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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:

A novel bearing fault diagnosis method based joint attention adversarial domain adaptation
Pengfei Chen, Rongzhen Zhao, Tianjing He, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109345-109345
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication
Dongdong Liu, Lingli Cui, Weidong Cheng
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 012002-012002
Closed Access | Times Cited: 81
A novel domain generalization network with multidomain specific auxiliary classifiers for machinery fault diagnosis under unseen working conditions
Rui Wang, Weiguo Huang, Yixiang Lu, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109463-109463
Open Access | Times Cited: 43
A multi-sensor fused incremental broad learning with D-S theory for online fault diagnosis of rotating machinery
Xuefang Xu, Shuo Bao, Haidong Shao, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102419-102419
Closed Access | Times Cited: 17
Novel Domain-Adaptive Wasserstein Generative Adversarial Networks for Early Bearing Fault Diagnosis under Various Conditions
Z. K. Hei, Weifang Sun, Haiyang Yang, et al.
Reliability Engineering & System Safety (2025), pp. 110847-110847
Closed Access | Times Cited: 2
Weighted domain separation based open set fault diagnosis
Xingwu Zhang, Yu Zhao, Xiaolei Yu, et al.
Reliability Engineering & System Safety (2023) Vol. 239, pp. 109518-109518
Closed Access | Times Cited: 16
Multi-source partial domain adaptation method based on pseudo-balanced target domain for fault diagnosis
Guowei Zhang, Xianguang Kong, Qibin Wang, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111255-111255
Closed Access | Times Cited: 16
Single domain generalization method based on anti-causal learning for rotating machinery fault diagnosis
Guowei Zhang, Xianguang Kong, Qibin Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110252-110252
Closed Access | Times Cited: 5
A multi-branch attention coupled convolutional domain adaptation network for bearing intelligent fault recognition under unlabeled sample scenarios
Maoyou Ye, Xiaoan Yan, Dong Jiang, et al.
Applied Soft Computing (2025), pp. 113053-113053
Closed Access
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
Gradient Alignment based Partial Domain Adaptation (GAPDA) using a domain knowledge filter for fault diagnosis of bearing
Yong Chae Kim, Jinwook Lee, Tae-Hun Kim, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110293-110293
Closed Access | Times Cited: 4
CCMnet: a cluster-level contrastive cross-domain framework for GIS insulation defects diagnosis
Yu Song, Rui Wang, Bin Gou, et al.
Knowledge-Based Systems (2025), pp. 113081-113081
Closed Access
SIGTN: A Novel Structural Infomax Graph Transfer Networks for Rotating Machinery Fault Diagnosis in Cross-Condition and Cross-Equipment Scenarios
Kongliang Zhang, Hongkun Li, Shunxin Cao, et al.
Reliability Engineering & System Safety (2025), pp. 110898-110898
Closed Access
A novel approach for bearing fault diagnosis in complex environments using PSO-CWT and SA-FPN
Linfeng Deng, Cheng Zhao, Xinhui Yan, et al.
Measurement (2025), pp. 117027-117027
Closed Access
Reserving embedding space for new fault types: A new continual learning method for bearing fault diagnosis
Hongyan Zhu, Changqing Shen, Lin Li, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110433-110433
Closed Access | Times Cited: 3
Multi-target domain adaptation intelligent diagnosis method for rotating machinery based on multi-source attention mechanism and mixup feature augmentation
Mengyu Liu, Zhe Cheng, Yu Yang, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110298-110298
Closed Access | Times Cited: 3
A bidirectional domain separation adversarial network based transfer learning method for near-infrared spectra
Zheyu Zhang, Stavros Avramidis, Yaoxiang Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109140-109140
Closed Access | Times Cited: 3
Few-shot condition diagnosis of rolling bearing using adversarial transfer network with class aggregation-guided
Shaoning Tian, Dong Zhen, Guohua Sun, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066120-066120
Closed Access | Times Cited: 2
Fault diagnosis of axial piston pump based on multi-source subdomain adaptation and sensor data fusion
Hongbin Tang, Yangchun Gong, Jingnan Zhou
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086209-086209
Closed Access | Times Cited: 2
Machining quality prediction of multi-feature parts using integrated multi-source domain dynamic adaptive transfer learning
Pei Wang, Jingshuai Qi, Xun Xu, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 90, pp. 102815-102815
Open Access | Times Cited: 2
Adaptive Centroid Prototype-based Domain Adaptation for Fault Diagnosis of Rotating machinery Without Source Data
Qikang Li, Baoping Tang, Lei Deng, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110393-110393
Closed Access | Times Cited: 2
Imbalanced Source-Free Adaptation Diagnosis for Rotating Machinery
Yijiao Liu, Mingying Huo, Q. Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1
Self-adaptive fault diagnosis for unseen working conditions based on digital twins and domain generalization
Mehdi Saman Azari, Stefania Santini, Farid Edrisi, et al.
Reliability Engineering & System Safety (2024), pp. 110560-110560
Open Access | Times Cited: 1
A three-stage bearing transfer fault diagnosis method for large domain shift scenarios
Kai Huang, Zhijun Ren, Linbo Zhu, et al.
Reliability Engineering & System Safety (2024) Vol. 254, pp. 110641-110641
Closed Access | Times Cited: 1
Multiscale convolutional conditional domain adversarial network with channel attention for unsupervised bearing fault diagnosis
H Wang, Yibin Li, Mingshun Jiang, et al.
Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering (2024) Vol. 238, Iss. 6, pp. 1123-1134
Closed Access
A new indirect transfer fault diagnosis method based on feature separation
Chenhui Qian, Zhaojun Yang, Jialong He, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112058-112058
Closed Access
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