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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:

A deep residual inception network with channel attention modules for multi-label cardiac abnormality detection from reduced-lead ECG
Apoorva Srivastava, Sawon Pratiher, Sazedul Alam, et al.
Physiological Measurement (2022) Vol. 43, Iss. 6, pp. 064005-064005
Open Access | Times Cited: 18

Showing 18 citing articles:

An innovative deep anomaly detection of building energy consumption using energy time-series images
Abigail Copiaco, Yassine Himeur, Abbes Amira, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105775-105775
Closed Access | Times Cited: 79
Deep Learning-Based ECG Arrhythmia Classification: A Systematic Review
Qiao Xiao, Khuan Lee, Siti Aisah Mokhtar, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4964-4964
Open Access | Times Cited: 74
Current and Future Use of Artificial Intelligence in Electrocardiography
Manuel Martínez‐Sellés, Manuel Marina‐Breysse
Journal of Cardiovascular Development and Disease (2023) Vol. 10, Iss. 4, pp. 175-175
Open Access | Times Cited: 55
ECGTransForm: Empowering adaptive ECG arrhythmia classification framework with bidirectional transformer
Hany El-Ghaish, Emadeldeen Eldele
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105714-105714
Closed Access | Times Cited: 21
xECGArch: a trustworthy deep learning architecture for interpretable ECG analysis considering short-term and long-term features
Marc Goettling, Alexander Hammer, Hagen Malberg, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
An Automated Cardiac Arrhythmia Classification Network for 45 Arrhythmia Classes Using 12-Lead Electrocardiogram
Ho Keun Kim, Myung Hoon Sunwoo
IEEE Access (2024) Vol. 12, pp. 44527-44538
Open Access | Times Cited: 3
Accurate detection of arrhythmias on raw electrocardiogram images: An aggregation attention multi-label model for diagnostic assistance
Zizhu Liu, Qing Cao, Qi Jin, et al.
Medical Engineering & Physics (2023) Vol. 114, pp. 103964-103964
Closed Access | Times Cited: 8
A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms
Utkarsh Gupta, Naveen Paluru, Deepankar Nankani, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e26787-e26787
Open Access | Times Cited: 2
A motor imagery classification model based on hybrid brain-computer interface and multitask learning of electroencephalographic and electromyographic deep features
Yingyu Cao, Shaowei Gao, Huixian Yu, et al.
Frontiers in Physiology (2024) Vol. 15
Open Access | Times Cited: 2
A multi-granularity convolutional neural network model with temporal information and attention mechanism for efficient diabetes medical cost prediction
Luo Min, Yi-ting Wang, Xiaokang Wang, et al.
Computers in Biology and Medicine (2022) Vol. 151, pp. 106246-106246
Closed Access | Times Cited: 10
xECGArch: A trustworthy deep learning architecture for interpretable ECG analysis considering short-term and long-term features
Marc Goettling, Alexander Hammer, Hagen Malberg, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Chest x-ray diagnosis via spatial-channel high-order attention representation learning
Xinyue Gao, Bo Jiang, Xixi Wang, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 4, pp. 045026-045026
Closed Access
MeDiANet: A Lightweight Network for Large-scale Multi-disease Classification of Multi-modal Medical Images Using Dilated Convolution and Attention Network
Dipayan Dewan, Asim Manna, Apoorva Srivastava, et al.
Lecture notes in computer science (2024), pp. 170-184
Closed Access
A Multi-Feature Fusion Approach for ECG Signal Classification
Zicheng Hu, Wei Hu, Nana Liu, et al.
(2024), pp. 643-647
Closed Access
Assessing the Impact of Downsampled ECGs and Alternative Loss Functions in Multi-Label Classification of 12-Lead ECGs
Bjørn-Jostein Singstad, Eraraya Morenzo Muten
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
Using Inception Modules to Improve the Accuracy of Image Classification
Prekshi Vyas, Sajeev Singh
Advances in intelligent systems and computing (2023), pp. 181-192
Closed Access
A Novel Cardiac Arrhythmia Classification Method Using Visibility Graphs and Graph Convolutional Network
Dorsa EPMoghaddam, Ananya Muguli, Behnaam Aazhang
2014 48th Asilomar Conference on Signals, Systems and Computers (2023) Vol. 115.10, pp. 866-870
Closed Access
Exploring ECG Signal Analysis Techniques for Arrhythmia Detection: A Review
Et al. Sandhya Samant
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 9, pp. 4881-4896
Open Access
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