Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Model aggregation techniques in federated learning: A comprehensive survey
Pian Qi, Diletta Chiaro, Antonella Guzzo, et al.
Future Generation Computer Systems (2023) Vol. 150, pp. 272-293
Open Access | Times Cited: 128

Showing 1-25 of 128 citing articles:

Spatial–Temporal Federated Transfer Learning with multi-sensor data fusion for cooperative positioning
Xiaokang Zhou, Qiuyue Yang, Qiang Liu, et al.
Information Fusion (2023) Vol. 105, pp. 102182-102182
Closed Access | Times Cited: 45
Multi-task federated learning-based system anomaly detection and multi-classification for microservices architecture
Junfeng Hao, Peng Chen, Juan Chen, et al.
Future Generation Computer Systems (2024) Vol. 159, pp. 77-90
Closed Access | Times Cited: 34
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends
M. Victoria Luzón, Nuria Rodríguez-Barroso, Alberto Argente-Garrido, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 4, pp. 824-850
Closed Access | Times Cited: 19
ATD Learning: A secure, smart, and decentralised learning method for big data environments
Laith Alzubaidi, Sabah Abdulazeez Jebur, Tanya Abdulsattar Jaber, et al.
Information Fusion (2025), pp. 102953-102953
Open Access | Times Cited: 2
Green Federated Learning: A New Era of Green Aware AI
Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino, et al.
ACM Computing Surveys (2025)
Open Access | Times Cited: 2
A federated learning model with the whale optimization algorithm for renewable energy prediction
Viorica Rozina Chifu, Tudor Cioara, Cristian Daniel Anitei, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110259-110259
Open Access | Times Cited: 2
Self-supervised spatial–temporal transformer fusion based federated framework for 4D cardiovascular image segmentation
Moona Mazher, Imran Razzak, Abdul Qayyum, et al.
Information Fusion (2024) Vol. 106, pp. 102256-102256
Open Access | Times Cited: 13
Anomaly detection based on LSTM and autoencoders using federated learning in smart electric grid
Rakesh Shrestha, Mohammadreza Mohammadi, Sima Sinaei, et al.
Journal of Parallel and Distributed Computing (2024) Vol. 193, pp. 104951-104951
Open Access | Times Cited: 11
Privacy preservation for federated learning in health care
Sarthak Pati, Sourav Kumar, A. Varma, et al.
Patterns (2024) Vol. 5, Iss. 7, pp. 100974-100974
Open Access | Times Cited: 11
A Survey of Security Strategies in Federated Learning: Defending Models, Data, and Privacy
Habib Ullah Manzoor, Attia Shabbir, Ao Chen, et al.
Future Internet (2024) Vol. 16, Iss. 10, pp. 374-374
Open Access | Times Cited: 11
Blockchain-Inspired Collaborative Cyber-Attacks Detection for Securing Metaverse
Ahmad Zainudin, Made Adi Paramartha Putra, Revin Naufal Alief, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 10, pp. 18221-18236
Closed Access | Times Cited: 9
Survey: federated learning data security and privacy-preserving in edge-Internet of Things
Haiao Li, Lina Ge, Lei Tian
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 9
Privacy-Preserving and Collaborative Federated Learning Model for the Detection of Ocular Diseases
Seema Gulati, Kalpna Guleria, Nitin Goyal
International Journal of Mathematical Engineering and Management Sciences (2025) Vol. 10, Iss. 1, pp. 218-248
Closed Access | Times Cited: 1
Artificial Intelligence as a Service (AIaaS) for Cloud, Fog and the Edge: State-of-the-Art Practices
Naeem Firdous Syed, Adnan Anwar, Zubair Baig, et al.
ACM Computing Surveys (2025)
Closed Access | Times Cited: 1
Learning-based aggregation of Quasi-Nonlinear Fuzzy Cognitive Maps
Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzębska, et al.
Neurocomputing (2025), pp. 129611-129611
Closed Access | Times Cited: 1
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 | Times Cited: 1
Balancing centralisation and decentralisation in federated learning for Earth Observation-based agricultural predictions
Robert Cowlishaw, Nicolas Longépé, Annalisa Riccardi
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
A Review of Federated Learning in Agriculture
Krista Rizman Žalik, Mitja Žalik
Sensors (2023) Vol. 23, Iss. 23, pp. 9566-9566
Open Access | Times Cited: 17
Small models, big impact: A review on the power of lightweight Federated Learning
Pian Qi, Diletta Chiaro, Francesco Piccialli
Future Generation Computer Systems (2024) Vol. 162, pp. 107484-107484
Open Access | Times Cited: 8
Enhancing medical image classification via federated learning and pre-trained model
Parvathaneni Naga Srinivasu, G. Jaya Lakshmi, Sujatha Canavoy Narahari, et al.
Egyptian Informatics Journal (2024) Vol. 27, pp. 100530-100530
Open Access | Times Cited: 8
A hierarchical federated learning framework for collaborative quality defect inspection in construction
Haitao Wu, Heng Li, Hung-Lin Chi, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108218-108218
Closed Access | Times Cited: 6
A survey on state-of-the-art experimental simulations for privacy-preserving federated learning in intelligent networking
Seyha Ros, Prohim Tam, Inseok Song, et al.
Electronic Research Archive (2024) Vol. 32, Iss. 2, pp. 1333-1364
Open Access | Times Cited: 5
FedGA: A greedy approach to enhance federated learning with Non-IID data
Yue Cong, Yuxiang Zeng, Jing Qiu, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112201-112201
Closed Access | Times Cited: 5
Communication-Efficient Federated Learning with Adaptive Aggregation for Heterogeneous Client-Edge-Cloud Network
Long Luo, Chi Zhang, Hongfang Yu, et al.
IEEE Transactions on Services Computing (2024) Vol. 17, Iss. 6, pp. 3241-3255
Closed Access | Times Cited: 4
Trustworthy Federated Learning: A Comprehensive Review, Architecture, Key Challenges, and Future Research Prospects
Asadullah Tariq, Mohamed Adel Serhani, Farag Sallabi, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 4920-4998
Open Access | Times Cited: 4
Page 1 - Next Page

Scroll to top