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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:

FedSGDCOVID: Federated SGD COVID-19 Detection under Local Differential Privacy Using Chest X-ray Images and Symptom Information
Trang-Thi Ho, Khoa-Dang Tran, Yennun Huang
Sensors (2022) Vol. 22, Iss. 10, pp. 3728-3728
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

A Review of Privacy Enhancement Methods for Federated Learning in Healthcare Systems
Xin Gu, Fariza Sabrina, Zongwen Fan, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 15, pp. 6539-6539
Open Access | Times Cited: 45
Federated Learning for Medical Image Analysis with Deep Neural Networks
Sajid Nazir, Mohammad Kaleem
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1532-1532
Open Access | Times Cited: 38
Federated Learning Approach for Early Detection of Chest Lesion Caused by COVID-19 Infection Using Particle Swarm Optimization
Dasaradharami Reddy Kandati, Thippa Reddy Gadekallu
Electronics (2023) Vol. 12, Iss. 3, pp. 710-710
Open Access | Times Cited: 24
Survey on Federated Learning enabling indoor navigation for industry 4.0 in B5G
Saeed Hamood Alsamhi, Alexey V. Shvetsov, Ammar Hawbani, et al.
Future Generation Computer Systems (2023) Vol. 148, pp. 250-265
Closed Access | Times Cited: 22
Blockchain for medical collaboration: A federated learning-based approach for multi-class respiratory disease classification
Abdulla All Noman, Mustafizur Rahaman, Tahmid Hasan Pranto, et al.
Healthcare Analytics (2023) Vol. 3, pp. 100135-100135
Open Access | Times Cited: 21
A comparative study of federated learning methods for COVID-19 detection
Erfan Darzi, Nanna M. Sijtsema, Peter M. A. van Ooijen
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
The Data Heterogeneity Issue Regarding COVID-19 Lung Imaging in Federated Learning: An Experimental Study
Fatimah Al-Hafiz, Abdullah Basuhail
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 1, pp. 11-11
Open Access
Federated learning for Healthcare 5.0: a comprehensive survey, taxonomy, challenges, and solutions
Muhammad Amin, Shabir Ahmad, Woong-Kee Loh
Soft Computing (2025)
Closed Access
A Catalogue of Machine Learning Algorithms for Healthcare Risk Predictions
Argyro Mavrogiorgou, Athanasios Kiourtis, Spyridon Kleftakis, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8615-8615
Open Access | Times Cited: 22
On the Adoption of Modern Technologies to Fight the COVID-19 Pandemic: A Technical Synthesis of Latest Developments
Abdul Majeed, Xiaohan Zhang
COVID (2023) Vol. 3, Iss. 1, pp. 90-123
Open Access | Times Cited: 12
An FTwNB Shield: A Credit Risk Assessment Model for Data Uncertainty and Privacy Protection
Shaona Hua, Chunying Zhang, Guanghui Yang, et al.
Mathematics (2024) Vol. 12, Iss. 11, pp. 1695-1695
Open Access | Times Cited: 3
Applications and Challenges of Federated Learning Paradigm in the Big Data Era with Special Emphasis on COVID-19
Abdul Majeed, Xiaohan Zhang, Seong Oun Hwang
Big Data and Cognitive Computing (2022) Vol. 6, Iss. 4, pp. 127-127
Open Access | Times Cited: 18
Medical Imaging Applications of Federated Learning
Sukhveer Singh Sandhu, Hamed Taheri Gorji, Pantea Tavakolian, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3140-3140
Open Access | Times Cited: 8
A Comprehensive Analysis of Privacy-Preserving Solutions Developed for Online Social Networks
Abdul Majeed, Safiullah Khan, Seong Oun Hwang
Electronics (2022) Vol. 11, Iss. 13, pp. 1931-1931
Open Access | Times Cited: 12
A new federated learning-based wireless communication and client scheduling solution for combating COVID-19
Shuhong Chen, Zhiyong Jie, Guojun Wang, et al.
Computer Communications (2023) Vol. 206, pp. 101-109
Open Access | Times Cited: 7
Differential privacy preserved federated learning for prognostic modeling in COVID‐19 patients using large multi‐institutional chest CT dataset
Isaac Shiri, Yazdan Salimi, Nasim Sirjani, et al.
Medical Physics (2024) Vol. 51, Iss. 7, pp. 4736-4747
Open Access | Times Cited: 2
Polarization networks around the SDGs in the press from 2020 to 2023
Cruz Garcí­a Lirios, Julio E. Crespo, Juan Masilla Sepulveda, et al.
Heritage and Sustainable Development ISSN 2712-0554 (2024) Vol. 6, Iss. 1, pp. 67-76
Open Access | Times Cited: 2
Efficient differential privacy enabled federated learning model for detecting COVID-19 disease using chest X-ray images
Rawia Ahmed, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 2
Role of federated learning in healthcare systems: A survey
Neeta Rana, Hitesh Marwaha
Mathematical Foundations of Computing (2023) Vol. 7, Iss. 4, pp. 459-484
Open Access | Times Cited: 5
FedMDO: Privacy-preserving Federated Learning via Mixup Differential Objective
Xianyao You, Caiyun Liu, Jun Li, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 10, pp. 10449-10463
Closed Access | Times Cited: 1
Federated learning as a smart tool for research on infectious diseases
Laura C. Zwiers, Diederick E. Grobbee, Alicia Uijl, et al.
BMC Infectious Diseases (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Non-IID Medical Imaging Data on COVID-19 in the Federated Learning Framework: Impact and Directions
Fatimah Al-Hafiz, Abdullah Basuhail
COVID (2024) Vol. 4, Iss. 12, pp. 1985-2016
Open Access | Times Cited: 1
Neural network-based strategies for automatically diagnosing of COVID-19 from X-ray images utilizing different feature extraction algorithms
Farida Siddiqi Prity, Nishu Nath, Antara Nath, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2023) Vol. 12, Iss. 1
Closed Access | Times Cited: 3
Federated Learning for Computer-Aided Diagnosis of Glaucoma Using Retinal Fundus Images
Telmo Baptista, Carlos Soares, Tiago Oliveira, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11620-11620
Open Access | Times Cited: 3
FedISM: Enhancing Data Imbalance via Shared Model in Federated Learning
Wu‐Chun Chung, Yan‐Hui Lin, Sih-Han Fang
Mathematics (2023) Vol. 11, Iss. 10, pp. 2385-2385
Open Access | Times Cited: 2
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