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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:

Arrhythmia ventricular fibrillation classification on ECG signal using ensemble feature selection and deep neural network
M. Rajeshwari, K. Kavitha
Cluster Computing (2022) Vol. 25, Iss. 5, pp. 3085-3102
Closed Access | Times Cited: 12

Showing 12 citing articles:

GSMD-SRST: Group Sparse Mode Decomposition and Superlet-Transform-Based Technique for Multilevel Classification of Cardiac Arrhythmia
Shikha Singhal, Manjeet Kumar
IEEE Sensors Journal (2024) Vol. 24, Iss. 6, pp. 8160-8169
Closed Access | Times Cited: 8
Deep learning and electrocardiography: systematic review of current techniques in cardiovascular disease diagnosis and management
Z. Wu, Caixia Guo
BioMedical Engineering OnLine (2025) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Visual contextual perception and user emotional feedback in visual communication design
Jiayi Zhu
BMC Psychology (2025) Vol. 13, Iss. 1
Open Access
Arrhythmia classification using ECG signal: A meta-heuristic improvement of optimal weighted feature integration and attention-based hybrid deep learning model
Wasyihun Sema Admass, Girmaw Andualem Bogale
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105565-105565
Closed Access | Times Cited: 12
Premature Ventricular Contractions Detection by Multi-Domain Feature Extraction and Auto-Encoder-based Feature Reduction
Maryam Ebrahimpoor, Mehdi Taghizadeh, Mohammad Hossein Fatehi, et al.
Circuits Systems and Signal Processing (2024) Vol. 43, Iss. 5, pp. 3279-3296
Closed Access | Times Cited: 2
A novel enhanced lemurs optimization-based hybrid attention network for classifying arrthymia from ECG signal using optimal weighted feature
Rakhi Wajgi, G. Brammya, Gopisetty Ramesh, et al.
Australian Journal of Electrical & Electronics Engineering (2024) Vol. 21, Iss. 3, pp. 311-335
Closed Access | Times Cited: 2
Prediction of Arrhythmias and Acute Myocardial Infarctions using Machine Learning
Darwin Patiño-Pérez, Jorge Medina, Ricardo Silva Bustillos, et al.
Ingenius (2023), Iss. 29, pp. 79-89
Open Access | Times Cited: 3
Development of a novel wrist pulse system for early diagnosis of pathogenic bacterial infections using optimized feature selection with machine learning approaches
Sachin Kumar, Karan Veer, Sanjeev Kumar
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105503-105503
Closed Access | Times Cited: 2
AutoRhythmAI: A Hybrid Machine and Deep Learning Approach for Automated Diagnosis of Arrhythmias
S. Jayanthi, S. Prasanna Devi
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 2, pp. 2137-2158
Open Access
An Automation Detection of Arrhythmia Using DWT-AR Features and Machine Learning
Prem Narayan Singh, Rajendra Prasad Mahapatra
Lecture notes in networks and systems (2024), pp. 733-745
Closed Access


Ingenius (2023), Iss. 29
Open Access
A Hybrid Feature Dimension Reduction and SVM for a Classification of Heart Rate Variability
Sharada Suresh Dambal, Mahesh Kumar Doddananjedevaru, Sudarshan Gopalakrishna
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 5, pp. 104-112
Open Access
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