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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:

One-stage self-supervised momentum contrastive learning network for open-set cross-domain fault diagnosis
Weicheng Wang, Chao Li, Aimin Li, et al.
Knowledge-Based Systems (2023) Vol. 275, pp. 110692-110692
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Learning to Imbalanced Open Set Generalize: A Meta-Learning Framework for Enhanced Mechanical Diagnosis
Changdong Wang, Shu Zhou, Jingli Yang, et al.
IEEE Transactions on Cybernetics (2025) Vol. 55, Iss. 3, pp. 1464-1475
Closed Access | Times Cited: 1
Time-frequency supervised contrastive learning via pseudo-labeling: An unsupervised domain adaptation network for rolling bearing fault diagnosis under time-varying speeds
Bin Pang, Qiuhai Liu, Zhenduo Sun, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102304-102304
Closed Access | Times Cited: 39
Heterogeneous Federated Domain Generalization Network With Common Representation Learning for Cross-Load Machinery Fault Diagnosis
Quan Qian, Jun Luo, Yi Qin
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 9, pp. 5704-5716
Closed Access | Times Cited: 10
Federated transfer learning for machinery fault diagnosis: A comprehensive review of technique and application
Quan Qian, Bin Zhang, Chuan Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111837-111837
Closed Access | Times Cited: 10
Open-set domain adaptive fault diagnosis based on supervised contrastive learning and a complementary weighted dual adversarial network
Cailu Pan, Zhiwu Shang, Lutai Tang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 222, pp. 111780-111780
Closed Access | Times Cited: 5
Mitigating overconfidence in unknown sample predictions: A confidence-enhanced one-versus-all network for open-set transfer fault diagnosis
Yang Liu, Yaowei Shi, Minqiang Deng, et al.
Knowledge-Based Systems (2025), pp. 113013-113013
Closed Access
Early fault detection with health stage division:an adversarial learning method with model update mechanism for condition monitoring
Yu Wang, Qingbo Wang, Szymon Bernat, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110015-110015
Open Access
A Transformer-based self-supervised learning model for fault diagnosis of air-conditioning systems with limited labeled data
Hua Mei, Ke Yan, Xin Li
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110331-110331
Closed Access
Feature Similarity-Aware Open-Set Fault Diagnosis Via an Adaptive Dual-Stage Recognition Framework
Penglong Lian, Zhiheng Su, Penghui Shang, et al.
(2025)
Closed Access
A prior knowledge-enhanced self-supervised learning framework using time-frequency invariance for machinery intelligent fault diagnosis with small samples
Jian Tang, Jiawei Xiao, Wentao Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108503-108503
Closed Access | Times Cited: 4
Integrating intrinsic information: A novel open set domain adaptation network for cross-domain fault diagnosis with multiple unknown faults
Yuteng Zhang, Hongliang Zhang, Bin Chen, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112100-112100
Closed Access | Times Cited: 4
Multi-source domain adaptation using diffusion denoising for bearing fault diagnosis under variable working conditions
Xuefang Xu, Xu Yang, Zijian Qiao, et al.
Knowledge-Based Systems (2024) Vol. 302, pp. 112396-112396
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
Deep Learning in Industrial Machinery: A Critical Review of Bearing Fault Classification Methods
Attiq Ur Rehman, Weidong Jiao, Yonghua Jiang, et al.
Applied Soft Computing (2025), pp. 112785-112785
Closed Access
Cross-sensor contrastive learning-based pre-training for machinery fault diagnosis under sample-limited conditions
Hao Hu, Yue Ma, Ruoxue Li, et al.
Knowledge-Based Systems (2025), pp. 113075-113075
Closed Access
TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault diagnosis
Xiaohan Chen, Rui Yang, Yihao Xue, et al.
Control Engineering Practice (2024) Vol. 146, pp. 105900-105900
Closed Access | Times Cited: 3
OWFD-UCPM: An open-world fault diagnosis scheme based on uncertainty calibration and prototype management
Fulin Gao, Weimin Zhong, Qingchao Jiang, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111403-111403
Closed Access | Times Cited: 2
Open set transfer learning for bearing defect recognition based on selective momentum contrast and dual adversarial structure
Shaochen Li, Jianping Xuan, Qing Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102641-102641
Closed Access | Times Cited: 2
Contrast Learning with Hard Example Mining for Few-shot Fault Diagnosis of Rolling Bearings
Zenghui An, Houliang Wang, Yinglong Yan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106121-106121
Closed Access | Times Cited: 2
Enhancing prognostics for sparse labeled data using advanced contrastive self-supervised learning with downstream integration
Weikun Deng, Khanh T.P. Nguyen, Christian Gogu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109268-109268
Closed Access | Times Cited: 2
WPD-Enhanced Deep Graph Contrastive Learning Data Fusion for Fault Diagnosis of Rolling Bearing
Ruozhu Liu, Xingbing Wang, Anil Kumar, et al.
Micromachines (2023) Vol. 14, Iss. 7, pp. 1467-1467
Open Access | Times Cited: 5
Multi-adversarial deep transfer network for multi-source open-set fault diagnosis of rotating machinery with category shift
Zuqiang Su, Weilong Jiang, Kai Chen, et al.
Knowledge-Based Systems (2023) Vol. 282, pp. 111106-111106
Closed Access | Times Cited: 5
Self-supervised Gaussian Restricted Boltzmann Machine via joint contrastive representation and contrastive divergence
Xinlei Wang, Jielei Chu, Yu Hua, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112121-112121
Closed Access | Times Cited: 1
Semi-supervised adaptive anti-noise meta-learning for few-shot industrial gearbox fault diagnosis
Junwei Hu, Chao Xie
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116104-116104
Closed Access | Times Cited: 1
Knowledge and Data Dual-Driven Fault Diagnosis in Industrial Scenarios: A Survey
Yimeng Wang, Jie Shen, Shusen Yang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 11, pp. 19256-19277
Closed Access
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