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:

An Innovative Machine Learning Approach for Classifying ECG Signals in Healthcare Devices
Kishore Bhamidipati, A. Nanda Gopal Reddy, Anila Kumar Chillara, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 8

Showing 8 citing articles:

Cardiac arrhythmia detection using deep learning approach and time frequency representation of ECG signals
Yared Daniel Daydulo, Bheema Lingaiah Thamineni, Ahmed Ali Dawud
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 26

Wearable ECG Device and Machine Learning for Heart Monitoring
Zhadyra Alimbayeva, Chingiz Alimbayev, Кassymbek Ozhikenov, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4201-4201
Open Access | Times Cited: 5

Automated ECG Signals Analysis for Cardiac Abnormality Detection and Classification
Ahmed Mohammed Abagaro, Hika Barki, Gelan Ayana, et al.
Journal of Electrical Engineering and Technology (2024) Vol. 19, Iss. 5, pp. 3355-3371
Closed Access | Times Cited: 3

Wearable Ecg Device and Machine Learning for Heart Monitoring
Zhadyra Alimbayeva, Chingiz Alimbayev, Кassymbek Ozhikenov, et al.
(2024)
Open Access | Times Cited: 1

SecECG: secure data hiding approach for ECG signals in smart healthcare applications
Jyoti Rani, Ashima Anand, Shivendra Shivani
Multimedia Tools and Applications (2023) Vol. 83, Iss. 14, pp. 42885-42905
Closed Access | Times Cited: 3

Deep learning-assisted arrhythmia classification using 2-D ECG spectrograms
P. Naga Malleswari, Venkata Krishna Odugu, T. J. V. Subrahmanyeswara Rao, et al.
EURASIP Journal on Advances in Signal Processing (2024) Vol. 2024, Iss. 1
Open Access

Abnormalities analysis of electrocardiogram signals by using artificial intelligence
Sanjib Kumar Dhara, Nilankar Bhanja, Prabodh Khampariya
Multimedia Tools and Applications (2024)
Closed Access

ECG Classification Using Machine Learning on Wave Samples for the Indian Population
Parth Bhalerao, Huzefa Essaji, Vivek Kaushik, et al.
(2023), pp. 490-494
Closed Access

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