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:

Fused Weighted Federated Deep Extreme Machine Learning Based on Intelligent Lung Cancer Disease Prediction Model for Healthcare 5.0
Sagheer Abbas, Ghassan F. Issa, Areej Fatima, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-14
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Technoethical Considerations for Advancing Health Literacy and Medical Practice
Manuel B. Garcia, Precious S. Garcia, Renato R. Maaliw, et al.
Advances in healthcare information systems and administration book series (2024), pp. 1-19
Closed Access | Times Cited: 35

Prediction and detection of terminal diseases using Internet of Medical Things: A review
Akeem Temitope Otapo, Alice Othmani, Ghazaleh Khodabandelou, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109835-109835
Open Access | Times Cited: 1

Deep learning for lungs cancer detection: a review
Rabia Javed, Tahir Abbas, Ali Haider Khan, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 12

FedCSCD-GAN: A secure and collaborative framework for clinical cancer diagnosis via optimized federated learning and GAN
Amir Rehman, Huanlai Xing, Feng Li, et al.
Biomedical Signal Processing and Control (2024) Vol. 89, pp. 105893-105893
Closed Access | Times Cited: 10

Federated Learning Frameworks in Smart e-Healthcare: A Systematic Literature Review with Bias Evaluation
Soumyaranjan Panda, Rajni Dubey, Biswajit Jena, et al.
Applied Soft Computing (2025), pp. 112747-112747
Closed Access

Mapping the Research Landscape of Industry 5.0 from a Machine Learning and Big Data Analytics Perspective: A Bibliometric Approach
Adrian Domenteanu, Bianca Cibu, Camelia Delcea
Sustainability (2024) Vol. 16, Iss. 7, pp. 2764-2764
Open Access | Times Cited: 4

A Blockchain-Empowered Federated Learning-based Framework for Data Privacy in Lung Disease Detection System
Mansi Gupta, Mohit Kumar, Yash Gupta
Computers in Human Behavior (2024) Vol. 158, pp. 108302-108302
Closed Access | Times Cited: 4

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: 4

Monkeypox diagnosis based on probabilistic K-nearest neighbors (PKNN) algorithm
Ahmed I. Saleh, Shaimaa A. Hussien
Computers in Biology and Medicine (2025) Vol. 186, pp. 109676-109676
Closed Access

DKCN-Net: Deep Kronecker Convolutional Neural Network-based lung disease detection with Federated Learning
Alice Meda, Leema Nelson, Mukta Jagdish
Computational Biology and Chemistry (2025) Vol. 116, pp. 108376-108376
Closed Access

A comprehensive secure system enabling healthcare 5.0 using federated learning, intrusion detection and blockchain
Jameel Almalki, Saeed M. Alshahrani, Nayyar Ahmed Khan
PeerJ Computer Science (2024) Vol. 10, pp. e1778-e1778
Open Access | Times Cited: 3

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

Advancing Healthcare IoT: Blockchain and Federated Learning Integration for Enhanced Security and Insights
Rida Malik, Atta ur-Rehaman, Hamza Razzaq, et al.
(2024), pp. 308-314
Closed Access | Times Cited: 1

Diabetes Prediction Empowered with Multi-level Data Fusion and Machine Learning
Ghofran Bassam, Amina Rouai, Reyaz Ahmad, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 10
Open Access | Times Cited: 3

Federated Edge-Cloud Framework for Heart Disease Risk Prediction Using Blockchain
Uttam Ghosh, Debashis Das, Pushpita Chatterjee, et al.
IFIP advances in information and communication technology (2023), pp. 309-329
Closed Access | Times Cited: 3

Healthcare 5.0
P. Dhanasekaran, Sakthivel Velusamy, R. Pavithra, et al.
Advances in healthcare information systems and administration book series (2023), pp. 156-177
Closed Access | Times Cited: 2

Deep Learning Model for Diagnosis of Chronic Diseases
Amelia Chizarum Onunwor, Daniel Matthias, E.O Bennett
IJARCCE (2024) Vol. 13, Iss. 7
Open Access

Lung Cancer Prognosis: A Machine Learning Approach to Symptom-Based Prediction and Early Detection
Shivaan Darda, Sophia Lu, Reetu Jain
Studies in systems, decision and control (2024), pp. 229-244
Closed Access

Healthcare 5.0 opportunities and challenges: A literature review
Chiranjeevi Karri, Lalit Garg, Vijay Prakash, et al.
Elsevier eBooks (2024), pp. 133-146
Closed Access

Impact of Machine Learning Models in the Advancement of Healthcare
Aparna Patange, Deepa T. Patil, Prashant S. Jadhav, et al.
(2024), pp. 215-218
Closed Access

Machine-Learning-Powered Information Systems: A Systematic Literature Review for Developing Multi-Objective Healthcare Management
Maryam Bagheri, Mohsen Bagheritabar, Sohila Alizadeh, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 296-296
Open Access

Machine Learning for Intelligent Healthcare Across Decentralized Patient Databases Using Federated Learning
Samridh Agarwal, Sanchit Khedkar, Subramanian Sankar, et al.
Medical virology (2024), pp. 179-197
Closed Access

FEDRak: Federated Learning-Based Symmetric Code Statement Ranking Model for Software Fault Forecasting
Abdulaziz Alhumam
Symmetry (2023) Vol. 15, Iss. 8, pp. 1562-1562
Open Access | Times Cited: 1

The Role of Federated Learning in Processing Cancer Patients’ Data
Mihailo Ilić, Mirjana Ivanović, Dušan Jakovetić, et al.
Internet of things (2023), pp. 49-68
Closed Access | Times Cited: 1

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