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:

A novel time representation input based on deep learning for ECG classification
Youhe Huang, Hongru Li, Xia Yu
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104628-104628
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

ECG Heartbeat Classification Using Machine Learning and Metaheuristic Optimization for Smart Healthcare Systems
M. Hassaballah, Yaser M. Wazery, Ibrahim E. Ibrahim, et al.
Bioengineering (2023) Vol. 10, Iss. 4, pp. 429-429
Open Access | Times Cited: 38

CardioGuard: AI-driven ECG authentication hybrid neural network for predictive health monitoring in telehealth systems
Muhammad Jamal Ahmed, Urooj Afridi, Hasnain Ali Shah, et al.
SLAS TECHNOLOGY (2024), pp. 100193-100193
Open Access | Times Cited: 8

MSGformer: A multi-scale grid transformer network for 12-lead ECG arrhythmia detection
Changqing Ji, Liyong Wang, Jing Qin, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105499-105499
Closed Access | Times Cited: 16

Multi-stream Bi-GRU network to extract a comprehensive feature set for ECG signal classification
Allam Jaya Prakash, Suraj Prakash Sahoo, Samit Ari
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106097-106097
Closed Access | Times Cited: 7

A Multitask Dynamic Graph Attention Autoencoder for Imbalanced Multilabel Time Series Classification
Le Sun, Chenyang Li, Yongjun Ren, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 35, Iss. 9, pp. 11829-11842
Closed Access | Times Cited: 6

Advancing paleontology: a survey on deep learning methodologies in fossil image analysis
Mohammed Yaqoob Ansari, Mohammed Ishaq Mohammed, Mohammed Yusuf Ansari, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access

DCentNet: Decentralized multistage biomedical signal classification using early exits
Xiaolin Li, Binhua Huang, Barry Cardiff, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107468-107468
Closed Access

A knowledge embedded multimodal pseudo-siamese model for atrial fibrillation detection
Chenglin Lin, Huimin Lu, Pengcheng Sang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

A new deep learning method for classification of power quality disturbances using DWT-MRA in utility smart grid
Dazi Li, Irfan Ali Channa, Xun Chen, et al.
Computers & Electrical Engineering (2024) Vol. 117, pp. 109290-109290
Closed Access | Times Cited: 4

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

CardioECGNet: A novel deep learning architecture for accurate and automated ECG signal classification across diverse cardiac conditions
Mohamed Hammad, Mohammed ElAffendi, Ahmed A. Abd El‐Latif
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107720-107720
Closed Access

MSFT: A multi-scale feature-based transformer model for arrhythmia classification
Xin Zhang, Mingjun Lin, Yong Hong, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106968-106968
Closed Access | Times Cited: 3

Improving deep learning in arrhythmia Detection: The application of modular quality and quantity controllers in data augmentation
Mohammad Usef Khosravi Khaliran, Iman Zabbah, Mehrbod Faraji, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105940-105940
Closed Access | Times Cited: 2

Complexity from ordinal pattern positioned slopes (COPPS)
J.S. Armand Eyebe Fouda, Wolfram Koepf, Norbert Marwan, et al.
Chaos Solitons & Fractals (2024) Vol. 181, pp. 114708-114708
Closed Access | Times Cited: 2

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

A Residual-Dense-Based Convolutional Neural Network Architecture for Recognition of Cardiac Health Based on ECG Signals
Alaa E. S. Ahmed, Qaisar Abbas, Yassine Daadaa, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7204-7204
Open Access | Times Cited: 5

A novel interpretable multilevel wavelet decomposition deep network for actual heartbeat classification
Yanrui Jin, Zhiyuan Li, Yuanyuan Tian, et al.
Science China Technological Sciences (2024) Vol. 67, Iss. 6, pp. 1842-1854
Closed Access | Times Cited: 1

Optimizing ST-Segment classification in ECG using multi-task learning
Ziyi Yin, Wenjie Cai, Mingjie Wang
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106591-106591
Closed Access | Times Cited: 1

Inferring spatial–temporal dynamics of ECG signals with deep neural networks for cardiovascular diseases diagnosis
Haitao Yu, Yizhuo Lu, Shumei Zheng
Biomedical Signal Processing and Control (2024) Vol. 97, pp. 106668-106668
Closed Access | Times Cited: 1

DCETEN: A lightweight ECG automatic classification network based on Transformer model
Fan Jiang, Jiayi Xiao, Lei Liu, et al.
Digital Communications and Networks (2024)
Open Access | Times Cited: 1

ECG classification using Deep CNN and Gramian Angular Field
Youssef Elmir, Yassine Himeur, Abbes Amira
(2023)
Open Access | Times Cited: 3

Machine Learning Technique to Monitor Heartbeat using Amalgamated Data of Multi-Sensor Stream
Umar Hayat, Zahid Iqbal, Anam Mumtaz, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2

MMDN: Arrhythmia detection using multi-scale multi-view dual-branch fusion network
Yelong Zhu, Mingfeng Jiang, Xiaoyu He, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106468-106468
Closed Access

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