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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:

A Healthcare Monitoring System for the Diagnosis of Heart Disease in the IoMT Cloud Environment Using MSSO-ANFIS
Mohammad Ayoub Khan, Fahad Algarni
IEEE Access (2020) Vol. 8, pp. 122259-122269
Open Access | Times Cited: 222

Showing 1-25 of 222 citing articles:

Machine Learning Technology-Based Heart Disease Detection Models
Umarani Nagavelli, Debabrata Samanta, Partha Chakraborty
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 134
A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images
Goram Mufarah M. Alshmrani, Qiang Ni, Richard Jiang, et al.
Alexandria Engineering Journal (2022) Vol. 64, pp. 923-935
Open Access | Times Cited: 132
Smart Healthcare in the Age of AI: Recent Advances, Challenges, and Future Prospects
Mahmoud Nasr, Md. Milon Islam, Shady Shehata, et al.
IEEE Access (2021) Vol. 9, pp. 145248-145270
Open Access | Times Cited: 125
An efficient clinical support system for heart disease prediction using TANFIS classifier
Jayachitra Sekar, A. Prasanth, Sulaima Lebbe Abdul Haleem, et al.
Computational Intelligence (2021) Vol. 38, Iss. 2, pp. 610-640
Closed Access | Times Cited: 108
A Systematic Review on Metaheuristic Optimization Techniques for Feature Selections in Disease Diagnosis: Open Issues and Challenges
Sukhpreet Kaur, Yogesh Kumar, Apeksha Koul, et al.
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 3, pp. 1863-1895
Open Access | Times Cited: 102
The internet of medical things and artificial intelligence: trends, challenges, and opportunities
Kourosh Kakhi, Roohallah Alizadehsani, H M Dipu Kabir, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 749-771
Closed Access | Times Cited: 88
Real-Time Cloud-Based Patient-Centric Monitoring Using Computational Health Systems
Chinmay Chakraborty, Amit Kishor
IEEE Transactions on Computational Social Systems (2022) Vol. 9, Iss. 6, pp. 1613-1623
Closed Access | Times Cited: 87
IoT-based patient monitoring system for predicting heart disease using deep learning
G. Ramkumar, J. Seetha, R. Priyadarshini, et al.
Measurement (2023) Vol. 218, pp. 113235-113235
Closed Access | Times Cited: 79
Internet of medical things: A systematic review
Chenxi Huang, Jian Wang, Shuihua Wang‎, et al.
Neurocomputing (2023) Vol. 557, pp. 126719-126719
Open Access | Times Cited: 47
Hybrid Classifier-Based Federated Learning in Health Service Providers for Cardiovascular Disease Prediction
Muhammad Mateen Yaqoob, Muhammad Nazir, Muhammad Amir Khan, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1911-1911
Open Access | Times Cited: 42
Multirole of the internet of medical things (IoMT) in biomedical systems for managing smart healthcare systems: An overview of current and future innovative trends
Darin Mansor Mathkor, Noof Mathkor, Zaid Bassfar, et al.
Journal of Infection and Public Health (2024) Vol. 17, Iss. 4, pp. 559-572
Open Access | Times Cited: 31
Healthcare diagnostics with an adaptive deep learning model integrated with the Internet of medical Things (IoMT) for predicting heart disease
K.K. Baseer, K Sivakumar, D. Veeraiah, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 105988-105988
Closed Access | Times Cited: 23
A Review of Machine Learning’s Role in Cardiovascular Disease Prediction: Recent Advances and Future Challenges
Marwah Abdulrazzaq Naser, Aso Ahmed Majeed, Muntadher Alsabah, et al.
Algorithms (2024) Vol. 17, Iss. 2, pp. 78-78
Open Access | Times Cited: 17
A comprehensive survey on impact of applying various technologies on the internet of medical things
Shorouk E. El-deep, Amr A. Abohany, Karam M. Sallam, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access | Times Cited: 1
An intelligent heart disease prediction system based on swarm-artificial neural network
Sudarshan Nandy, Mainak Adhikari, Venki Balasubramanian, et al.
Neural Computing and Applications (2021) Vol. 35, Iss. 20, pp. 14723-14737
Closed Access | Times Cited: 96
Heart disease prediction by using novel optimization algorithm: A supervised learning prospective
Sibo Prasad Patro, Gouri Sankar Nayak, Neelamadhab Padhy
Informatics in Medicine Unlocked (2021) Vol. 26, pp. 100696-100696
Open Access | Times Cited: 75
Applying Artificial Intelligence to Wearable Sensor Data to Diagnose and Predict Cardiovascular Disease: A Review
Jiandong Huang, J. Wang, Elaine Ramsey, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 8002-8002
Open Access | Times Cited: 67
Towards development of IoT-ML driven healthcare systems: A survey
Nabila Sabrin Sworna, A.K.M. Muzahidul Islam, Swakkhar Shatabda, et al.
Journal of Network and Computer Applications (2021) Vol. 196, pp. 103244-103244
Closed Access | Times Cited: 66
Smart Heart Disease Prediction System with IoT and Fog Computing Sectors Enabled by Cascaded Deep Learning Model
K. Butchi Raju, Suresh Dara, Ankit Vidyarthi, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-22
Open Access | Times Cited: 63
Two-Stage Classification Model for the Prediction of Heart Disease Using IoMT and Artificial Intelligence
S. Manimurugan, Saad Almutairi, Majed Aborokbah, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 476-476
Open Access | Times Cited: 62
mHealth Apps for Self-Management of Cardiovascular Diseases: A Scoping Review
Nancy Aracely Cruz-Ramos, Giner Alor‐Hernández, Luis Omar Colombo-Mendoza, et al.
Healthcare (2022) Vol. 10, Iss. 2, pp. 322-322
Open Access | Times Cited: 44
Secure IoMT for Disease Prediction Empowered With Transfer Learning in Healthcare 5.0, the Concept and Case Study
Tahir Abbas Khan, Areej Fatima, Tariq Shahzad, et al.
IEEE Access (2023) Vol. 11, pp. 39418-39430
Open Access | Times Cited: 39
A Clinical Decision Support System for Heart Disease Prediction Using Deep Learning
Abdulwahab Ali Almazroi, Eman Aldhahri, Saba Bashir, et al.
IEEE Access (2023) Vol. 11, pp. 61646-61659
Open Access | Times Cited: 36
An efficient IoT-Artificial intelligence-based disease prediction using lightweight CNN in healthcare system
Areej Malibari
Measurement Sensors (2023) Vol. 26, pp. 100695-100695
Open Access | Times Cited: 35
Predictis: an IoT and machine learning-based system to predict risk level of cardio-vascular diseases
Muhammad Nazrul Islam, Kazi Rafid Raiyan, Shutonu Mitra, et al.
BMC Health Services Research (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 35
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