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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:

ECGNN: Enhancing Abnormal Recognition in 12-Lead ECG with Graph Neural Network
Xiongjun Zhao, Zhengyu Liu, Lin Han, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022)
Closed Access | Times Cited: 11

Showing 11 citing articles:

Fusion of edge detection and graph neural networks to classifying electrocardiogram signals
Linh T. Duong, Doan Thi Hoai Thu, Cong Q. Chu, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120107-120107
Open Access | Times Cited: 13
Fusion of multi-scale feature extraction and adaptive multi-channel graph neural network for 12-lead ECG classification
Teng Chen, Yumei Ma, Zhenkuan Pan, et al.
Computer Methods and Programs in Biomedicine (2025), pp. 108725-108725
Closed Access
PM2ECGCN: Parallelized spatial-temporal structures of multi-lead ECG with graph convolution network for multi-center cardiac disease diagnosis
Daomiao Wang, Qihan Hu, Chun-ge Cao, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123869-123869
Closed Access | Times Cited: 4
Graph Enhanced Low-Resource ECG Representation Learning for Emotion Recognition Based on Wearable Internet of Things
Jian Chen, Yuzhu Hu, Lalit Garg, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 24, pp. 39056-39068
Closed Access | Times Cited: 1
Inferring spatial–temporal dynamics of ECG signals with deep neural networks for cardiovascular diseases diagnosis
Haitao Yu, Yizhuo Lu, Shumei Zheng
Biomedical Signal Processing and Control (2024) Vol. 97, pp. 106668-106668
Closed Access | Times Cited: 1
An adaptive multi-graph neural network with multimodal feature fusion learning for MDD detection
Tao Xing, Yutao Dou, Xianliang Chen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Resan: A Residual Dual‐Attention Network for Abnormal Cardiac Activity Detection
Xuhui Wang, Yuanyuan Zhu, Fei Wu, et al.
Computational Intelligence (2024) Vol. 40, Iss. 6
Closed Access
SAPTSTA-AnoECG: a PatchTST-based ECG anomaly detection method with subtractive attention and data augmentation
Yifan Li, Mengjue Wang, Mingxiang Guan, et al.
Applied Intelligence (2024) Vol. 55, Iss. 3
Closed Access
Stress recognition based on graph structure representation of facial StO2
Jiaxiu Wang, Xinyu Liu, Yingjuan Jia, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 59, pp. 1481-1488
Closed Access | Times Cited: 1
Exploring Brain Connectivity with Spatial-Temporal Graph Neural Networks for Improved EEG Seizure Analysis
Junfeng Xie, Dafang Zhang, Wei Li
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023), pp. 1561-1566
Closed Access
A Novel Cardiac Arrhythmia Classification Method Using Visibility Graphs and Graph Convolutional Network
Dorsa EPMoghaddam, Ananya Muguli, Behnaam Aazhang
2014 48th Asilomar Conference on Signals, Systems and Computers (2023) Vol. 115.10, pp. 866-870
Closed Access
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