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 Holistic Overview of Artificial Intelligence in Detection, Classification and Prediction of Atrial Fibrillation Using Electrocardiogram: A Systematic Review and Meta-analysis
Arya Bhardwaj, Dhananjay Budaraju, P. Venkatesh, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4063-4079
Closed Access | Times Cited: 8
Arya Bhardwaj, Dhananjay Budaraju, P. Venkatesh, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4063-4079
Closed Access | Times Cited: 8
Showing 8 citing articles:
Spline Interpolation of Atrial Repolarization Wave as a Promising Indicator for Atrial Arrhythmias: A Novel Approach
Arya Bhardwaj, R. Pradeep Kumar, J. Sivaraman, et al.
Lecture notes in electrical engineering (2025), pp. 133-143
Closed Access
Arya Bhardwaj, R. Pradeep Kumar, J. Sivaraman, et al.
Lecture notes in electrical engineering (2025), pp. 133-143
Closed Access
ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram
Yiqiu Qi, Guangyuan Li, Jinzhu Yang, et al.
Artificial Intelligence in Medicine (2025) Vol. 160, pp. 103065-103065
Closed Access
Yiqiu Qi, Guangyuan Li, Jinzhu Yang, et al.
Artificial Intelligence in Medicine (2025) Vol. 160, pp. 103065-103065
Closed Access
A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms
Utkarsh Gupta, Naveen Paluru, Deepankar Nankani, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e26787-e26787
Open Access | Times Cited: 2
Utkarsh Gupta, Naveen Paluru, Deepankar Nankani, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e26787-e26787
Open Access | Times Cited: 2
Fed-CL- an atrial fibrillation prediction system using ECG signals employing federated learning mechanism
Fayez Saud Alreshidi, Mohammad Alsaffar, Rajeswari Chengoden, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Fayez Saud Alreshidi, Mohammad Alsaffar, Rajeswari Chengoden, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Can atrial lead system ameliorate the diagnosis of atrial arrhythmias?
N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, et al.
Medical Hypotheses (2024) Vol. 184, pp. 111280-111280
Closed Access | Times Cited: 1
N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, et al.
Medical Hypotheses (2024) Vol. 184, pp. 111280-111280
Closed Access | Times Cited: 1
Durch künstliche Intelligenz verstärkte Elektrokardiographie
Wilhelm Haverkamp, Nils Strodthoff
Herzschrittmachertherapie + Elektrophysiologie (2024) Vol. 35, Iss. 2, pp. 104-110
Closed Access | Times Cited: 1
Wilhelm Haverkamp, Nils Strodthoff
Herzschrittmachertherapie + Elektrophysiologie (2024) Vol. 35, Iss. 2, pp. 104-110
Closed Access | Times Cited: 1
Do Single Beat ECGs have Same Credibility as Continuous ECG Signal in Multi-Class Classification using Machine Learning Models
Arya Bhardwaj, R. Pradeep Kumar, J. Sivaraman, et al.
(2024), pp. 314-317
Closed Access
Arya Bhardwaj, R. Pradeep Kumar, J. Sivaraman, et al.
(2024), pp. 314-317
Closed Access
Artificial intelligence techniques for diagnosis of atrial fibrillation
Arya Bhardwaj, R Bandyopadhyay, R. Pradeep Kumar, et al.
Elsevier eBooks (2024), pp. 203-235
Closed Access
Arya Bhardwaj, R Bandyopadhyay, R. Pradeep Kumar, et al.
Elsevier eBooks (2024), pp. 203-235
Closed Access
