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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:

xECGNet: Fine-tuning attention map within convolutional neural network to improve detection and explainability of concurrent cardiac arrhythmias
Jungsun Yoo, Tae Joon Jun, Young‐Hak Kim
Computer Methods and Programs in Biomedicine (2021) Vol. 208, pp. 106281-106281
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Hui Wen Loh, Chui Ping Ooi, Silvia Seoni, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107161-107161
Open Access | Times Cited: 427
Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks
Sajid Nazir, Diane M. Dickson, Muhammad Usman Akram
Computers in Biology and Medicine (2023) Vol. 156, pp. 106668-106668
Open Access | Times Cited: 124
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: 77
State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review
Georgios Petmezas, Leandros Stefanopoulos, Vassilis Kilintzis, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 8, pp. e38454-e38454
Open Access | Times Cited: 57
Interpretation and Classification of Arrhythmia Using Deep Convolutional Network
Prateek Singh, Ambalika Sharma
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 37
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
An Attentive Spatio-Temporal Learning-Based Network for Cardiovascular Disease Diagnosis
Debasish Jyotishi, Samarendra Dandapat
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 8, pp. 4661-4671
Closed Access | Times Cited: 19
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: 7
Clinical knowledge-based ECG abnormalities detection using dual-view CNN-Transformer and external attention mechanism
Hui Li, Jiyang Han, Honghao Zhang, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108751-108751
Closed Access | Times Cited: 7
Class-Driven Graph Attention Network for Multi-Label Time Series Classification in Mobile Health Digital Twins
Le Sun, Chenyang Li, Bo Liu, et al.
IEEE Journal on Selected Areas in Communications (2023) Vol. 41, Iss. 10, pp. 3267-3278
Closed Access | Times Cited: 16
Label correlation embedding guided network for multi-label ECG arrhythmia diagnosis
Shaolin Ran, Xiang Li, Beizhen Zhao, et al.
Knowledge-Based Systems (2023) Vol. 270, pp. 110545-110545
Closed Access | Times Cited: 14
Beyond Supervised Learning for Pervasive Healthcare
Xiao Gu, Fani Deligianni, Jinpei Han, et al.
IEEE Reviews in Biomedical Engineering (2023) Vol. 17, pp. 42-62
Open Access | Times Cited: 14
A review of evaluation approaches for explainable AI with applications in cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 5
Understandable time frame-based biosignal processing
Hamed Rafiei, Mohammad-R. Akbarzadeh-T
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107429-107429
Closed Access
Explainable AI in Medical Imaging, Personalized Medicine, and Bias Reduction
Komal Sharma, Ganesh Kumar Sethi, Shamneesh Sharma, et al.
(2025), pp. 467-492
Closed Access
A Holistic Overview of Artificial Intelligence in Detection, Classification and Prediction of Atrial Fibrillation Using Electrocardiogram: A Systematic Review and Meta-analysis
Arya Bhardwaj, Dhananjay Budaraju, P. Venkatesh, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4063-4079
Closed Access | Times Cited: 8
Non‐coplanar CBCT image reconstruction using a generative adversarial network for non‐coplanar radiotherapy
Ran Wei, Zhiyue Song, Ziqi Pan, et al.
Journal of Applied Clinical Medical Physics (2024) Vol. 25, Iss. 10
Open Access | Times Cited: 2
Residual one-dimensional convolutional neural network for neuromuscular disorder classification from needle electromyography signals with explainability
Jaesung Yoo, Ilhan Yoo, Ina Youn, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107079-107079
Open Access | Times Cited: 10
Enhanced tolerance-based intuitionistic fuzzy rough set theory feature selection and ResNet-18 feature extraction model for arrhythmia classification
M. Rajeshwari, K. Kavitha
Multiagent and Grid Systems (2023) Vol. 18, Iss. 3-4, pp. 241-261
Closed Access | Times Cited: 4
Multi-Label Diagnosis of Arrhythmias Based on a Modified Two-Category Cross-Entropy Loss Function
Junjiang Zhu, Cheng Ma, Yihui Zhang, et al.
Electronics (2023) Vol. 12, Iss. 24, pp. 4976-4976
Open Access | Times Cited: 4
Diagnostic and Prognostic Electrocardiogram-Based Models for Rapid Clinical Applications
Md. Saiful Islam, Sunil V. Kalmady, Abram Hindle, et al.
Canadian Journal of Cardiology (2024) Vol. 40, Iss. 10, pp. 1788-1803
Closed Access | Times Cited: 1
Arrhythmia Classification Based on Bi-Directional Long Short-Term Memory and Multi-Task Group Method
Shaik Munawar, Geetha Angappan, Srinivas Konda
International Journal of e-Collaboration (2023) Vol. 19, Iss. 1, pp. 1-18
Open Access | Times Cited: 2
Quantified Explainability: Convolutional Neural Network Focus Assessment in Arrhythmia Detection
Rui Sousa Pedro Varandas, Bernardo Gonçalves, Hugo Gambôa, et al.
BioMedInformatics (2022) Vol. 2, Iss. 1, pp. 124-138
Open Access | Times Cited: 4
An Evolutionary-Neural Mechanism for Arrhythmia Classification With Optimum Features Using Single-Lead Electrocardiogram
Amnah Nasim, David C. Nchekwube, Farzeen Munir, et al.
IEEE Access (2022) Vol. 10, pp. 99050-99065
Open Access | Times Cited: 3
Physiological signal analysis using explainable artificial intelligence: A systematic review
Jian Shen, Jinwen Wu, Huajian Liang, et al.
Neurocomputing (2024), pp. 128920-128920
Closed Access
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