
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:
Failure prediction in production line based on federated learning: an empirical study
Ning Ge, Guanghao Li, Li Zhang, et al.
Journal of Intelligent Manufacturing (2021) Vol. 33, Iss. 8, pp. 2277-2294
Closed Access | Times Cited: 36
Ning Ge, Guanghao Li, Li Zhang, et al.
Journal of Intelligent Manufacturing (2021) Vol. 33, Iss. 8, pp. 2277-2294
Closed Access | Times Cited: 36
Showing 1-25 of 36 citing articles:
Federated learning for smart cities: A comprehensive survey
Sharnil Pandya, Gautam Srivastava, Rutvij H. Jhaveri, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 55, pp. 102987-102987
Open Access | Times Cited: 168
Sharnil Pandya, Gautam Srivastava, Rutvij H. Jhaveri, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 55, pp. 102987-102987
Open Access | Times Cited: 168
Towards edge computing in intelligent manufacturing: Past, present and future
Garima Nain, K. K. Pattanaik, G.K. Sharma
Journal of Manufacturing Systems (2022) Vol. 62, pp. 588-611
Closed Access | Times Cited: 132
Garima Nain, K. K. Pattanaik, G.K. Sharma
Journal of Manufacturing Systems (2022) Vol. 62, pp. 588-611
Closed Access | Times Cited: 132
Vertical Federated Learning: Concepts, Advances, and Challenges
Yang Liu, Yan Kang, Tianyuan Zou, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 7, pp. 3615-3634
Open Access | Times Cited: 75
Yang Liu, Yan Kang, Tianyuan Zou, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 7, pp. 3615-3634
Open Access | Times Cited: 75
Smart and collaborative industrial IoT: A federated learning and data space approach
Bahar Farahani, Amin Karimi Monsefi
Digital Communications and Networks (2023) Vol. 9, Iss. 2, pp. 436-447
Open Access | Times Cited: 41
Bahar Farahani, Amin Karimi Monsefi
Digital Communications and Networks (2023) Vol. 9, Iss. 2, pp. 436-447
Open Access | Times Cited: 41
Label synchronization for Hybrid Federated Learning in manufacturing and predictive maintenance
Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro, et al.
Journal of Intelligent Manufacturing (2024)
Open Access | Times Cited: 8
Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro, et al.
Journal of Intelligent Manufacturing (2024)
Open Access | Times Cited: 8
Edge Intelligence for Data Handling and Predictive Maintenance in IIOT
Taimur Hafeez, Lina Xu, Gavin McArdle
IEEE Access (2021) Vol. 9, pp. 49355-49371
Open Access | Times Cited: 54
Taimur Hafeez, Lina Xu, Gavin McArdle
IEEE Access (2021) Vol. 9, pp. 49355-49371
Open Access | Times Cited: 54
Industrial Edge Intelligence: Federated-Meta Learning Framework for Few-Shot Fault Diagnosis
Jiao Chen, Jianhua Tang, Weihua Li
IEEE Transactions on Network Science and Engineering (2023), pp. 1-13
Closed Access | Times Cited: 17
Jiao Chen, Jianhua Tang, Weihua Li
IEEE Transactions on Network Science and Engineering (2023), pp. 1-13
Closed Access | Times Cited: 17
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
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
Federated explainable artificial intelligence (fXAI): a digital manufacturing perspective
Andrew Kusiak
International Journal of Production Research (2023) Vol. 62, Iss. 1-2, pp. 171-182
Closed Access | Times Cited: 15
Andrew Kusiak
International Journal of Production Research (2023) Vol. 62, Iss. 1-2, pp. 171-182
Closed Access | Times Cited: 15
DecFFD: A Personalized Federated Learning Framework for Cross-Location Fault Diagnosis
Dongshang Deng, Wei Zhao, Xuangou Wu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 5, pp. 7082-7091
Closed Access | Times Cited: 5
Dongshang Deng, Wei Zhao, Xuangou Wu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 5, pp. 7082-7091
Closed Access | Times Cited: 5
The Federation Strikes Back: A Survey of Federated Learning Privacy Attacks, Defenses, Applications, and Policy Landscape
Joshua Zhao, Saurabh Bagchi, A. Salman Avestimehr, et al.
ACM Computing Surveys (2025)
Open Access
Joshua Zhao, Saurabh Bagchi, A. Salman Avestimehr, et al.
ACM Computing Surveys (2025)
Open Access
Carbon Emissions Prediction and Optimization Method of Hobbing with Multi-source Data Collaborative Based on Federated Learning
Qian Yi, Yan Xu, Congbo Li, et al.
International Journal of Precision Engineering and Manufacturing-Green Technology (2025)
Closed Access
Qian Yi, Yan Xu, Congbo Li, et al.
International Journal of Precision Engineering and Manufacturing-Green Technology (2025)
Closed Access
BOFRF: A Novel Boosting-Based Federated Random Forest Algorithm on Horizontally Partitioned Data
Mert Gençtürk, Ali Anıl Sınacı, Nihan Kesim Çiçekli
IEEE Access (2022) Vol. 10, pp. 89835-89851
Open Access | Times Cited: 19
Mert Gençtürk, Ali Anıl Sınacı, Nihan Kesim Çiçekli
IEEE Access (2022) Vol. 10, pp. 89835-89851
Open Access | Times Cited: 19
Federated learning with SARIMA-based clustering for carbon emission prediction
Tianxu Cui, Ying Shi, Bo Lv, et al.
Journal of Cleaner Production (2023) Vol. 426, pp. 139069-139069
Closed Access | Times Cited: 12
Tianxu Cui, Ying Shi, Bo Lv, et al.
Journal of Cleaner Production (2023) Vol. 426, pp. 139069-139069
Closed Access | Times Cited: 12
Knowledge distillation-based information sharing for online process monitoring in decentralized manufacturing system
Zhangyue Shi, Yuxuan Li, Chenang Liu
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 4
Zhangyue Shi, Yuxuan Li, Chenang Liu
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 4
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
Jiewu Leng, Richard Li, Junxing Xie, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103179-103179
Closed Access
Collaborative Learning in Shared Production Environment Using Federated Image Classification
Vinit Hegiste, Tatjana Legler, Martin Ruskowski
Lecture notes in mechanical engineering (2025), pp. 98-106
Open Access
Vinit Hegiste, Tatjana Legler, Martin Ruskowski
Lecture notes in mechanical engineering (2025), pp. 98-106
Open Access
Blockchained on-device federated learning-based delivery capacity prediction in a social manufacturing paradigm
Fuqiang Zhang, Haojie Wang, Xueliang Zhou, et al.
Journal of Intelligent Manufacturing (2025)
Closed Access
Fuqiang Zhang, Haojie Wang, Xueliang Zhou, et al.
Journal of Intelligent Manufacturing (2025)
Closed Access
Review on application progress of federated learning model and security hazard protection
Aimin Yang, Zezhong Ma, Chunying Zhang, et al.
Digital Communications and Networks (2022) Vol. 9, Iss. 1, pp. 146-158
Open Access | Times Cited: 18
Aimin Yang, Zezhong Ma, Chunying Zhang, et al.
Digital Communications and Networks (2022) Vol. 9, Iss. 1, pp. 146-158
Open Access | Times Cited: 18
Federated Learning for Predictive Maintenance and Quality Inspection in Industrial Applications
Viktorija Pruckovskaja, Axel Weißenfeld, Clemens Heistracher, et al.
(2023), pp. 312-317
Open Access | Times Cited: 7
Viktorija Pruckovskaja, Axel Weißenfeld, Clemens Heistracher, et al.
(2023), pp. 312-317
Open Access | Times Cited: 7
Federated learning enables privacy-preserving and data-efficient dimension prediction and part qualification across additive manufacturing factories
Manan Mehta, Miles V. Bimrose, Davis J. McGregor, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 752-761
Open Access | Times Cited: 2
Manan Mehta, Miles V. Bimrose, Davis J. McGregor, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 752-761
Open Access | Times Cited: 2
Homophily Learning-Based Federated Intelligence: A Case Study on Industrial IoT Equipment Failure Prediction
Xingjie Zeng, Zepei Yu, Weishan Zhang, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 8, pp. 7356-7365
Closed Access | Times Cited: 9
Xingjie Zeng, Zepei Yu, Weishan Zhang, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 8, pp. 7356-7365
Closed Access | Times Cited: 9
Domain Adaptation and Federated Learning for Ultrasonic Monitoring of Beer Fermentation
Alexander L. Bowler, Michael P. Pound, Nicholas J. Watson
Fermentation (2021) Vol. 7, Iss. 4, pp. 253-253
Open Access | Times Cited: 12
Alexander L. Bowler, Michael P. Pound, Nicholas J. Watson
Fermentation (2021) Vol. 7, Iss. 4, pp. 253-253
Open Access | Times Cited: 12
FL_GIoT: Federated Learning Enabled Edge-Based Green Internet of Things System: A Comprehensive Survey
Joseph Bamidele Awotunde, Samarendra Nath Sur, Rasheed Gbenga Jimoh, et al.
IEEE Access (2023) Vol. 11, pp. 136150-136165
Open Access | Times Cited: 4
Joseph Bamidele Awotunde, Samarendra Nath Sur, Rasheed Gbenga Jimoh, et al.
IEEE Access (2023) Vol. 11, pp. 136150-136165
Open Access | Times Cited: 4
Air Quality Decentralized Forecasting: Integrating IoT and Federated Learning for Enhanced Urban Environmental Monitoring
Vibha Kulkarni, A. Sree Lakshmi, C. Lakshmi, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 4, pp. 16077-16082
Open Access | Times Cited: 1
Vibha Kulkarni, A. Sree Lakshmi, C. Lakshmi, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 4, pp. 16077-16082
Open Access | Times Cited: 1