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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:

Identification of Arrhythmia by Using a Decision Tree and Gated Network Fusion Model
Peng Lu, Yabin Zhang, Bing Zhou, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-13
Open Access | Times Cited: 11

Showing 11 citing articles:

New Hybrid Deep Learning Approach Using BiGRU-BiLSTM and Multilayered Dilated CNN to Detect Arrhythmia
Md Shofiqul Islam, Md Nahidul Islam, Noramiza Hashim, et al.
IEEE Access (2022) Vol. 10, pp. 58081-58096
Open Access | Times Cited: 37
Reduced features set neural network approach based on high-resolution time-frequency images for cardiac abnormality detection
Imran Shafi, Aesar Aziz, Sadia Din, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105425-105425
Closed Access | Times Cited: 16
ECG arrhythmias classification based on deep learning methods and transfer learning technique
Samira Mavaddati
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107236-107236
Closed Access | Times Cited: 2
Stacked Variational Autoencoder in the Classification of Cardiac Arrhythmia using ECG Signals with 2D-ECG Images
S. Nithya, M. Mary Shanthi Rani
(2022)
Closed Access | Times Cited: 5
Design and Implementation of 3D Animation Data Processing Development Platform Based on Artificial Intelligence
Quansheng Gao
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 3
Machine Learning for Cardiac Arrhythmia Detection: A Systematic Survey
Geetika Singh, Charu Agarwal, Inderjeet Kaur, et al.
Journal of Physics Conference Series (2023) Vol. 2570, Iss. 1, pp. 012028-012028
Open Access | Times Cited: 1
A Study on the Detection and Different Methods of Classification of Arrhythmia Utilizing ECG Signal
Arijita Das, Rudra Sankar Dhar, Ujjwal Mondal
Lecture notes in electrical engineering (2024), pp. 119-126
Closed Access
Detection of Arrhythmia via Electrical Activity of the Heart Using AI Techniques
J. Pramitha, X. Anitha Mary
Lecture notes in networks and systems (2023), pp. 189-200
Closed Access
Secure healthcare monitoring of arrythmias in internet of things with deep learning and elgamal encryption
S. Sumathi, A. Balaji Ganesh
Journal of Intelligent & Fuzzy Systems (2023), pp. 1-16
Closed Access
DT-GRU Approach for Developing Remotely Monitored Central Nervous System Using Wearable Sensors
Sreejith L Das, A. S. M. Mahbubul Alam, B. Anjanee Kumar, et al.
(2023), pp. 1271-1276
Closed Access
Multi-Class Arrhythmia Classification and R-Peak Detection Method of ECG Signal Based on One-Dimensional U-Net with Skip-Connection and Data Augmentation
Yamin Liu, Hanshuang Xie, Jiayi Yan, et al.
Frontiers in artificial intelligence and applications (2023)
Open Access
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