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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 rolling bearings under varying operating conditions based on domain-adversarial neural network and attention mechanism
Hao Wu, Jimeng Li, Qingyu Zhang, et al.
ISA Transactions (2022) Vol. 130, pp. 477-489
Closed Access | Times Cited: 62

Showing 26-50 of 62 citing articles:

Deep Domain Adaptation with Correlation Alignment and Supervised Contrastive Learning for Intelligent Fault Diagnosis in Bearings and Gears of Rotating Machinery
Bo Zhang, Hai Dong, Hamzah A. A. M. Qaid, et al.
Actuators (2024) Vol. 13, Iss. 3, pp. 93-93
Open Access | Times Cited: 3
A Fault Diagnosis Method for Key Components of the CNC Machine Feed System Based on the DoubleEnsemble–LightGBM Model
Yiming Li, Yize Wang, Liuwei Lu, et al.
Machines (2024) Vol. 12, Iss. 5, pp. 305-305
Open Access | Times Cited: 3
Health monitoring of triboelectric self-sensing bearings through deep learning
Tianyu Han, Xijia Ding, Hui Hu, et al.
Measurement (2023) Vol. 220, pp. 113330-113330
Closed Access | Times Cited: 8
A novel fault diagnosis model of rolling bearing under variable working conditions based on attention mechanism and domain adversarial neural network
Zhiping Liu, Peng Zhang, Yannan Yu, et al.
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 3, pp. 1101-1111
Closed Access | Times Cited: 2
Bearing Fault Vibration Signal Denoising Based on Adaptive Denoising Autoencoder
Haifei Lu, Kedong Zhou, Lei He
(2024)
Open Access | Times Cited: 2
A review on adversarial–based deep transfer learning mechanical fault diagnosis
Yu Guo, Ziyi Cheng, Jundong Zhang, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
IF-EDAAN: An information fusion-enhanced domain adaptation attention network for unsupervised transfer fault diagnosis
Cuiying Lin, Yun Kong, Qinkai Han, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112180-112180
Closed Access | Times Cited: 2
Angular contact ball bearing skidding mechanism analysis and diagnosis considering flexible rotor characteristics
Leiming Ma, Bin Jiang, Ningyun Lu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 207, pp. 110942-110942
Closed Access | Times Cited: 6
Knowledge correlation graph-guided multi-source interaction domain adaptation network for rotating machinery fault diagnosis
Zhenghong Wu, Hongkai Jiang, Xin Wang, et al.
ISA Transactions (2023) Vol. 142, pp. 663-682
Closed Access | Times Cited: 5
A two-stage multi-scale domain adversarial transfer learning method and its application in fault diagnosis
Mingyuan Zhang, Chengxuan Huang, Hongsen Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125041-125041
Closed Access | Times Cited: 5
Cross-domain open-set rolling bearing fault diagnosis based on feature improvement adversarial network under noise condition
Haomiao Wang, Yibin Li, Mingshun Jiang, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 2, pp. 5073-5085
Closed Access | Times Cited: 1
Fault diagnosis of rolling bearings based on dynamic convolution and dual-channel feature fusion under variable working conditions
Dechen Yao, Tao Zhou, Jianwei Yang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066110-066110
Closed Access | Times Cited: 1
A Fault Diagnosis Method for CNC Machine Feed System Based on DoubleEnsemble-LightGBM Model
Yiming Li, Yize Wang, Liuwei Lu, et al.
(2024)
Open Access | Times Cited: 1
Multi-Perception Graph Convolution Transfer Network Bearing Fault Diagnosis Method
Xiaolei Pan, Hongxiao Chen, Dongdong Zhao, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4515-4515
Open Access | Times Cited: 1
Improved GNN based on Graph-Transformer: A new framework for rolling mill bearing fault diagnosis
Dongxiao Hou, Bo Zhang, Jiahui Chen, et al.
Transactions of the Institute of Measurement and Control (2024)
Closed Access | Times Cited: 1
A Cross-Working Condition-Bearing Diagnosis Method Based on Image Fusion and a Residual Network Incorporating the Kolmogorov–Arnold Representation Theorem
Ziyi Tang, Xinhao Hou, Xin Wang, et al.
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7254-7254
Open Access | Times Cited: 1
A Novel Multiscale Adaptive Graph Adversarial Network for Mechanical Fault Diagnosis
Jiayang Liu, Chaobing Wang, Xiaoru Wang, et al.
Knowledge-Based Systems (2024), pp. 112787-112787
Closed Access | Times Cited: 1
Domain adaptive networks with limited data for rotating machinery fault diagnosis: a case of study of gears
Xueyi Li, Tianyu Yu, Qiushi He, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125123-125123
Closed Access | Times Cited: 4
Measuring compound defect of bearing by wavelet gradient integrated spiking neural network
Jianping Xuan, Zisheng Wang, Shaochen Li, et al.
Measurement (2023) Vol. 223, pp. 113796-113796
Closed Access | Times Cited: 3
Improved Domain Adaptation Approach for Bearing Fault Diagnosis
Türker İnce, Sertac Kilickaya, Levent Eren, et al.
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (2022), pp. 1-6
Closed Access | Times Cited: 4
Optimization of Gearbox Fault Detection Method Based on Deep Residual Neural Network Algorithm
Zhaohua Wang, Yingxue Tao, Yanping Du, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7573-7573
Open Access | Times Cited: 2
Cross-condition quantitative diagnosis method for bearing faults based on IDRSN-ECDAN
Shuilong He, Liangyu Zhu, Hui Li, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025129-025129
Closed Access | Times Cited: 2
Dynamic Condition Adversarial Adaptation for Fault Diagnosis of Wind Turbine Gearbox
Hongpeng Zhang, Xinran Wang, Cunyou Zhang, et al.
Sensors (2023) Vol. 23, Iss. 23, pp. 9368-9368
Open Access | Times Cited: 2
A feature separation simulation-assisted transfer framework for rotating machinery fault intelligent diagnosis
shubo yu, Zhansheng Liu, Saibo Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086133-086133
Closed Access
Robustness of Bayesian Random Forest in High-Dimensional Analysis with Missing Data
Haifei Lu, Kedong Zhou, Lei He
(2024)
Open Access

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