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 New 12-Lead ECG Signals Fusion Method Using Evolutionary CNN Trees for Arrhythmia Detection
Maytham N. Meqdad, Fardin Abdali-Mohammadi, Seifedine Kadry
Mathematics (2022) Vol. 10, Iss. 11, pp. 1911-1911
Open Access | Times Cited: 12
Maytham N. Meqdad, Fardin Abdali-Mohammadi, Seifedine Kadry
Mathematics (2022) Vol. 10, Iss. 11, pp. 1911-1911
Open Access | Times Cited: 12
Showing 12 citing articles:
Cardiac abnormalities from 12‐Lead ECG signals prediction based on deep convolutional neural network optimized with nomadic people optimization algorithm
S. V. Evangelin Sonia, R. Nedunchezhian, M. Rajalakshmi
International Journal of Adaptive Control and Signal Processing (2024) Vol. 38, Iss. 4, pp. 1136-1152
Closed Access | Times Cited: 4
S. V. Evangelin Sonia, R. Nedunchezhian, M. Rajalakshmi
International Journal of Adaptive Control and Signal Processing (2024) Vol. 38, Iss. 4, pp. 1136-1152
Closed Access | Times Cited: 4
An evaluation of ECG data fusion algorithms for wearable IoT sensors
Arlene John, Antony Padinjarathala, Emer P. Doheny, et al.
Information Fusion (2023) Vol. 96, pp. 237-251
Open Access | Times Cited: 11
Arlene John, Antony Padinjarathala, Emer P. Doheny, et al.
Information Fusion (2023) Vol. 96, pp. 237-251
Open Access | Times Cited: 11
Arrhythmia Disease Diagnosis Based on ECG Time–Frequency Domain Fusion and Convolutional Neural Network
Bocheng Wang, Guorong Chen, Rong Lü, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2022) Vol. 11, pp. 116-125
Open Access | Times Cited: 16
Bocheng Wang, Guorong Chen, Rong Lü, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2022) Vol. 11, pp. 116-125
Open Access | Times Cited: 16
Attention-assisted hybrid CNN-BILSTM-BiGRU model with SMOTE–Tomek method to detect cardiac arrhythmia based on 12-lead electrocardiogram signals
Sara Chopannejad, Arash Roshanpoor, Farahnaz Sadoughi
Digital Health (2024) Vol. 10
Open Access | Times Cited: 3
Sara Chopannejad, Arash Roshanpoor, Farahnaz Sadoughi
Digital Health (2024) Vol. 10
Open Access | Times Cited: 3
Developing Graph Convolutional Networks and Mutual Information for Arrhythmic Diagnosis Based on Multichannel ECG Signals
Bahare Andayeshgar, Fardin Abdali-Mohammadi, Majid Sepahvand, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 17, pp. 10707-10707
Open Access | Times Cited: 12
Bahare Andayeshgar, Fardin Abdali-Mohammadi, Majid Sepahvand, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 17, pp. 10707-10707
Open Access | Times Cited: 12
Arrhythmia detection by the graph convolution network and a proposed structure for communication between cardiac leads
Bahare Andayeshgar, Fardin Abdali-Mohammadi, Majid Sepahvand, et al.
BMC Medical Research Methodology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Bahare Andayeshgar, Fardin Abdali-Mohammadi, Majid Sepahvand, et al.
BMC Medical Research Methodology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Classification of electroencephalography using cooperative learning based on participating client balancing
Maytham N. Meqdad, Saif O. Husain, Alyaa Mohammed Jawad, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 13, Iss. 4, pp. 4692-4692
Open Access | Times Cited: 2
Maytham N. Meqdad, Saif O. Husain, Alyaa Mohammed Jawad, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 13, Iss. 4, pp. 4692-4692
Open Access | Times Cited: 2
MUSE: MUlti-lead Sub-beat ECG for remote AI based atrial fibrillation detection
Andrea Petroni, Francesca Cuomo, Gaetano Scarano, et al.
Journal of Network and Computer Applications (2022) Vol. 212, pp. 103544-103544
Closed Access | Times Cited: 3
Andrea Petroni, Francesca Cuomo, Gaetano Scarano, et al.
Journal of Network and Computer Applications (2022) Vol. 212, pp. 103544-103544
Closed Access | Times Cited: 3
Detection of Cardiac Arrhythmias Using Unsupervised Learning: A Preliminary Approach Based on PAM and CLARA Clustering Algorithms
Jessica Alvariño-Durán, Betania Hernández-Ocaña, José Hernández-Torruco, et al.
IFMBE proceedings (2024), pp. 594-601
Closed Access
Jessica Alvariño-Durán, Betania Hernández-Ocaña, José Hernández-Torruco, et al.
IFMBE proceedings (2024), pp. 594-601
Closed Access
Research on a Lightweight Arrhythmia Classification Model Based on Knowledge Distillation for Wearable Single-Lead ECG Monitoring Systems
Xiang An, Shiwen Shi, Qian Wang, et al.
Sensors (2024) Vol. 24, Iss. 24, pp. 7896-7896
Open Access
Xiang An, Shiwen Shi, Qian Wang, et al.
Sensors (2024) Vol. 24, Iss. 24, pp. 7896-7896
Open Access
Recognition of Cardiac Arrhythmia using ECG signals and Bio-inspired AWPSO Algorithms
Jyothirmai Digumarthi, V. M. Gayathri, R. Pitchai
Iraqi Journal for Electrical And Electronic Engineering (2023) Vol. 20, Iss. 1, pp. 95-103
Open Access
Jyothirmai Digumarthi, V. M. Gayathri, R. Pitchai
Iraqi Journal for Electrical And Electronic Engineering (2023) Vol. 20, Iss. 1, pp. 95-103
Open Access
Cardiac Arrhythmias Classification Using Machine Learning and Single-Lead ECG
Muhammad Nauman, Carson Failor, Wala Saadeh
2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS) (2023), pp. 758-762
Closed Access
Muhammad Nauman, Carson Failor, Wala Saadeh
2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS) (2023), pp. 758-762
Closed Access
