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:

Fog-Based Smart Cardiovascular Disease Prediction System Powered by Modified Gated Recurrent Unit
A Angel Nancy, D. Ravindran, P. M. Durai Raj Vincent, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 2071-2071
Open Access | Times Cited: 13

Showing 13 citing articles:

DEEP-CARDIO: Recommendation System for Cardiovascular Disease Prediction Using IoT Network
A. Yashudas, Dinesh Gupta, G. C. Prashant, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 9, pp. 14539-14547
Closed Access | Times Cited: 20

IoT-Cloud-Centric Smart Healthcare Monitoring System for Heart Disease Prediction Using a Gated-Controlled Deep Unfolding Network with Crayfish Optimization
Harish Kumar, Anuradha Taluja, Romesh Prasad, et al.
International Journal of Computational Intelligence and Applications (2025)
Closed Access

DengueFog: A Fog Computing-Enabled Weighted Random Forest-Based Smart Health Monitoring System for Automatic Dengue Prediction
Ashima Kukkar, Yugal Kumar, Jasminder Kaur Sandhu, et al.
Diagnostics (2024) Vol. 14, Iss. 6, pp. 624-624
Open Access | Times Cited: 3

Applications of Fog Computing in Healthcare
Naveen Jeyaraman, Madhan Jeyaraman, Sankalp Yadav, et al.
Cureus (2024)
Open Access | Times Cited: 2

An optimized deep learning framework to enhance internet of things and fog based health care monitoring paradigm
Vuppala Sukanya, Prashant Jawade, M. Jayanthi
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1

iCardo 3.0: A Machine Learning Framework for Prediction of Conduction Disturbance in Heart
Nidhi Sinha, Amit M. Joshi, Saraju P. Mohanty
Lecture notes in networks and systems (2024), pp. 351-359
Closed Access

iCardo 3.0: ECG-Based Prediction of Conduction Disturbances Using Demographic Features
Nidhi Sinha, Amit M. Joshi, Saraju P. Mohanty
SN Computer Science (2024) Vol. 5, Iss. 4
Closed Access

Self-Adaptable Software for Pre-Programmed Internet Tasks: Enhancing Reliability and Efficiency
Mario Martínez García, Luis Carlos G. Martínez Rodríguez, Ricardo Pérez Zúñiga
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6827-6827
Open Access

Risk Assessment and Diagnosis Code Prediction from Electronic Health Records (EHR) using deep learning
Priyanka Rane, Uruj Jaleel
Journal of Advances in Science and Technology (2024) Vol. 21, Iss. 1, pp. 153-157
Open Access

Deep learning in predicting genetic disorders: A case study of diabetic kidney disease
Iliyas Ibrahim Iliyas, Abdullahi Isa, Muhammad Lefami Zarma, et al.
Elsevier eBooks (2024), pp. 329-347
Closed Access

Distributed Deep Reinforcement Learning for Autonomous Iot Healthcare Devices in the Cloud
Aasheesh Shukla, Hemant Singh Pokhariya, Jacob J. Michaelson, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1

Enhancing Security and Privacy in Cloud – Based Healthcare Data Through Machine Learning
Aasheesh Shukla, Hemant Singh Pokhariya, Jacob J. Michaelson, et al.
(2023), pp. 1-7
Closed Access

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