagnosis and Maintenance Decision-making approach in Smart Manufacturing
Guibing Gao, Dengming Zhou, Hao Tang, et al.
Reliability Engineering & System Safety (2021) Vol. 216, pp. 107965-107965
Closed Access | Times Cited: 34
Triplet metric driven multi-head GNN augmented with decoupling adversarial learning for intelligent fault diagnosis of machines under varying working condition
Kaiyu Zhang, Jinglong Chen, Shuilong He, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 1-16
Closed Access | Times Cited: 33
Multiscale Wavelet Prototypical Network for Cross-Component Few-Shot Intelligent Fault Diagnosis
Ke Yue, Jipu Li, Junbin Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-11
Closed Access | Times Cited: 23
Machine learning applications in health monitoring of renewable energy systems
Bo Ren, Yuan Chi, Niancheng Zhou, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 189, pp. 114039-114039
Closed Access | Times Cited: 13
A task-oriented theil index-based meta-learning network with gradient calibration strategy for rotating machinery fault diagnosis with limited samples
Mingzhe Mu, Hongkai Jiang, Xin Wang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102870-102870
Closed Access | Times Cited: 5
A new cross-domain bearing fault diagnosis method with few samples under different working conditions
Xingjun Dong, Changsheng Zhang, Hanrui Liu, et al.
Journal of Manufacturing Processes (2025) Vol. 135, pp. 359-374
Closed Access
Health Evaluation Techniques Towards Rotating Machinery: A Systematic Literature Review and Implementation Guideline
Weixiong Jiang, Jun Wu, Yifan Yang, et al.
Reliability Engineering & System Safety (2025) Vol. 260, pp. 110924-110924
Closed Access
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