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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 learning based Covid‐19 detection
Deepraj Chowdhury, Soham Banerjee, Madhushree Sannigrahi, et al.
Expert Systems (2022) Vol. 40, Iss. 5
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays
Hassaan Malik, Ahmad Naeem, Rizwan Ali Naqvi, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 743-743
Open Access | Times Cited: 49
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: 41
Blockchain-Based Personalized Federated Learning for Internet of Medical Things
Zhuotao Lian, Weizheng Wang, Zhaoyang Han, et al.
IEEE Transactions on Sustainable Computing (2023) Vol. 8, Iss. 4, pp. 694-702
Closed Access | Times Cited: 35
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
Federated learning with deep convolutional neural networks for the detection of multiple chest diseases using chest x-rays
Hassaan Malik, Tayyaba Anees
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 63017-63045
Closed Access | Times Cited: 7
The cybersecurity mesh: A comprehensive survey of involved artificial intelligence methods, cryptographic protocols and challenges for future research
Bruno Ramos-Cruz, Javier Andreu-Pérez, Luis Martı́nez
Neurocomputing (2024) Vol. 581, pp. 127427-127427
Open Access | Times Cited: 6
Investigating the impact of data heterogeneity on the performance of federated learning algorithm using medical imaging
Muhammad Ali Babar, Basit Qureshi, Anis Koubâa
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0302539-e0302539
Open Access | Times Cited: 6
Review of Federated Learning and Machine Learning-Based Methods for Medical Image Analysis
Netzahualcoyotl Hernandez-Cruz, Pramit Saha, Md. Mostafa Kamal Sarker, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 9, pp. 99-99
Open Access | Times Cited: 5
A Novel Governance Framework: A Federated Learning Approach for Asthma Care in Fog, Cloud, and IoMT-Based eHealth
B D Amin, Ghalem Belalem, Benatta Dalila, et al.
Algorithms for intelligent systems (2025), pp. 57-69
Closed Access
Information Modeling Technique to Decipher Research Trends of Federated Learning in Healthcare
Rishu, Vinay Kukreja, Shanmugasundaram Hariharan, et al.
The Open Neuroimaging Journal (2025) Vol. 18, Iss. 1
Open Access
Edge intelligence-assisted smart healthcare solution for health pandemic: a federated environment approach
Ankush Manocha, Sandeep K. Sood, Munish Bhatia
Cluster Computing (2024) Vol. 27, Iss. 5, pp. 5611-5630
Closed Access | Times Cited: 4
Leveraging Artificial Intelligence in Blockchain-Based E-Health for Safer Decision Making Framework
Abdulatif Alabdulatif, Muneerah Al Asqah, Tarek Moulahi, et al.
Applied Sciences (2023) Vol. 13, Iss. 2, pp. 1035-1035
Open Access | Times Cited: 9
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
Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools
Giang V. Nguyen, Judith Sáinz-Pardo Díaz, Amanda Calatrava, et al.
Artificial Intelligence Review (2024) Vol. 58, Iss. 2
Open Access | Times Cited: 1
Using Edge Computing framework with the Internet of Things for Intelligent Vertical Gardening
Abhimanyu Bhowmik, Madhushree Sannigrahi, Pushan Kumar Dutta, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 3
Secret learning for lung cancer diagnosis—a study with homomorphic encryption, texture analysis and deep learning
Subhrangshu Adhikary, Subhayu Dutta, Ashutosh Dhar Dwivedi
Biomedical Physics & Engineering Express (2023) Vol. 10, Iss. 1, pp. 015011-015011
Closed Access | Times Cited: 3
Artificial Intelligence-Driven Ensemble Model for Predicting Mortality Due to COVID-19 in East Africa
Kedir Hussein Abegaz, İlker Etikan
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2861-2861
Open Access | Times Cited: 4
An IoT-Based Wristband for Automatic People Tracking, Contact Tracing and Geofencing for COVID-19
Sharanya Mahapatra, Vishali Kannan, Srinidhi Seshadri, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9902-9902
Open Access | Times Cited: 4
Detection of COVID-19 Disease Using Federated Learning
Saurabh Dixit, C.L.P. Gupta
Communications in computer and information science (2024), pp. 34-43
Closed Access
Technical considerations of federated learning in digital healthcare systems
Emmanuel C. Alozie, Hawau I. Olagunju, Nasir Faruk, et al.
Elsevier eBooks (2024), pp. 237-282
Closed Access
Design and Application of Art Design Information Teaching System Based on Federated Learning
Yawen Zhao, Licheng Gao
International Journal of e-Collaboration (2024) Vol. 20, Iss. 1, pp. 1-20
Open Access
A privacy-preserving expert system for collaborative medical diagnosis across multiple institutions using federated learning
S. Markkandan, N. P. G. Bhavani, Srigitha S Nath
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition
Ivan Reyes-Amezcua, Michael Rojas-Ruiz, Gilberto Ochoa‐Ruiz, et al.
Lecture notes in computer science (2024), pp. 168-181
Closed Access
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