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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:

E-Healthcare Monitoring System using IoT with Machine Learning Approaches
Brahmaji Godi, Sangeeta Viswanadham, Appala Srinuvasu Muttipati, et al.
2020 International Conference on Computer Science, Engineering and Applications (ICCSEA) (2020), pp. 1-5
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Recent Advances on IoT-Assisted Wearable Sensor Systems for Healthcare Monitoring
Shwetank Dattatraya Mamdiwar, R Akshith, Zainab Shakruwala, et al.
Biosensors (2021) Vol. 11, Iss. 10, pp. 372-372
Open Access | Times Cited: 138
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: 127
Smart Healthcare Monitoring System Using IoT
Bzhar Ghafour Mohammed, Dler Salih Hasan
International Journal of Interactive Mobile Technologies (iJIM) (2023) Vol. 17, Iss. 01, pp. 141-152
Open Access | Times Cited: 50
RETRACTED ARTICLE: IoT in healthcare: a review of services, applications, key technologies, security concerns, and emerging trends
Gousia Nissar, Riaz Ahmed Khan, Saba Mushtaq, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 33, pp. 80283-80283
Closed Access | Times Cited: 19
A smart IoMT based architecture for E-healthcare patient monitoring system using artificial intelligence algorithms
A Ahila, Fadl Dahan, Roobaea Alroobaea, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 38
An Intelligent Diabetic Patient Tracking System Based on Machine Learning for E-Health Applications
Sindhu P. Menon, Prashant Kumar Shukla, Priyanka Sethi, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3004-3004
Open Access | Times Cited: 26
Integrating IoT and Machine Learning for Real-Time Patient Health Monitoring with Sensor Networks
S. Vimal, M. Vadivel, V. Vijayabaskar, et al.
(2023), pp. 574-578
Closed Access | Times Cited: 25
A Review of Machine Learning and TinyML in Healthcare
Vasileios Tsoukas, Eleni Boumpa, Georgios Giannakas, et al.
(2021), pp. 69-73
Closed Access | Times Cited: 42
A Systematic Review on IoT and Machine Learning Algorithms in E-Healthcare
Deepika Tenepalli, T. M. Navamani
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 279-294
Open Access | Times Cited: 6
Enhancing Diabetes Management: A Hybrid Adaptive Machine Learning Approach for Intelligent Patient Monitoring in e-Health Systems
Sushil Dohare, K Deeba, Laxmi Pamulaparthy, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Novel Internet of Things based approach toward diabetes prediction using deep learning models
Anum Naseem, Raja Habib, Tabbasum Naz, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 21
Blockchain and machine learning in the internet of things: a review of smart healthcare
Nwadher Suliman Al-Blihed, Nouf Almufadi, Nouf Thyab Al-Harbi, et al.
IAES International Journal of Artificial Intelligence (2023) Vol. 12, Iss. 3, pp. 995-995
Open Access | Times Cited: 12
Effective Diabetes Prediction using an IoT-based Integrated Ensemble Machine Learning Framework
Rashi Rastogi, Mamta Bansal, N. Hari Kumar, et al.
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 20064-20070
Open Access
Improving Reliability for Detecting Anomalies in the MQTT Network by Applying Correlation Analysis for Feature Selection Using Machine Learning Techniques
임란, Megat F. Zuhairi, Syed Mubashir Ali, et al.
Applied Sciences (2023) Vol. 13, Iss. 11, pp. 6753-6753
Open Access | Times Cited: 7
Artificial Rabbits Optimizer With Machine Learning Based Emergency Department Monitoring and Medical Data Classification at KSA Hospitals
Lubna A. Alharbi
IEEE Access (2023) Vol. 11, pp. 59133-59141
Open Access | Times Cited: 6
A novel deep learning model for diabetes melliuts prediction in IoT-based healthcare environment with effective feature selection mechanism
R. Rajalakshmi, P. Sivakumar, L. Krishna Kumari, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 1, pp. 271-291
Closed Access | Times Cited: 6
Applicability of ML-IoT in Smart Healthcare Systems: Challenges, Solutions & Future Direction
Nikhil Sharma, Prashant Giridhar Shambharkar
2022 International Conference on Computer Communication and Informatics (ICCCI) (2022), pp. 1-7
Closed Access | Times Cited: 8
Optimized Dictionary-based Sparse Regression Learning for Health Care Monitoring in IoT-based Context-Aware Architecture
S Kamalesh, A. Muthukrishnan
IETE Journal of Research (2023) Vol. 70, Iss. 5, pp. 5212-5227
Closed Access | Times Cited: 4
Efficient Early Detection of Patient Diagnosis and Cardiovascular Disease using an IoT System with Machine Learning and Fuzzy Logic
Rafly Arief Kanza, M. Udin Harun Al Rasyid, Sritrusta Sukaridhoto
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 183-199
Open Access | Times Cited: 1
Patient Health Observation and Analysis With Machine Learning And IoT Based in Realtime Environment
Arnab Dey, Pramit Brata Chanda, Subir Kumar Sarkar
(2020), pp. 196-201
Closed Access | Times Cited: 8
Advanced Healthcare System using Artificial Intelligence
Santosh Sanjeev, Gowtham Sai Ponnekanti, G. Pradeep Reddy
2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (2021), pp. 76-81
Closed Access | Times Cited: 8
Plant Pathology Detection Using Deep Learning
Sangeeta Viswanadham, Appala Srinuvasu Muttipati, Brahmaji Godi
(2023), pp. 101-121
Closed Access | Times Cited: 2
A Machine Learning based Platform for Remote Management of Heart Failure Patients
Rareș-Ioan Man, Ionuț Anghel
(2023) Vol. 89, pp. 415-421
Closed Access | Times Cited: 2
SmartCare: Detecting Heart Failure and Diabetes Using Smartwatch
Lahiru Colombage, Thisari Amarasiri, Tilshini Sanjeewani, et al.
(2022), pp. 20-27
Closed Access | Times Cited: 4
Machine Learning Applied to Internet of Things Applications: A Survey
Saugat Sharma, Grzegorz Chmaj, Henry Selvaraj
Lecture notes in networks and systems (2021), pp. 301-309
Closed Access | Times Cited: 5
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