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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:

Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application
Wei Guo, Yijin Wang, Xin Chen, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 4, pp. 1439-1454
Open Access | Times Cited: 17

Showing 17 citing articles:

AI-Driven Sensing Technology: Review
Long Chen, Chenbin Xia, Zhehui Zhao, et al.
Sensors (2024) Vol. 24, Iss. 10, pp. 2958-2958
Open Access | Times Cited: 16
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
Federated learning-empowered smart manufacturing and product lifecycle management: A review
Jiewu Leng, Richard Li, Junxing Xie, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103179-103179
Closed Access
An Efficient Industrial Defect Detection Based on Hybrid Residual Attention With Modified Gan-Cnn Model
Asadulla Ashurov, Hongchun Qu
(2025)
Closed Access
Revolutionizing sheet metal stamping through industry 5.0 digital twins: a comprehensive review
Ossama Abou Ali Modad, Jason Ryska, Abdallah Chehade, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 2
Enhancing image data security using the APFB model
Kousik Barik, Sanjay Misra, Luis Fernández Sanz, et al.
Connection Science (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 2
Dual prototypical contrastive network: a novel self-supervised method for cross-domain few-shot fault diagnosis
Xiao Zhang, Weiguo Huang, Rui Wang, et al.
Journal of Intelligent Manufacturing (2023)
Closed Access | Times Cited: 6
Incentive mechanism design for Federated Learning with Stackelberg game perspective in the industrial scenario
Wei Guo, Yijin Wang, Pingyu Jiang
Computers & Industrial Engineering (2023) Vol. 184, pp. 109592-109592
Closed Access | Times Cited: 4
Harnessing federated learning for anomaly detection in supercomputer nodes
Emmen Farooq, Michela Milano, Andrea Borghesi
Future Generation Computer Systems (2024) Vol. 161, pp. 673-685
Closed Access | Times Cited: 1
Feasibility of Using Seq-GAN Model in Vulnerability Detection of Industrial Control Protocols
Jiafa Zhang, Hong Zou, Zifeng Zeng, et al.
Journal of Cyber Security and Mobility (2024), pp. 393-416
Open Access
Generative AI: A Transformative Force in Business Intelligence
A. Thiruneelakandan, A. Umamageswari
(2024), pp. 1234-1240
Closed Access
Identification of Kidney Disorders in Decentralized Healthcare Systems through Federated Transfer Learning
Varun Vekaria, Raj Gandhi, Bhargavee Chavarkar, et al.
Procedia Computer Science (2024) Vol. 233, pp. 998-1010
Open Access
Weakly Supervised anomaly detection with privacy preservation under a Bi-Level Federated learning framework
Wei Guo, Pingyu Jiang
Expert Systems with Applications (2024) Vol. 254, pp. 124450-124450
Closed Access
A Novel Federated Transfer Learning Framework Based on Collaborative GAN for Smart Manufacturing
Shijie Li, Qimei Cui, Xiong Li, et al.
2022 IEEE Wireless Communications and Networking Conference (WCNC) (2024), pp. 1-6
Closed Access
A Federated Adversarial Fault Diagnosis Method Driven by Fault Information Discrepancy
Jiechen Sun, Funa Zhou, Jie Chen, et al.
Entropy (2024) Vol. 26, Iss. 9, pp. 718-718
Open Access
LSTM-Based Unsupervised Anomaly Detection in High-Performance Computing: A Federated Learning Approach
Emmen Farooq, Andrea Borghesi
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 7735-7744
Closed Access
DifEvoDenseFed: Differential Evolution Optimization Based DenseNet Federated Model in Alzheimer's detection
Ananya Ghosh, Parthiban Krishnamoorthy
(2023), pp. 1-6
Closed Access
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