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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:

An Adaptive Federated Machine Learning-Based Intelligent System for Skin Disease Detection: A Step toward an Intelligent Dermoscopy Device
Manzoor Ahmed Hashmani, Syed Muslim Jameel, Syed Sajjad Hussain Rizvi, et al.
Applied Sciences (2021) Vol. 11, Iss. 5, pp. 2145-2145
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A Comprehensive Survey on Federated Learning Techniques for Healthcare Informatics
Dasaradharami Reddy Kandati, Thippa Reddy Gadekallu
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 57
Reviewing Federated Machine Learning and Its Use in Diseases Prediction
Mohammad Moshawrab, Mehdi Adda, Abdenour Bouzouane, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2112-2112
Open Access | Times Cited: 46
A Systematic Review on Federated Learning in Medical Image Analysis
Md Fahimuzzman Sohan, Anas Basalamah
IEEE Access (2023) Vol. 11, pp. 28628-28644
Open Access | Times Cited: 36
A Review of Medical Federated Learning: Applications in Oncology and Cancer Research
Alexander Chowdhury, Hasan Kassem, Nicolas Padoy, et al.
Lecture notes in computer science (2022), pp. 3-24
Open Access | Times Cited: 32
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: 16
Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study
Shafia Riaz, Ahmad Naeem, Hassaan Malik, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8457-8457
Open Access | Times Cited: 16
Federated Machine Learning for Skin Lesion Diagnosis: An Asynchronous and Weighted Approach
Muhammad Mateen Yaqoob, Musleh Alsulami, Muhammad Amir Khan, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1964-1964
Open Access | Times Cited: 14
Federated and transfer learning for cancer detection based on image analysis
Amine Bechar, Rafik Medjoudj, Youssef Elmir, et al.
Neural Computing and Applications (2025)
Open Access
FedViTBloc: Secure and privacy-enhanced medical image analysis with federated vision transformer and blockchain
Gabriel Chukwunonso Amaizu, Akshita Maradapu Vera Venkata Sai, Sanjay Bwardwaj, et al.
High-Confidence Computing (2025), pp. 100302-100302
Open Access
Deep Multilevel Feature Fusion: An Xception-Based Framework Enhanced by Assorted Attention Mechanism for Improved Melanoma Diagnosis
Mahood J.K., M. Padmavathamma
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2025) Vol. 11, Iss. 1, pp. 3635-3644
Open Access
Multimodal Melanoma Detection with Federated Learning
Bless Lord Y. Agbley, Jianping Li, Amin Ul Haq, et al.
2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (2021), pp. 238-244
Closed Access | Times Cited: 30
Deterioration of Electrical Load Forecasting Models in a Smart Grid Environment
Abdul Azeem, Idris Ismail, Syed Muslim Jameel, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4363-4363
Open Access | Times Cited: 17
Medical Imaging Applications of Federated Learning
Sukhveer Sandhu, Hamed Taheri Gorji, Pantea Tavakolian, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3140-3140
Open Access | Times Cited: 8
Exploring heterogeneous data distribution issues in e-health federated systems
Giovanni Paragliola, Patrizia Ribino
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106039-106039
Closed Access | Times Cited: 2
AI-Based Detection Techniques for Skin Diseases: A Review of Recent Methods, Datasets, Metrics, and Challenges
Oluwayemisi Jaiyeoba, Oluwaseyi Jaiyeoba, Emeka Ogbuju, et al.
Journal of Future Artificial Intelligence and Technologies (2024) Vol. 1, Iss. 3, pp. 318-336
Closed Access | Times Cited: 2
Privacy-Preserving Machine Learning for E-Health Applications: A Survey
Jared Romeo, Mahmoud Abdelkader Bashery Abbass, Ahmed Sherif, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
High-Precision Skin Disease Diagnosis through Deep Learning on Dermoscopic Images
Sadia Malik, Syed Shahryar Jamil, Abdul Aziz, et al.
Bioengineering (2024) Vol. 11, Iss. 9, pp. 867-867
Open Access | Times Cited: 1
Federated learning based multi‐head attention framework for medical image classification
Naima Firdaus, Zahid Raza
Concurrency and Computation Practice and Experience (2024)
Closed Access | Times Cited: 1
SkinHealthMate App: An AI-Powered Digital Platform for Skin Disease Diagnosis
Amina Aboulmira, Mohamed Lachgar, Hamid Hrimech, et al.
Systems and Soft Computing (2024) Vol. 6, pp. 200166-200166
Open Access | Times Cited: 1
Skin Disease Detection: Machine Learning vs Deep Learning
Samir Kumar Bandyopadhyay, Amiya Bhaumik, Sandeep Poddar
(2021)
Open Access | Times Cited: 10
Uses of AI in Field of Radiology- What is State of Doctor & Pateints Communication in Different Disease for Diagnosis Purpose
Roshan Kumar, Prachi Sood, Ravindra Kumar Nirala, et al.
Journal for Research in Applied Sciences and Biotechnology (2023) Vol. 2, Iss. 5, pp. 51-60
Open Access | Times Cited: 3
A Comprehensive Review on Skin Disease Classification Using Convolutional Neural Network and Support Vector Machine
Shivani B. Mishra, Sonali Satpathy, Shrishti Malkani, et al.
Communications in computer and information science (2023), pp. 726-746
Closed Access | Times Cited: 2
FeDeFo: A Personalized Federated Deep Forest Framework for Alzheimer’s Disease Diagnosis
Qian Chen, Hui Xiong, Jiyun Li
Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering (2023) Vol. 2023, pp. 572-577
Open Access | Times Cited: 2
Analyzing Skin Disease Using XCNN (eXtended Convolutional Neural Network)
Ashish Tripathi, Arun Kumar Singh, Adarsh Singh, et al.
International Journal of Software Science and Computational Intelligence (2022) Vol. 14, Iss. 1, pp. 1-30
Closed Access | Times Cited: 3
Automated Multiclass Dermatological Diagnosis Prediction using Improved Mobile-Net Model
Uma Rani, J. Anupriya
(2024), pp. 1-5
Closed Access
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