Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Adversarial domain adaptation network with pseudo-siamese feature extractors for cross-bearing fault transfer diagnosis
Qunwang Yao, Quan Qian, Yi Qin, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 113, pp. 104932-104932
Closed Access | Times Cited: 24

Showing 24 citing articles:

Enhanced transfer learning method for rolling bearing fault diagnosis based on linear superposition network
Chunran Huo, Quan Jiang, Yehu Shen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105970-105970
Closed Access | Times Cited: 49
Simulation-Driven Subdomain Adaptation Network for bearing fault diagnosis with missing samples
Jianing Liu, Hongrui Cao, Shuaiming Su, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106201-106201
Closed Access | Times Cited: 29
Fault diagnosis of wind turbine gearbox under limited labeled data through temporal predictive and similarity contrast learning embedded with self-attention mechanism
Yunyi Zhu, Bin Xie, Anqi Wang, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123080-123080
Closed Access | Times Cited: 22
Domain adaptive learning based on equilibrium distribution and dynamic subspace approximation
Zhonghua Liu, Tiansheng Wang, Fa Zhu, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123673-123673
Closed Access | Times Cited: 14
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
A partial domain adaptation scheme based on weighted adversarial nets with improved CBAM for fault diagnosis of wind turbine gearbox
Yunyi Zhu, Yan Pei, Anqi Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106674-106674
Closed Access | Times Cited: 20
Knowledge addition for improving the transfer learning from the laboratory to identify defects of hydraulic machinery
Anil Kumar, Adam Głowacz, Hesheng Tang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106756-106756
Closed Access | Times Cited: 20
A Deep Convolution Multi-Adversarial adaptation network with Correlation Alignment for fault diagnosis of rotating machinery under different working conditions
Li Jiang, Lei Wei, Shuaiyu Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107179-107179
Closed Access | Times Cited: 14
Domain adaptation via Transferable Swin Transformer for tire defect detection
Yulong Zhang, Yilin Wang, Zhiqiang Jiang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106109-106109
Closed Access | Times Cited: 13
KMDSAN: A novel method for cross-domain and unsupervised bearing fault diagnosis
Shuping Wu, Peiming Shi, Xuefang Xu, et al.
Knowledge-Based Systems (2025), pp. 113170-113170
Closed Access
Unsupervised structure subdomain adaptation based the Contrastive Cluster Center for bearing fault diagnosis
Pengfei Chen, Rongzhen Zhao, Tianjing He, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106141-106141
Closed Access | Times Cited: 12
SCG-GFFE: A Self-Constructed graph fault feature extractor based on graph Auto-encoder algorithm for unlabeled single-variable vibration signals of harmonic reducer
Shilong Sun, Hao Ding, Zida Zhao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102579-102579
Closed Access | Times Cited: 3
Fault diagnosis method via one vs rest evidence classifier considering imprecise feature samples
Xiaobin Xu, Haohao Guo, Zhenjie Zhang, et al.
Applied Soft Computing (2024) Vol. 161, pp. 111761-111761
Closed Access | Times Cited: 2
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
Fault state identification of rolling bearings based on deep transfer convolutional autoencoder and a new health indicator
Jiafeng Xiao, Shaojiang Dong
Measurement (2023) Vol. 223, pp. 113730-113730
Closed Access | Times Cited: 4
Alleviating confirmation bias in perpetually dynamic environments: Continuous unsupervised domain adaptation-based condition monitoring (CUDACoM)
Mohamed Abubakr, Chi-Guhn Lee
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109057-109057
Open Access | Times Cited: 1
Transfer learning for concept drifting data streams in heterogeneous environments
Mona Moradi, Mohammad Rahmanimanesh, Ali Shahzadi
Knowledge and Information Systems (2024) Vol. 66, Iss. 5, pp. 2799-2857
Closed Access
A Multi-task Learning Method for Few-Shot Fault Diagnosis Based on Metric Learning
Guang Yang, Zong Meng
Mechanisms and machine science (2024), pp. 271-280
Closed Access
Digital Twin Information Model and Measured Data Fusion Based Bearing Fault Diagnosis
Cunsong Wang, Wenbin Pan, Chengjun Zhang, et al.
(2024)
Closed Access
Adversarial-Causal Representation Learning Networks for Machine fault diagnosis under unseen conditions based on vibration and acoustic signals
Fei Wu, Zhuohang Xiang, Dengyu Xiao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109550-109550
Closed Access
Self-learning guided residual shrinkage network for intelligent fault diagnosis of planetary gearbox
X. K. Lv, Jinrui Wang, Ranran Qin, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109603-109603
Closed Access
Calibrated Adaptive Teacher for Domain-Adaptive Intelligent Fault Diagnosis
Florent Forest, Olga Fink
Sensors (2024) Vol. 24, Iss. 23, pp. 7539-7539
Open Access
Label-free model evaluation and weighted uncertainty sample selection for domain adaptive instance segmentation
Licong Guan, Xue Yuan
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107204-107204
Closed Access | Times Cited: 1
Deep discriminative clustering and structural constraint for cross-domain fault diagnosis of rotating machinery
Wenbo Wu, Yongkui Liu, Zhang Li, et al.
Manufacturing Letters (2023) Vol. 35, pp. 1072-1080
Open Access
Page 1

Scroll to top