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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:

Automated broad transfer learning for cross-domain fault diagnosis
Guokai Liu, Weiming Shen, Liang Gao, et al.
Journal of Manufacturing Systems (2022) Vol. 66, pp. 27-41
Closed Access | Times Cited: 17

Showing 17 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 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
A class-imbalance-aware domain adaptation framework for fault diagnosis of wind turbine drivetrains under different environmental conditions
Biliang Lu, Ali Dibaj, Zhen Gao, et al.
Ocean Engineering (2024) Vol. 296, pp. 116902-116902
Closed Access | Times Cited: 12
A broad learning model guided by global and local receptive causal features for online incremental machinery fault diagnosis
Xuefang Xu, Shuo Bao, Pengfei Liang, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123124-123124
Closed Access | Times Cited: 10
Filter-wrapper combined feature selection and adaboost-weighted broad learning system for transformer fault diagnosis under imbalanced samples
Beijia Zhao, Dongsheng Yang, Hamid Reza Karimi, et al.
Neurocomputing (2023) Vol. 560, pp. 126803-126803
Closed Access | Times Cited: 19
Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments
Ali Saeed, Muazzam A. Khan, Usman Akram, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Cross-domain knowledge transfer in industrial process monitoring: A survey
Zheng Chai, Chunhui Zhao, Biao Huang
Journal of Process Control (2025) Vol. 149, pp. 103408-103408
Closed Access
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
Task-adaptive unbiased regularization meta-learning for few-shot cross-domain fault diagnosis
Huaqing Wang, Dongrui Lv, Tianjiao Lin, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110200-110200
Closed Access
Leveraging working-condition-related features for enhanced cross-domain remaining useful life prediction of aircraft engines
Zhiyao Zhang, Jia Cheng, Pengpeng Chen, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
Feature structured domain adaptation for quality prediction of cross working conditions in industrial processes
He Ding, Kuangrong Hao, Lei Chen, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 887-900
Closed Access | Times Cited: 2
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
A partial domain adaptation broad learning system for machinery fault diagnosis
Aisong Qin, Qin Hu, Qinghua Zhang, et al.
Measurement (2024) Vol. 243, pp. 116437-116437
Closed Access | Times Cited: 1
Multi-residual unit fusion and Wasserstein distance-based deep transfer learning for mill load recognition
Huazhi Xu, Xiaoyan Luo, Wencong Xiao
Signal Image and Video Processing (2024) Vol. 18, Iss. 4, pp. 3187-3196
Closed Access
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
Deep Learning based Approaches for Intelligent Industrial Machinery Health Management & Fault Diagnosis in Resource-Constrained Environments
Ali Saeed Khan, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Research Square (Research Square) (2024)
Open Access
A Cross-Domain Recommender System for Literary Books Using Multi-Head Self-Attention Interaction and Knowledge Transfer Learning
Yuan Cui, Duan Yue-xing, Yueqin Zhang, et al.
International Journal of Data Warehousing and Mining (2023) Vol. 19, Iss. 1, pp. 1-22
Open Access | Times Cited: 1
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