Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Systematic Review on Artificial Intelligence-Based Techniques for Diagnosis of Cardiovascular Arrhythmia Diseases: Challenges and Opportunities
Shikha Singhal, Manjeet Kumar
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 2, pp. 865-888
Closed Access | Times Cited: 26

Showing 1-25 of 26 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
Efficient ECG classification based on the probabilistic Kullback-Leibler divergence
Dhiah Al‐Shammary, Mohammed Radhi, Ali Hakem Alsaeedi, et al.
Informatics in Medicine Unlocked (2024) Vol. 47, pp. 101510-101510
Open Access | Times Cited: 5
Advancements in AI for cardiac arrhythmia detection: A comprehensive overview
Jagdeep Rahul, Lakhan Dev Sharma
Computer Science Review (2025) Vol. 56, pp. 100719-100719
Open Access
Smart Arrhythmia Detection Using Single Lead ECG Signal and Hybridized Deep Neural Network Model
Shailesh Hambarde, A. N. Paithane, Poonam Lambhate, et al.
Web Intelligence (2025)
Closed Access
The Role of Artificial Intelligence in Early Diagnosis and Management of Cardiovascular Diseases
H. Abdul Shabeer, Husnain Kh Haider, Tamana Khatri, et al.
Indus journal of bioscience research. (2025) Vol. 3, Iss. 2, pp. 213-224
Closed Access
Deep learning-based LDL-C level prediction and explainable AI interpretation
Ali Öter
Computers in Biology and Medicine (2025) Vol. 188, pp. 109905-109905
Closed Access
Revolutionizing Cardiovascular Health: Exploring the Potential of AI-Driven Approaches in Diagnosing Arrhythmia Disorders
Aryan Mehra, Nikita Kandwal, Bharat Rawat
Lecture notes in networks and systems (2025), pp. 37-47
Closed Access
Deep attention model for arrhythmia signal classification based on multi-objective crayfish optimization algorithmic variational mode decomposition
Yihang Zhang, Hang Zhao
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
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: 2
SPTDMD-WST: Arrhythmia classification from spatiotemporal modes of dynamic mode decomposition using wavelet scattering transform
Shikha Singhal, Manjeet Kumar
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 105983-105983
Closed Access | Times Cited: 2
Multi-source deep feature fusion for medical image analysis
Ercan Gürsoy, Yasin Kaya
Multidimensional Systems and Signal Processing (2024) Vol. 36, Iss. 1
Closed Access | Times Cited: 2
Ensemble classifier fostered detection of arrhythmia using ECG data
M. Ramkumar, Manjunathan Alagarsamy, A. Balakumar, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 9, pp. 2453-2466
Closed Access | Times Cited: 6
Cardiovascular Diseases Classification Using High- Resolution Superlet Transform on ECG and PCG Signals
Shikha Singhal, Manjeet Kumar
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access | Times Cited: 4
An adaptive Marine Predator Optimization Algorithm (MPOA) integrated Gated Recurrent Neural Network (GRNN) classifier model for arrhythmia detection
Rajesh Pashikanti, C. Y. Patil, Shinde Amita Anirudhe
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106328-106328
Closed Access | Times Cited: 1
A Task-Generic High-Performance Unsupervised Pre-training Framework for ECG
Guoxin Wang, Qingyuan Wang, Avishek Nag, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 21776-21785
Open Access | Times Cited: 1
Emerging intelligent wearable devices for cardiovascular health monitoring
Yiqian Wang, Yang Zou, Zhou Li
Nano Today (2024) Vol. 59, pp. 102544-102544
Closed Access | Times Cited: 1
R-Peak Detection Using Wavelet Scattering Transform for Pre-Term Infant ECG Dataset
Shikha Singhal, Manjeet Kumar
(2024), pp. 676-680
Closed Access
Convolutional Neural Networks Architectures for Heartbeat Arrhythmia Classification
Abd Allah Aouragh, Mohamed Bahaj
Lecture notes in networks and systems (2024), pp. 375-386
Closed Access
The Investigation and Validation of the $$\alpha$$-Stable Distribution Characteristics for Noises that Corrupt ECG Signals
Aditi Bajaj, Sanjay Kumar
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 12, pp. 16743-16770
Closed Access
Heart Diseases Recognition Model Based on HRV Feature Extraction over 12-Lead ECG Signals
Ling Wang, Tianshuo Bi, Jiayu Hao, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5296-5296
Open Access
Manifold grasshopper optimization based extremely disruptive vision transformer model for automatic heart disease detection in raw ECG signals
Avinash Golande, T. Pavankumar
Multimedia Tools and Applications (2024)
Closed Access
Comprehensive Analysis of Cardiovascular Diseases: Symptoms, Diagnosis, and AI Innovations
Muhammad Raheel Khan, Zunaib Maqsood Haider, Jawad Hussain, et al.
Bioengineering (2024) Vol. 11, Iss. 12, pp. 1239-1239
Open Access
Heart Rate Arrhythmia Identification with Internet of Things and Machine Learning
Li Xin, Sumendra Yogarayan, Abdul Razak, et al.
(2024), pp. 1-7
Closed Access
Convolutional LSTM Network for Heart Disease Diagnosis on Electrocardiograms
Батырхан Омаров, Meirzhan Baikuvekov, Zeinel Momynkulov, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 76, Iss. 3, pp. 3745-3761
Open Access | Times Cited: 1
Machine Learning and Artificial Intelligence Risk
David L. Olson, Desheng Wu
Springer texts in business and economics (2023), pp. 151-172
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top