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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 disaster classification in social computing networks
Zehui Zhang, Ningxin He, Dongyu Li, et al.
Journal of Safety Science and Resilience (2021) Vol. 3, Iss. 1, pp. 15-23
Open Access | Times Cited: 19

Showing 19 citing articles:

FedMicro-IDA: A federated learning and microservices-based framework for IoT data analytics
Safa Ben Atitallah, Maha Driss, Henda Ben Ghézala
Internet of Things (2023) Vol. 23, pp. 100845-100845
Closed Access | Times Cited: 22
A Review on Intelligent Energy Management Systems for Future Electric Vehicle Transportation
Zeinab Teimoori, Abdulsalam Yassine
Sustainability (2022) Vol. 14, Iss. 21, pp. 14100-14100
Open Access | Times Cited: 34
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
Advancements in Federated Learning: Models, Methods, and Privacy
Huiming Chen, Huandong Wang, Qingyue Long, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 2, pp. 1-39
Open Access | Times Cited: 5
The development of new remote technologies in disaster medicine education: A scoping review
Chia‐Lung Kao, Li-Chien Chien, Mei-Chin Wang, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 14
Analysis on methods to effectively improve transfer learning performance
Honghui Xu, Wei Li, Zhipeng Cai
Theoretical Computer Science (2022) Vol. 940, pp. 90-107
Closed Access | Times Cited: 14
Context-aggregator: An approach of loss- and class imbalance-aware aggregation in federated learning
Qamar Abbas, Khalid Mahmood Malik, Abdul Khader Jilani Saudagar, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107167-107167
Closed Access | Times Cited: 5
Application of Federated Machine Learning in Manufacturing
Vinit Hegiste, Tatjana Legler, Martin Ruskowski
(2022), pp. 1-8
Open Access | Times Cited: 8
Multi-modal mining of crowd-sourced data: Efficient provision of humanitarian aid to remote regions affected by natural disasters
Sadegh Khanmohammadi, Emadaldin Mohammadi Golafshani, Yu Bai, et al.
International Journal of Disaster Risk Reduction (2023) Vol. 96, pp. 103972-103972
Open Access | Times Cited: 4
FedEmb: A Vertical and Hybrid Federated Learning Algorithm using Network And Feature Embedding Aggregation
Fanfei Meng, Lele Zhang, Yu Chen, et al.
(2023)
Open Access | Times Cited: 3
Application of federated learning in manufacturing
Vinit Hegiste, Tatjana Legler, Martin Ruskowski
arXiv (Cornell University) (2022)
Open Access | Times Cited: 4
Learning Driver-Irrelevant Features for Generalizable Driver Behavior Recognition
Hang Gao, Mengting Hu, Yi Liu
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 10, pp. 14115-14127
Closed Access
DDC-Chat: Achieving accurate distracted driver classification through instruction tuning of visual language model
Chen-Chi Liao, Kairong Lin
Journal of Safety Science and Resilience (2024)
Open Access
Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations
Elaheh Jafarigol, Theodore B. Trafalis, Talayeh Razzaghi, et al.
Springer optimization and its applications (2024), pp. 87-121
Closed Access
FedEmb: A Vertical and Hybrid Federated Learning Algorithm using Network And Feature Embedding Aggregation
Fanfei Meng, Lele Zhang, Yu Chen, et al.
(2023)
Open Access | Times Cited: 1
A federated learning framework based on transfer learning and knowledge distillation for targeted advertising
Caiyu Su, Jinri Wei, Lei Yuan, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1496-e1496
Open Access
Detection of Natural Disasters Using Machine Learning and Computer Vision by Replacing the Need of Sensors
J. Bosco, Lavanya Yavagal, Lohith T. Srinivas, et al.
Lecture notes in networks and systems (2023), pp. 735-748
Closed Access
A Proposal for a Federated Learning Protocol for Mobile and Management Systems
Jakub Michalek, Václav Oujezský, Martin Holik, et al.
Applied Sciences (2023) Vol. 14, Iss. 1, pp. 101-101
Open Access
Multimodal Fusion for Disaster Event Classification on Social Media: A Deep Federated Learning Approach
Ayoub El-Niss, Ahmad Alzu’bi, Abdelrahman Abuarqoub
(2023), pp. 758-763
Closed Access
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