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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:

Sustainability of Healthcare Data Analysis IoT-Based Systems Using Deep Federated Learning
Haya Elayan, Moayad Aloqaily, Mohsen Guizani
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 10, pp. 7338-7346
Closed Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

Federated learning review: Fundamentals, enabling technologies, and future applications
Syreen Banabilah, Moayad Aloqaily, Eitaa Alsayed, et al.
Information Processing & Management (2022) Vol. 59, Iss. 6, pp. 103061-103061
Closed Access | Times Cited: 280
Review on security of federated learning and its application in healthcare
Hao Li, Chengcheng Li, Jian Wang, et al.
Future Generation Computer Systems (2023) Vol. 144, pp. 271-290
Closed Access | Times Cited: 69
Federated Learning and Blockchain-Enabled Fog-IoT Platform for Wearables in Predictive Healthcare
Marc Jayson Baucas, Petros Spachos, Konstantinos N. Plataniotis
IEEE Transactions on Computational Social Systems (2023) Vol. 10, Iss. 4, pp. 1732-1741
Open Access | Times Cited: 56
Smart buildings: Federated learning-driven secure, transparent and smart energy management system using XAI
Muhammad Adnan Khan, Muhammad Sajid Farooq, Muhammad Saleem, et al.
Energy Reports (2025) Vol. 13, pp. 2066-2081
Closed Access | Times Cited: 2
Conceptualizing Digital Twins
Romina Eramo, Francis Bordeleau, Benoît Combemale, et al.
IEEE Software (2021) Vol. 39, Iss. 2, pp. 39-46
Open Access | Times Cited: 84
High-Quality Model Aggregation for Blockchain-Based Federated Learning via Reputation-Motivated Task Participation
Jiahao Qi, Feilong Lin, Zhongyu Chen, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 19, pp. 18378-18391
Closed Access | Times Cited: 57
Security of Blockchain and AI-Empowered Smart Healthcare: Application-Based Analysis
Abdulatif Alabdulatif, Ibrahim Khalil, Mohammad Saidur Rahman
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 11039-11039
Open Access | Times Cited: 55
On the feasibility of Federated Learning towards on-demand client deployment at the edge
Mario Chahoud, Safa Otoum, Azzam Mourad
Information Processing & Management (2022) Vol. 60, Iss. 1, pp. 103150-103150
Closed Access | Times Cited: 38
Privacy-preserving knowledge sharing for few-shot building energy prediction: A federated learning approach
Lingfeng Tang, Haipeng Xie, Xiaoyang Wang, et al.
Applied Energy (2023) Vol. 337, pp. 120860-120860
Closed Access | Times Cited: 35
Step towards secure and reliable smart grids in Industry 5.0: A federated learning assisted hybrid deep learning model for electricity theft detection using smart meters
Muhammad Hamza Zafar, Syed Muhammad Salman Bukhari, Mohamad Abou Houran, et al.
Energy Reports (2023) Vol. 10, pp. 3001-3019
Open Access | Times Cited: 31
Artificial intelligence-assisted dermatology diagnosis: From unimodal to multimodal
Nan Luo, Xiaojing Zhong, Luxin Su, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107413-107413
Open Access | Times Cited: 26
Clinicians’ Perspectives on Healthcare Cybersecurity and Cyber Threats
Abdullah T Alanazi
Cureus (2023)
Open Access | Times Cited: 26
A federated learning system with data fusion for healthcare using multi-party computation and additive secret sharing
Tasiu Muazu, Yingchi Mao, Abdullahi Uwaisu Muhammad, et al.
Computer Communications (2024) Vol. 216, pp. 168-182
Closed Access | Times Cited: 10
Review on Federated Learning for digital transformation in healthcare through big data analytics
Muhammad Ali Babar, Basit Qureshi, Anis Koubâa
Future Generation Computer Systems (2024) Vol. 160, pp. 14-28
Closed Access | Times Cited: 10
A Lightweight Neural Network Model for Disease Risk Prediction in Edge Intelligent Computing Architecture
Feng Zhou, Shijing Hu, Xin Du, et al.
Future Internet (2024) Vol. 16, Iss. 3, pp. 75-75
Open Access | Times Cited: 9
Fog computing in enabling 5G-driven emerging technologies for development of sustainable smart city infrastructures
Siddhant Jain, Shashank Gupta, K. K. Sreelakshmi, et al.
Cluster Computing (2022) Vol. 25, Iss. 2, pp. 1111-1154
Closed Access | Times Cited: 37
Artificial intelligence implication on energy sustainability in Internet of Things: A survey
Nadia Charef, Adel Ben Mnaouer, Moayad Aloqaily, et al.
Information Processing & Management (2022) Vol. 60, Iss. 2, pp. 103212-103212
Closed Access | Times Cited: 32
A Deep-Learning-Based Solution for Securing the Power Grid Against Load Altering Threats by IoT-Enabled Devices
Hamidreza Jahangir, Subhash Lakshminarayana, Carsten Maple, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 12, pp. 10687-10697
Open Access | Times Cited: 20
Multiagent Federated Reinforcement Learning for Resource Allocation in UAV-Enabled Internet of Medical Things Networks
Abegaz Mohammed Seid, Aiman Erbad, Hayla Nahom Abishu, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 22, pp. 19695-19711
Open Access | Times Cited: 19
On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme
Mario Chahoud, Hani Sami, Azzam Mourad, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 18, pp. 15822-15834
Open Access | Times Cited: 18
A Scalable Federated Learning Approach for Collaborative Smart Healthcare Systems With Intermittent Clients Using Medical Imaging
Farhan Ullah, Gautam Srivastava, Heng Xiao, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 6, pp. 3293-3304
Closed Access | Times Cited: 18
FedMint: Intelligent Bilateral Client Selection in Federated Learning With Newcomer IoT Devices
Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 23, pp. 20884-20898
Open Access | Times Cited: 16
FedRadar: Federated Multi-Task Transfer Learning for Radar-Based Internet of Medical Things
Xikang Jiang, Jinhui Zhang, Lin Zhang
IEEE Transactions on Network and Service Management (2023) Vol. 20, Iss. 2, pp. 1459-1469
Open Access | Times Cited: 16
A Survey of Federated Learning From Data Perspective in the Healthcare Domain: Challenges, Methods, and Future Directions
Zahraa K. Taha, Chong Tak Yaw, Siaw Paw Koh, et al.
IEEE Access (2023) Vol. 11, pp. 45711-45735
Open Access | Times Cited: 14
RL-Based Federated Learning Framework Over Blockchain (RL-FL-BC)
Ali Riahi, Amr Mohamed, Aiman Erbad
IEEE Transactions on Network and Service Management (2023) Vol. 20, Iss. 2, pp. 1587-1599
Closed Access | Times Cited: 13
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