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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:

An IOT framework for detecting cardiac arrhythmias in real-time using deep learning resnet model
S. Sai Kumar, Dhruva R. Rinku, A. Pradeep Kumar, et al.
Measurement Sensors (2023) Vol. 29, pp. 100866-100866
Open Access | Times Cited: 12

Showing 12 citing articles:

Advancements and applications of Artificial Intelligence in cardiology: Current trends and future prospects
David B. Olawade, Nicholas Aderinto, Gbolahan Olatunji, et al.
Journal of Medicine Surgery and Public Health (2024) Vol. 3, pp. 100109-100109
Open Access | Times Cited: 12
Heart Disease Detection and Prognosis Using IoT-Based ECG Sensor Data with Hybrid Deep Learning Architecture and Optimal Resource Allocation
Pranali P. Lokhande, Kotadi Chinnaiah­
Cybernetics & Systems (2025), pp. 1-51
Closed Access
Detection of retinal nerve fiber layer in patients with high myopia complicated with glaucoma by optical coherence tomography
Xin Wang, Yinglang Zhang, Hongbo Hu, et al.
Technology and Health Care (2025)
Open Access
A multi-branch multi-scale convolutional neural network using automatic detection of fetal arrhythmia
Sithan Kanna, Francis H. Shajin, P. Rajesh, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. S1, pp. 87-96
Closed Access | Times Cited: 3
An Electrocardiogram Signal Classification Using a Hybrid Machine Learning and Deep Learning Approach
Faramarz Zabihi, Fatemeh Safara, Behrouz Ahadzadeh
Healthcare Analytics (2024) Vol. 6, pp. 100366-100366
Open Access | Times Cited: 3
Automatic Classification of Cardiac Arrhythmias Using Deep Learning Techniques: A Systematic Review
Fernando Vásquez-Iturralde, Marco Flores-Calero, Felipe Grijalva, et al.
IEEE Access (2024) Vol. 12, pp. 118467-118492
Open Access | Times Cited: 2
Towards Reliable ECG Analysis: Addressing Validation Gaps in the Electrocardiographic R-Peak Detection
Syed Talha Abid Ali, Sebin Kim, Young‐Joon Kim
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 10078-10078
Open Access
Improving automated labeling with deep learning and signal segmentation for accurate ECG signal analysis
Osama Hussein, Shymaa Mohammed Jameel, J. M. Altmemi, et al.
Service Oriented Computing and Applications (2024)
Closed Access
A Hybrid CNN-LSTM Model for Accurate Prediction of Cardiac Arrhythmia using ECG Signals
S. Varshini, T.S. Dhanush
(2024), pp. 1360-1368
Closed Access
Cardio vascular disease prediction by deep learning based on IOMT: review
C Deepti, J Nagaraja
Smart Science (2024), pp. 1-11
Closed Access
Leveraging IoT Devices for Atrial Fibrillation Detection: A Comprehensive Study of AI Techniques
Alicia Pedrosa-Rodriguez, Carmen Cámara, Pedro Peris‐Lopez
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8945-8945
Open Access
Automated Arrhythmia Classification Using Farmland Fertility Algorithm with Hybrid Deep Learning Model on Internet of Things Environment
Ahmed S. Almasoud, Hanan Abdullah Mengash, Majdy M. Eltahir, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8265-8265
Open Access | Times Cited: 1
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