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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:

Deep learning-based open set multi-source domain adaptation with complementary transferability metric for mechanical fault diagnosis
Jinghui Tian, Dongying Han, Hamid Reza Karimi, et al.
Neural Networks (2023) Vol. 162, pp. 69-82
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
Shengnan Tang, Jingtao Ma, Zhengqi Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108678-108678
Closed Access | Times Cited: 30
A new multi-source information domain adaption network based on domain attributes and features transfer for cross-domain fault diagnosis
Yue Yu, Hamid Reza Karimi, Peiming Shi, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111194-111194
Open Access | Times Cited: 20
Causal Disentanglement Domain Generalization for time-series signal fault diagnosis
Linshan Jia, Tommy W. S. Chow, Yixuan Yuan
Neural Networks (2024) Vol. 172, pp. 106099-106099
Closed Access | Times Cited: 19
A two-stage importance-aware subgraph convolutional network based on multi-source sensors for cross-domain fault diagnosis
Yue Yu, Youqian He, Hamid Reza Karimi, et al.
Neural Networks (2024) Vol. 179, pp. 106518-106518
Open Access | Times Cited: 18
Multi-source weighted source-free domain transfer method for rotating machinery fault diagnosis
Qinhe Gao, Tong Huang, Ke Zhao, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121585-121585
Closed Access | Times Cited: 31
Attention gate guided multiscale recursive fusion strategy for deep neural network-based fault diagnosis
Zhiqiang Zhang, Funa Zhou, Hamid Reza Karimi, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107052-107052
Closed Access | Times Cited: 28
A universal multi-source domain adaptation method with unsupervised clustering for mechanical fault diagnosis under incomplete data
Jinghui Tian, Dongying Han, Hamid Reza Karimi, et al.
Neural Networks (2024) Vol. 173, pp. 106167-106167
Closed Access | Times Cited: 7
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
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
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
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
Deep one-class probability learning for end-to-end image classification
Jia Liu, Wenhua Zhang, Fang Liu, et al.
Neural Networks (2025), pp. 107201-107201
Closed Access
A Multi-Gradient Hierarchical Domain Adaptation Network for transfer diagnosis of bearing faults
Jun Chen, Hui Liu
Expert Systems with Applications (2023) Vol. 225, pp. 120139-120139
Closed Access | Times Cited: 11
Few-shot learning fault diagnosis of rolling bearings based on siamese network
Xiaoyang Zheng, Zhixia Feng, Zijian Lei, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 095018-095018
Closed Access | Times Cited: 3
Unknown-class recognition adversarial network for open set domain adaptation fault diagnosis of rotating machinery
Ke Wu, Wei Xu, Qiming Shu, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 3
General feature spatial location and distance-based unknown Detection: A universal domain adaptation fault diagnosis framework of rotating Machinery
Yunjia Dong, Minqiang Xu, Yuqing Li, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 110979-110979
Closed Access | Times Cited: 8
Adversarial Domain Adaptation with Dual Auxiliary Classifiers for Cross-Domain Open Set Intelligent Fault Diagnosis
Bo Wang, Meng Zhang, Hao Xu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 2
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
Rolling mill fault diagnosis under limited datasets
Junjie He, Peiming Shi, Xuefang Xu, et al.
Knowledge-Based Systems (2024) Vol. 291, pp. 111579-111579
Closed Access | Times Cited: 1
Cross-domain policy adaptation with dynamics alignment
Haiyuan Gui, Shanchen Pang, Shihang Yu, et al.
Neural Networks (2023) Vol. 167, pp. 104-117
Closed Access | Times Cited: 2
MITDCNN: A multi-modal input Transformer-based deep convolutional neural network for misfire signal detection in high-noise diesel engines
Wenjie Li, Xiangpeng Liu, D.H. Wang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121797-121797
Closed Access | Times Cited: 2
A Semi-Supervised Federated Learning Fault Diagnosis Method Based on Adaptive Class Prototype Points for Data Suffered by High Missing Rate
Funa Zhou, Wei Xu, Chaoge Wang, et al.
Journal of Intelligent & Robotic Systems (2023) Vol. 109, Iss. 4
Closed Access | Times Cited: 2
Deep One-Class Probability Learning for End-to-End Image Classification
Jia Liu, Wenhua Zhang, Fang Liu, et al.
(2024)
Closed Access
Pseudo-Label Correction With Adaptive Margin for Source-Free Domain Adaptation
Ziyun Cai, Tengfei Zhang, Fumin Ma, et al.
(2024)
Closed Access
Monthly Railway Freight Volume Forecasting Based on Miao_Lstm Model
Xia Hao, Yu Zhou, Z. Y. Pei, et al.
(2024)
Closed Access
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