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:
Detection of Atrial Fibrillation From Variable-Duration ECG Signal Based on Time-Adaptive Densely Network and Feature Enhancement Strategy
Xianbin Zhang, Mingzhe Jiang, Kemal Polat, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 944-955
Closed Access | Times Cited: 28
Xianbin Zhang, Mingzhe Jiang, Kemal Polat, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 944-955
Closed Access | Times Cited: 28
Showing 1-25 of 28 citing articles:
AFibri-Net: A Lightweight Convolution Neural Network Based Atrial Fibrillation Detector
Nabasmita Phukan, M. Sabarimalai Manikandan, Ram Bilas Pachori
IEEE Transactions on Circuits and Systems I Regular Papers (2023) Vol. 70, Iss. 12, pp. 4962-4974
Closed Access | Times Cited: 24
Nabasmita Phukan, M. Sabarimalai Manikandan, Ram Bilas Pachori
IEEE Transactions on Circuits and Systems I Regular Papers (2023) Vol. 70, Iss. 12, pp. 4962-4974
Closed Access | Times Cited: 24
ECG-based Transfer Learning for Cardiovascular Disease: A Scoping Review
Sharifah Noor Masidayu Sayed Ismail, Abdul Razak, Nor Azlina Ab. Aziz
International Journal of Cognitive Computing in Engineering (2025)
Open Access | Times Cited: 1
Sharifah Noor Masidayu Sayed Ismail, Abdul Razak, Nor Azlina Ab. Aziz
International Journal of Cognitive Computing in Engineering (2025)
Open Access | Times Cited: 1
An atrial fibrillation detection algorithm based on lightweight design architecture and feature fusion strategy
Yongjian Li, Meng Chen, Xinge Jiang, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 106016-106016
Closed Access | Times Cited: 5
Yongjian Li, Meng Chen, Xinge Jiang, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 106016-106016
Closed Access | Times Cited: 5
Multiscale feature enhanced gating network for atrial fibrillation detection
X.F. Wu, Mingke Yan, Renqiao Wang, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 261, pp. 108606-108606
Closed Access
X.F. Wu, Mingke Yan, Renqiao Wang, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 261, pp. 108606-108606
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
Chenglin Lin, Huimin Lu, Pengcheng Sang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Application of Transfer Learning for Biomedical Signals: A Comprehensive Review of the Last Decade (2014-2024)
Mahboobeh Jafari, Xiaohui Tao, Prabal Datta Barua, et al.
Information Fusion (2025) Vol. 118, pp. 102982-102982
Open Access
Mahboobeh Jafari, Xiaohui Tao, Prabal Datta Barua, et al.
Information Fusion (2025) Vol. 118, pp. 102982-102982
Open Access
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)
Massimo Salvi, Madhav R. Acharya, Silvia Seoni, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 3
Closed Access | Times Cited: 4
Massimo Salvi, Madhav R. Acharya, Silvia Seoni, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 3
Closed Access | Times Cited: 4
Yifan Li, Xiaoyan Peng, Weixun Cai, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111396-111396
Open Access | Times Cited: 3
Enhancing atrial fibrillation classification from single-lead electrocardiogram signals using attention-based networks and generative adversarial networks with density-based clustering
Godwin Msigwa, Ester Ntambala, Jaeseok Yun
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108607-108607
Closed Access | Times Cited: 3
Godwin Msigwa, Ester Ntambala, Jaeseok Yun
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108607-108607
Closed Access | Times Cited: 3
AF identification from time frequency analysis of ECG signal using deep neural networks
Thivya Anbalagan, Malaya Kumar Nath
IEEE Sensors Letters (2024) Vol. 8, Iss. 9, pp. 1-4
Closed Access | Times Cited: 3
Thivya Anbalagan, Malaya Kumar Nath
IEEE Sensors Letters (2024) Vol. 8, Iss. 9, pp. 1-4
Closed Access | Times Cited: 3
Morphological Autoencoders for Beat-by-Beat Atrial Fibrillation Detection Using Single-Lead ECG
Rafael Silva, Ana Fred, Hugo Silva
Sensors (2023) Vol. 23, Iss. 5, pp. 2854-2854
Open Access | Times Cited: 4
Rafael Silva, Ana Fred, Hugo Silva
Sensors (2023) Vol. 23, Iss. 5, pp. 2854-2854
Open Access | Times Cited: 4
Wearable 12-Lead ECG Acquisition Using a Novel Deep Learning Approach from Frank or EASI Leads with Clinical Validation
Fan Fu, Dacheng Zhong, Jiamin Liu, et al.
Bioengineering (2024) Vol. 11, Iss. 3, pp. 293-293
Open Access | Times Cited: 1
Fan Fu, Dacheng Zhong, Jiamin Liu, et al.
Bioengineering (2024) Vol. 11, Iss. 3, pp. 293-293
Open Access | Times Cited: 1
Automated cardiac arrhythmia detection techniques: a comprehensive review for prospective approach
Chandan Kumar Jha
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-16
Closed Access | Times Cited: 1
Chandan Kumar Jha
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-16
Closed Access | Times Cited: 1
Emotion classification using electrocardiogram and machine learning: A study on the effect of windowing techniques
Praveen Kumar Govarthan, Sriram Kumar Peddapalli, Nagarajan Ganapathy, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124371-124371
Closed Access | Times Cited: 1
Praveen Kumar Govarthan, Sriram Kumar Peddapalli, Nagarajan Ganapathy, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124371-124371
Closed Access | Times Cited: 1
Class activation map-based slicing-concatenation and contrastive learning: A novel strategy for record-level atrial fibrillation detection
Qiang Zhu, Lingwei Zhang, Fei Lü, et al.
Expert Systems with Applications (2024), pp. 125619-125619
Closed Access | Times Cited: 1
Qiang Zhu, Lingwei Zhang, Fei Lü, et al.
Expert Systems with Applications (2024), pp. 125619-125619
Closed Access | Times Cited: 1
Visualized Lead Selection for Arrhythmia Classification Based on a Lead Activation Heatmap Using Multi-Lead ECGs
Heng Wang, Tengqun Shen, Jiang Shou-fen, et al.
Bioengineering (2024) Vol. 11, Iss. 6, pp. 578-578
Open Access
Heng Wang, Tengqun Shen, Jiang Shou-fen, et al.
Bioengineering (2024) Vol. 11, Iss. 6, pp. 578-578
Open Access
Atrial Fibrillation Prediction Based on Recurrence Plot and ResNet
Haihang Zhu, Nan Jiang, Shudong Xia, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 4978-4978
Open Access
Haihang Zhu, Nan Jiang, Shudong Xia, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 4978-4978
Open Access
ECGBlocks: A New Block-Based Segmentation and Stacked CNN for Atrial Fibrillation Detection Using Short Single-Lead ECG
Khadidja Benchaira, Salim Bitam, Zineb Djihane Agli
Arabian Journal for Science and Engineering (2024)
Closed Access
Khadidja Benchaira, Salim Bitam, Zineb Djihane Agli
Arabian Journal for Science and Engineering (2024)
Closed Access
A deep learning method for beat-level risk analysis and interpretation of atrial fibrillation patients during sinus rhythm
Jun Lei, Yuxi Zhou, Tian Xue, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107028-107028
Open Access
Jun Lei, Yuxi Zhou, Tian Xue, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107028-107028
Open Access
A Lightweight Convolutional Neural Network for Atrial Fibrillation Detection Using Dual-Channel Binary Features from Single-Lead Short ECG
Jiahao Liu, Xiao Liu, Liang Zhou, et al.
2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS) (2023) Vol. 31, pp. 1-5
Closed Access | Times Cited: 1
Jiahao Liu, Xiao Liu, Liang Zhou, et al.
2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS) (2023) Vol. 31, pp. 1-5
Closed Access | Times Cited: 1
Higher Order Time-Frequency Domain Tensor-Based Method for the Detection of Atrial Abnormalities Using 12-Lead ECG Signals
Chhaviraj Chauhan, Rajesh Kumar Tripathy, Monika Agrawal
IEEE Sensors Letters (2023) Vol. 7, Iss. 8, pp. 1-4
Closed Access | Times Cited: 1
Chhaviraj Chauhan, Rajesh Kumar Tripathy, Monika Agrawal
IEEE Sensors Letters (2023) Vol. 7, Iss. 8, pp. 1-4
Closed Access | Times Cited: 1
DLMEKL: Design of an Efficient Deep Learning Model for Analyzing the Effect of ECG and EEG Disturbances on Kidney, Lungs and Liver Functions
Sruthi Nair
Communications in computer and information science (2023), pp. 70-84
Closed Access
Sruthi Nair
Communications in computer and information science (2023), pp. 70-84
Closed Access
Table of Contents
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 2, pp. 583-585
Open Access
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 2, pp. 583-585
Open Access
Novel HRV Metrics using Analytic Signal Representation of Interbeat Intervals for New Insights on Cardiac Dynamics
Sawon Pratiher, Apoorva Srivastava, Mrinal Acharya, et al.
(2023)
Open Access
Sawon Pratiher, Apoorva Srivastava, Mrinal Acharya, et al.
(2023)
Open Access
Novel HRV Metrics using Analytic Signal Representation of Interbeat Intervals for New Insights on Cardiac Dynamics
Sawon Pratiher, Apoorva Srivastava, Mrinal Acharya, et al.
(2023)
Open Access
Sawon Pratiher, Apoorva Srivastava, Mrinal Acharya, et al.
(2023)
Open Access
