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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:

Actively Imaginative Data Augmentation for Machinery Diagnosis Under Large-Speed-Fluctuation Conditions
Zenghui An, Xingxing Jiang, Rui Yang, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 7, pp. 8484-8495
Closed Access | Times Cited: 18

Showing 18 citing articles:

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
Imbalanced data based fault diagnosis of the chiller via integrating a new resampling technique with an improved ensemble extreme learning machine
Hanyuan Zhang, Wenxin Yang, Weilin Yi, et al.
Journal of Building Engineering (2023) Vol. 70, pp. 106338-106338
Closed Access | Times Cited: 43
Inverse physics–informed neural networks for digital twin–based bearing fault diagnosis under imbalanced samples
Yi Qin, Hongyu Liu, Yi Wang, et al.
Knowledge-Based Systems (2024) Vol. 292, pp. 111641-111641
Closed Access | Times Cited: 30
Faulty rolling bearing digital twin model and its application in fault diagnosis with imbalanced samples
Yi Qin, Hongyu Liu, Yongfang Mao
Advanced Engineering Informatics (2024) Vol. 61, pp. 102513-102513
Closed Access | Times Cited: 29
Selective Feature Reinforcement Network for Robust Remote Fault Diagnosis of Wind Turbine Bearing Under Non-Ideal Sensor Data
Jinbiao Tan, Jiafu Wan, Baotong Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 5
Operation condition assessment for elevators under limited High-Quality label and Unbalanced data using feature alignment encoder GAN
Dapeng Niu, Lei Guo, Mingxing Jia
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112497-112497
Closed Access
Self-supervised Progressive Learning for Fault Diagnosis under Limited Labeled Data and Varying Conditions
Qiuyu Song, Lidong Yang, Xingxing Jiang, et al.
Neurocomputing (2025), pp. 130126-130126
Closed Access
DNOCNet: A Novel End-to-End Network for Induction Motor Drive Systems Fault Diagnosis Under Speed Fluctuation Condition
Junchao Guo, Qingbo He, Fengshou Gu
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 6, pp. 8284-8293
Closed Access | Times Cited: 3
Rolling bearing fault diagnosis under time-varying speeds based on time-characteristic order spectrum and multi-scale domain adaptation network
Zhenli Xu, Guiji Tang, Bin Pang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125118-125118
Closed Access | Times Cited: 7
Mode-Decoupling Auto-Encoder for Machinery Fault Diagnosis Under Unknown Working Conditions
Zenghui An, Xingxing Jiang, Jie Liu
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 3, pp. 4990-5003
Closed Access | Times Cited: 7
Principal Properties Attention Matching for Partial Domain Adaptation in Fault Diagnosis
Shugang Li, Renhu Bu, Shuang Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 2
A New Dual-domain Signal Collaborative Transfer Network for Bearing Fault Diagnosis
Shuo Xing, Jinrui Wang, Junqing Ma, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1
Fast nonlinear cross-sparse filtering for rolling bearings compound fault diagnosis
Shunxiang Yao, Zongzhen Zhang, Baokun Han, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035120-035120
Closed Access | Times Cited: 3
A Bearing Fault Diagnosis Method Based on a Residual Network and a Gated Recurrent Unit under Time-Varying Working Conditions
Zheng Wang, Xiaoyang Xu, Yu Zhang, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 6730-6730
Open Access | Times Cited: 2
Comprehensive feature integrated capsule network for Machinery fault diagnosis
Huangkun Xing, Xingxing Jiang, Qiuyu Song, et al.
Expert Systems with Applications (2024), pp. 125450-125450
Closed Access
Dilated dynamic supervised contrastive learning framework for fault diagnosis under imbalanced dataset conditions
Rui Yang, Jia Shi, Houliang Wang, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024)
Closed Access
Self-Supervised Learning With Signal Masking and Reconstruction for Machinery Fault Diagnosis Under Limited Labeled Data and Varying Working Condition
Lidong Yang, Xingxing Jiang, Xuegang Li, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 20, pp. 24862-24873
Closed Access | Times Cited: 1
Dual-domain Signal Fusion Adversarial Network Based Vision Transformer for Cross-domain Fault Diagnosis
Shuo Xing, Jinrui Wang, Baokun Han, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 1
Few-shot Fault Diagnosis Based on Supervised Contrast Learning
Houliang Wang, Yinglong Yan, Shi Jia, et al.
(2023), pp. 1-6
Closed Access
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