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:

Symmetry in Privacy-Based Healthcare: A Review of Skin Cancer Detection and Classification Using Federated Learning
Muhammad Mateen Yaqoob, Musleh Alsulami, Muhammad Amir Khan, et al.
Symmetry (2023) Vol. 15, Iss. 7, pp. 1369-1369
Open Access | Times Cited: 15

Showing 15 citing articles:

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

Emerging Technologies for Enhancing Robust Cybersecurity Measures for Business Intelligence in Healthcare 5.0
Abdur Rehman Sakhawat, Areej Fatima, Sagheer Abbas, et al.
Advances in business information systems and analytics book series (2024), pp. 270-293
Closed Access | Times Cited: 3

Emerging Research Trends in Artificial Intelligence for Cancer Diagnostic Systems: A Comprehensive Review
Sagheer Abbas, Muhammad Waqas Asif, Abdur Rehman, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e36743-e36743
Open Access | Times Cited: 3

A brain tumour classification on the magnetic resonance images using convolutional neural network based privacy‐preserving federated learning
Şevket Ay, Ekin Ekıncı, Zeynep Garip
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 1
Closed Access | Times Cited: 2

A survey of recent advances in analysis of skin images
Pragya Gupta, Jagannath Nirmal, Ninad Mehendale
Evolutionary Intelligence (2024) Vol. 17, Iss. 5-6, pp. 4155-4178
Closed Access | Times Cited: 2

Federated Learning in Real-Time Medical IoT: Optimizing Privacy and Accuracy for Chronic Disease Monitoring
Et al. Dhairyashil Patil
Deleted Journal (2024) Vol. 19, Iss. 3, pp. 32-42
Open Access | Times Cited: 1

Novel paradigm of therapeutic intervention for skin cancer: challenges and opportunities
Modassir Nasim, Mariya Khan, Rabea Parveen, et al.
Future Journal of Pharmaceutical Sciences (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1

Fed-RHLP: Enhancing Federated Learning with Random High-Local Performance Client Selection for Improved Convergence and Accuracy
Pramote Sittijuk, Kreangsak Tamee
Symmetry (2024) Vol. 16, Iss. 9, pp. 1181-1181
Open Access | Times Cited: 1

Federated learning for solar energy applications: A case study on real-time fault detection
Ibtihal Ait Abdelmoula, Hicham Oufettoul, Nassim Lamrini, et al.
Solar Energy (2024) Vol. 282, pp. 112942-112942
Closed Access | Times Cited: 1

Classification of Cipher Text by Clustering of S-Topological Rough Group
D. Keerthana, V. Visalakshi, Prasanalakshmi Balaji, et al.
IEEE Access (2024) Vol. 12, pp. 119302-119313
Open Access

Improved Skin Cancer Detection Using Efficient NetB7 Machine Learning
Muskan Sharma, Yash Mahajan, Priya Batta, et al.
(2023), pp. 581-586
Closed Access | Times Cited: 1

Skin Cancer Classification with Channel Attention and SMOTE Sampling: A Deep Learning Approach
Mohammad Imtiaj Mahbub, Sk. Md. Masudul Ahsan
2019 4th International Conference on Electrical Information and Communication Technology (EICT) (2023), pp. 1-6
Closed Access

Federated Learning for Secure Healthcare Image Analysis in the Cloud
Neeraj Varshney, Parul Madan, Anurag Shrivastava, et al.
(2023), pp. 1-6
Closed Access

The slicing based spreading analysis for melanoma prediction using reinforcement learning model
Venkata Ashok K Gorantla, Shiva Kumar Sriramulugari, Amit Hasmukhbhai Mewada, et al.
(2023), pp. 1-7
Closed Access

Page 1

Scroll to top