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:

ISEANet: An interpretable subdomain enhanced adaptive network for unsupervised cross-domain fault diagnosis of rolling bearing
Bin Liu, Changfeng Yan, Yaofeng Liu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102610-102610
Closed Access | Times Cited: 10

Showing 10 citing articles:

Dynamic weighted adversarial domain adaptation network with sparse representation denoising module for rotating machinery fault diagnosis
Maogui Niu, Hongkai Jiang, Haidong Shao
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109963-109963
Closed Access | Times Cited: 2

Multi-source fault data fusion diagnosis method based on hyper-feature space graph collaborative embedding
Xiaoxin Dong, Hua Ding, Dawei Gao, et al.
Advanced Engineering Informatics (2025) Vol. 64, pp. 103092-103092
Closed Access | Times Cited: 1

A Multi-Source Domain Feature-Decision Dual Fusion Adversarial Transfer Network for Cross-Domain Anti-Noise Mechanical Fault Diagnosis in Sustainable City
Changdong Wang, Huamin Jie, Jingli Yang, et al.
Information Fusion (2024) Vol. 115, pp. 102739-102739
Closed Access | Times Cited: 6

Towards dual-perspective alignment: A novel hierarchical selective adversarial network for transfer fault diagnosis
Yansong Zhang, Xianfeng Yuan, Xilin Yang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103113-103113
Closed Access

A frequency channel-attention based vision Transformer method for bearing fault identification across different working conditions
Ling Xiang, Hankun Bing, Xianze Li, et al.
Expert Systems with Applications (2024) Vol. 262, pp. 125686-125686
Closed Access | Times Cited: 3

Multi-rolling element faults diagnosis of rolling bearing based on time-frequency analysis and multi-curves extraction
Xiru Liu, Changfeng Yan, Ming Lv, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106113-106113
Closed Access | Times Cited: 1

FedITA: A cloud–edge collaboration framework for domain generalization-based federated fault diagnosis of machine-level industrial motors
Yiming He, Weiming Shen
Advanced Engineering Informatics (2024) Vol. 62, pp. 102853-102853
Closed Access | Times Cited: 1

Dual-feature enhanced hybrid convolutional network for imbalanced fault diagnosis of rolling bearings
Yingjie Zhao, Changfeng Yan, Bin Liu, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016023-016023
Open Access

A hybrid deep learning network for diagnosing multipoint faults in rolling bearings under variable operating conditions
Y. Huang, Changfeng Yan, Bin Liu, et al.
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 11, pp. 5989-6003
Closed Access

Dual branch feature matching guided multi-source domain adaptive ensemble network for rotating machinery fault diagnosis
Bo Liu, Guofa Li, Jialong He, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103061-103061
Closed Access

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