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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:

Artificial Intelligence and Internet of Things Enabled Disease Diagnosis Model for Smart Healthcare Systems
Romany F. Mansour, Adnen El Amraoui, Issam Nouaouri, et al.
IEEE Access (2021) Vol. 9, pp. 45137-45146
Open Access | Times Cited: 163

Showing 1-25 of 163 citing articles:

Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey
Mansoor Ali, Faisal Naeem, Muhammad Tariq, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 778-789
Open Access | Times Cited: 130
Internet of Medical Things (IoMT)-Based Smart Healthcare System: Trends and Progress
Jyoti Srivastava, Sidheswar Routray, Sultan Ahmad, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 112
The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review
Shaghayegh Shajari, Kirankumar Kuruvinashetti, Amin Komeili, et al.
Sensors (2023) Vol. 23, Iss. 23, pp. 9498-9498
Open Access | Times Cited: 104
Predictive Intelligence for Healthcare Outcomes: An AI Architecture Overview
Srinivasa Rao Burri, Abhishek Kumar, Anupam Baliyan, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 77
Lab‐on‐a‐Contact Lens: Recent Advances and Future Opportunities in Diagnostics and Therapeutics
Yangzhi Zhu, Shaopei Li, Jinghang Li, et al.
Advanced Materials (2022) Vol. 34, Iss. 24
Open Access | Times Cited: 76
Managing Security of Healthcare Data for a Modern Healthcare System
Abdulmohsen Almalawi, Asif Irshad Khan, Fawaz Alsolami, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3612-3612
Open Access | Times Cited: 74
Healthcare predictive analytics using machine learning and deep learning techniques: a survey
Mohammed Badawy, Nagy Ramadan, Hesham A. Hefny
Journal of Electrical Systems and Information Technology (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 50
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: 24
Blockchain-Based Privacy-Enhancing Federated Learning in Smart Healthcare: A Survey
Zounkaraneni Ngoupayou Limbepe, Keke Gai, Jing Yu
Blockchains (2025) Vol. 3, Iss. 1, pp. 1-1
Open Access | Times Cited: 2
Smart Materials Enabled with Artificial Intelligence for Healthcare Wearables
Youbin Zheng, Ning Tang, Rawan Omar, et al.
Advanced Functional Materials (2021) Vol. 31, Iss. 51
Closed Access | Times Cited: 97
Smart data processing for energy harvesting systems using artificial intelligence
S. Divya, Swati Panda, Sugato Hajra, et al.
Nano Energy (2022) Vol. 106, pp. 108084-108084
Closed Access | Times Cited: 62
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
A Scalable and Transferable Federated Learning System for Classifying Healthcare Sensor Data
Le Sun, Jin Wu
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 866-877
Closed Access | Times Cited: 42
Healthcare 4.0: recent advancements and futuristic research directions
Aditya Gupta, Amritpal Singh
Wireless Personal Communications (2022) Vol. 129, Iss. 2, pp. 933-952
Open Access | Times Cited: 38
Survival study on deep learning techniques for IoT enabled smart healthcare system
Ashok Kumar Munnangi, Satheeshwaran UdhayaKumar, Vinayakumar Ravi, et al.
Health and Technology (2023) Vol. 13, Iss. 2, pp. 215-228
Open Access | Times Cited: 23
Cardiovascular Diseases
Sabyasachi Pramanik, Alex Khang
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 274-287
Closed Access | Times Cited: 13
Comprehensive evaluation and performance analysis of machine learning in heart disease prediction
Halah Abdulaziz Al-Alshaikh, P. Prabu, Ramesh Chandra Poonia, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Optimized data management and secured federated learning in the Internet of Medical Things (IoMT) with blockchain technology
R. Ramani, A. Rosline Mary, S. Edwin Raja, et al.
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106213-106213
Closed Access | Times Cited: 10
Automated Deep Learning Empowered Breast Cancer Diagnosis Using Biomedical Mammogram Images
José Escorcia‐Gutierrez, Romany F. Mansour, Kelvin Bele駉, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 71, Iss. 3, pp. 4221-4235
Open Access | Times Cited: 31
Integrated approach using deep neural network and CBR for detecting severity of coronary artery disease
Varun Sapra, Luxmi Sapra, Akashdeep Bhardwaj, et al.
Alexandria Engineering Journal (2023) Vol. 68, pp. 709-720
Open Access | Times Cited: 21
Enhancing Breast Cancer Classification in Histopathological Images through Federated Learning Framework
Jyothi Peta, Srinivas Koppu
IEEE Access (2023) Vol. 11, pp. 61866-61880
Open Access | Times Cited: 17
The analysis of educational informatization management learning model under the internet of things and artificial intelligence
Lulu Han, Xinliang Long, Kunli Wang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Edge artificial intelligence for big data: a systematic review
Atefeh Hemmati, Parisa Raoufi, Amir Masoud Rahmani
Neural Computing and Applications (2024) Vol. 36, Iss. 19, pp. 11461-11494
Closed Access | Times Cited: 5
A Deep Auto-Optimized Collaborative Learning (DACL) model for disease prognosis using AI-IoMT systems
Malarvizhi Nandagopal, Koteeswaran Seerangan, Tamilmani Govindaraju, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Ensemble approach of transfer learning and vision transformer leveraging explainable AI for disease diagnosis: An advancement towards smart healthcare 5.0
Ramesh Chandra Poonia, Halah Abdulaziz Al-Alshaikh
Computers in Biology and Medicine (2024) Vol. 179, pp. 108874-108874
Closed Access | Times Cited: 5
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