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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:

MVKT-ECG: Efficient single-lead ECG classification for multi-label arrhythmia by multi-view knowledge transferring
Yuzhen Qin, Li Sun, Hui Chen, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107503-107503
Open Access | Times Cited: 10

Showing 10 citing articles:

A knowledge-driven graph convolutional network for abnormal electrocardiogram diagnosis
Zhaoyang Ge, Huiqing Cheng, Zhuang Tong, et al.
Knowledge-Based Systems (2024) Vol. 296, pp. 111906-111906
Closed Access | Times Cited: 7
ECGencode: Compact and computationally efficient deep learning feature encoder for ECG signals
Lennert Bontinck, Karel Fonteyn, Tom Dhaene, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124775-124775
Closed Access | Times Cited: 4
Semi-supervised multi-label cardiovascular diseases detection via contrastive learning and label inference
Ning Wang, Haiyan Wang, Panpan Feng, et al.
Knowledge-Based Systems (2025), pp. 113173-113173
Closed Access
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
Differentiated knowledge distillation: Patient-specific single-sample personalization for electrocardiogram diagnostic models
Xiaoyang Wei, Zhiyuan Li, Yuanyuan Tian, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108880-108880
Closed Access | Times Cited: 1
Cardioish: Lead-Based Feature Extraction for ECG Signals
Türker Tuncer, Abdul Hafeez‐Baig, Emrah Aydemir, et al.
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2712-2712
Open Access | Times Cited: 1
Transferring Knowledge from 12-Lead to 1-Lead ECGs via Contrastive Learning
Sergey Skorik, A. Avetisyan, Ekaterina Diatlinko, et al.
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2024), pp. 1825-1830
Closed Access
Online Co-Learning Strategy Based on Multi-Branch Multi-Scale Network for 12-Lead ECG Classification
S.H. Han, Caiyun Ma, Z. J. Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access
A deep learning-based approach for Multiple Sclerosis Lesion Segmentation
Hanene Ben Abdelali, Mouna Sahnoun, Salma Sakka, et al.
Research Square (Research Square) (2024)
Open Access
Bskdecg: A Novel Balanced Self-Supervised Knowledge Distillation Framework for Electrocardiogram Arrhythmia Diagnosis of Wearable Devices
Yong Wang, Chunyan An, Wenming Yang, et al.
(2023)
Closed Access
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