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:

LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
Khiem H. Le, Hieu H. Pham, Thao Nguyen, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104963-104963
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

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: 21

A Systematic Review of Machine Learning and IoT Applied to the Prediction and Monitoring of Cardiovascular Diseases
Alejandra Cuevas-Chávez, Yasmín Hernández, Javier Ortiz-Hernández, et al.
Healthcare (2023) Vol. 11, Iss. 16, pp. 2240-2240
Open Access | Times Cited: 20

IM-ECG: An interpretable framework for arrhythmia detection using multi-lead ECG
Rui Tao, Lin Wang, Yingnan Xiong, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121497-121497
Closed Access | Times Cited: 19

Advancing cardiac diagnostics: Exceptional accuracy in abnormal ECG signal classification with cascading deep learning and explainability analysis
Wei Zeng, Liangmin Shan, Chengzhi Yuan, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112056-112056
Closed Access | Times Cited: 5

A comprehensive review of explainable AI for disease diagnosis
Al Amin Biswas
Array (2024) Vol. 22, pp. 100345-100345
Open Access | Times Cited: 3

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

Leadwise clustering multi-branch network for multi-label ECG classification
Feiyan Zhou, Lingzhi Chen
Medical Engineering & Physics (2024) Vol. 130, pp. 104196-104196
Closed Access | Times Cited: 2

Towards explainability in artificial intelligence frameworks for heartcare: A comprehensive survey
M. U. Sreeja, Abin Oommen Philip, M. H. Supriya
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 6, pp. 102096-102096
Open Access | Times Cited: 2

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: 2

Explainable Artificial Intelligence for Medical Applications: A Review
Qiyang Sun, Alican Akman, Björn W. Schuller
ACM Transactions on Computing for Healthcare (2024)
Open Access | Times Cited: 2

A novel deep learning-based approach for sleep apnea detection using single-lead ECG signals
Anh-Tu Nguyen, Thao Nguyen, Huy-Khiem Le, et al.
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (2022), pp. 2046-2052
Open Access | Times Cited: 8

Adaptive atrial fibrillation detection focused on atrial activity analysis
Sen Liu, Jiacheng He, Aiguo Wang, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105677-105677
Closed Access | Times Cited: 4

Design and Implementation of an ARM-Based AI Module for Ectopic Beat Classification Using Custom and Structural Pruned Lightweight CNN
You-Liang Xie, Xin-Rong Lin, Cheng‐Yang Lee, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 12, pp. 19834-19844
Open Access | Times Cited: 1

MPCNN: A Novel Matrix Profile Approach for CNN-based Single Lead Sleep Apnea in Classification Problem
Hieu X. Nguyen, Duong V. Nguyen, Hieu H. Pham, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 8, pp. 4878-4890
Closed Access | Times Cited: 1

M-XAF: Medical explainable diagnosis system of atrial fibrillation based on medical knowledge and semantic representation fusion
Zhiyuan Li, Yanrui Jin, Yuanyuan Tian, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108890-108890
Closed Access | Times Cited: 1

A Deep Convolutional Model for Heart Disease Prediction based on ECG Data with Explainable AI
M. U. Sreeja, M. H. Supriya
WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS (2023) Vol. 20, pp. 254-264
Open Access | Times Cited: 3

The Role of Artificial Intelligence in Diagnosing Heart Disease in Humans: A Review
Tamara Hameed Yousiaf, Mohammed Sabbih Hamoud Al-Tamimi
Journal of Applied Engineering and Technological Science (JAETS) (2023) Vol. 5, Iss. 1, pp. 321-338
Open Access | Times Cited: 3

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

12-Lead ECG Classification Based on Channel Self-Attention Mechanism Integrated Expert Features
Kaiwei Li, Jinmeng Li, Jiahui Li, et al.
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) (2024), pp. 616-619
Closed Access

A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
(2023)
Open Access | Times Cited: 1

Explainable Deep Learning Based-System for Multilabel Classification of 12-Lead ECG
Yousra Chahinez Hadj Azzem, Fouzi Harrag
(2023), pp. 1-6
Closed Access | Times Cited: 1

Towards explaining deep neural network-based heart age estimation
Philip Hempel, Theresa Bender, Keshav Gandhi, et al.
(2023), pp. 41-42
Closed Access | Times Cited: 1

Accuracy of Smartwatch Electrocardiographic Recording in the Acute Coronary Syndrome Setting: Rationale and Design of the ACS WATCH II Study
Mauro Buelga Suárez, Marina Pascual Izco, Jesús García Montalvo, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 2, pp. 389-389
Open Access

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