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 for the Internet-of-Medical-Things: A Survey
Vivek Kumar Prasad, Pronaya Bhattacharya, Darshil Maru, et al.
Mathematics (2022) Vol. 11, Iss. 1, pp. 151-151
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, et al.
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 19

Federated Learning for Healthcare: A Comprehensive Review
Pallavi Dhade, Prajakta Shirke
(2024), pp. 230-230
Open Access | Times Cited: 17

Game-o-Meta: Trusted Federated Learning Scheme for P2P Gaming Metaverse beyond 5G Networks
Pronaya Bhattacharya, Ashwin Verma, Vivek Kumar Prasad, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4201-4201
Open Access | Times Cited: 19

A critical literature review of security and privacy in smart home healthcare schemes adopting IoT & blockchain: Problems, challenges and solutions
Olusogo Popoola, Marcos Rodrigues, Jims Marchang, et al.
Blockchain Research and Applications (2023) Vol. 5, Iss. 2, pp. 100178-100178
Open Access | Times Cited: 19

T-BFL model based on two-dimensional trust and blockchain-federated learning for medical data sharing
Rong Jiang, Hejiao Zhang, Zhiming Song, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access

An Approach to Decentralised IoMT Fault Recognition With Digital Twins Using Efficient and Well Organised Federated Learning
Gokulnath Chandra Babu
Advances in healthcare information systems and administration book series (2025), pp. 175-196
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

Federated Learning and Blockchain-Enabled Privacy-Preserving Healthcare 5.0 System: A Comprehensive Approach to Fraud Prevention and Security in IoMT
B. Sindhusaranya, R. Yamini, Manimekalai Dr.M.A.P., et al.
Journal of Internet Services and Information Security (2023) Vol. 13, Iss. 4, pp. 199-209
Open Access | Times Cited: 12

Transforming Tourism Experience: AI-Based Smart Travel Platform
Şuayb Talha Özçelik, Meltem Turhan Yöndem, Inês Caetano, et al.
(2023), pp. 37-45
Closed Access | Times Cited: 12

IoT-Enabled Secure and Intelligent Smart Healthcare
Wasswa Shafik
Advances in computational intelligence and robotics book series (2024), pp. 308-333
Closed Access | Times Cited: 4

A Review of the State of the Art for the Internet of Medical Things
Peter Matthew, Sarah McHale, X.T. Deng, et al.
Sci (2025) Vol. 7, Iss. 2, pp. 36-36
Open Access

Federated Multi-Label Learning (FMLL): Innovative Method for Classification Tasks in Animal Science
Bita Ghasemkhani, Özlem Varlıklar, Yunus Doğan, et al.
Animals (2024) Vol. 14, Iss. 14, pp. 2021-2021
Open Access | Times Cited: 2

IoMT Future Trends and Challenges
Wasswa Shafik
Advances in healthcare information systems and administration book series (2024), pp. 348-370
Closed Access | Times Cited: 2

Privacy Preservation for the IoMT Using Federated Learning and Blockchain Technologies
Shamma Alalawi, Meera Alalawi, Rawhi Alrae
Lecture notes in networks and systems (2024), pp. 713-731
Closed Access | Times Cited: 2

Federated Bayesian optimization XGBoost model for cyberattack detection in internet of medical things
Blessing Guembe, Sanjay Misra, Ambrose Azeta
Journal of Parallel and Distributed Computing (2024) Vol. 193, pp. 104964-104964
Open Access | Times Cited: 1

Artificial Intelligence-Enabled Internet of Medical Things (AIoMT) in Modern Healthcare Practices
Wasswa Shafik
Advances in medical technologies and clinical practice book series (2024), pp. 42-69
Closed Access | Times Cited: 1

ERG-AI: enhancing occupational ergonomics with uncertainty-aware ML and LLM feedback
Sagar Sen, Víctor González, Erik Johannes Husom, et al.
Applied Intelligence (2024)
Open Access | Times Cited: 1

Revolutionizing healthcare: a comparative insight into deep learning’s role in medical imaging
Vivek Kumar Prasad, Ashwin Verma, Pronaya Bhattacharya, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

FedISM: Enhancing Data Imbalance via Shared Model in Federated Learning
Wu‐Chun Chung, Yan‐Hui Lin, Sih-Han Fang
Mathematics (2023) Vol. 11, Iss. 10, pp. 2385-2385
Open Access | Times Cited: 2

A Distributed Cybersecurity Solution in an IoMT Network Using a Multi-target Federated Learning
Zie Eya Ekolle, Ryuji Kohno, Hideki Ochiai
(2023), pp. 1-6
Closed Access | Times Cited: 2

Delivering Improved Care through Remote Health Monitoring Systems by Using Microservices. Case Study: Fall Detection Encompassed into Connected Care
Marilena Ianculescu, Adriana Alexandru, Ionuţ-Emanuel Giura, et al.
(2023), pp. 598-605
Closed Access | Times Cited: 2

The Amalgamation of Federated Learning and Explainable Artificial Intelligence for the Internet of Medical Things: A Review
Chemmalar Selvi Govardanan, Ramalingam Murugan, Gokul Yenduri, et al.
Recent Advances in Computer Science and Communications (2023) Vol. 17, Iss. 4
Closed Access | Times Cited: 2

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

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