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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:

Multi-class 12-lead ECG automatic diagnosis based on a novel subdomain adaptive deep network
Yanrui Jin, Zhiyuan Li, Yunqing Liu, et al.
Science China Technological Sciences (2022) Vol. 65, Iss. 11, pp. 2617-2630
Closed Access | Times Cited: 20

Showing 20 citing articles:

A novel LSTM-autoencoder and enhanced transformer-based detection method for shield machine cutterhead clogging
Chengjin Qin, Ruihong Wu, Guoqiang Huang, et al.
Science China Technological Sciences (2023) Vol. 66, Iss. 2, pp. 512-527
Closed Access | Times Cited: 57
A multi-stage data augmentation and AD-ResNet-based method for EPB utilization factor prediction
Honggan Yu, Hao Sun, Jianfeng Tao, et al.
Automation in Construction (2023) Vol. 147, pp. 104734-104734
Closed Access | Times Cited: 53
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
Ahmad Chaddad, Qizong Lu, Jiali Li, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 4, pp. 859-876
Open Access | Times Cited: 45
A residual denoising and multiscale attention-based weighted domain adaptation network for tunnel boring machine main bearing fault diagnosis
Zhong Tao, Chengjin Qin, Gang Shi, et al.
Science China Technological Sciences (2024) Vol. 67, Iss. 8, pp. 2594-2618
Closed Access | Times Cited: 18
A novel attentional deep neural network-based assessment method for ECG quality
Yanrui Jin, Zhiyuan Li, Chengjin Qin, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104064-104064
Closed Access | Times Cited: 45
A multi-scale convolutional neural network for bearing compound fault diagnosis under various noise conditions
Yanrui Jin, Chengjin Qin, ZhiNan Zhang, et al.
Science China Technological Sciences (2022) Vol. 65, Iss. 11, pp. 2551-2563
Closed Access | Times Cited: 44
Cardiologist-level interpretable knowledge-fused deep neural network for automatic arrhythmia diagnosis
Yanrui Jin, Zhiyuan Li, Mengxiao Wang, et al.
Communications Medicine (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 14
A novel deep wavelet convolutional neural network for actual ECG signal denoising
Yanrui Jin, Chengjin Qin, Jinlei Liu, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105480-105480
Closed Access | Times Cited: 19
A novel P-QRS-T wave localization method in ECG signals based on hybrid neural networks
Jinlei Liu, Yanrui Jin, Yunqing Liu, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106110-106110
Closed Access | Times Cited: 21
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
A real-time multi-head mixed attention mechanism-based prediction method for tunnel boring machine disc cutter wear
Haodi Wang, Chengjin Qin, Honggan Yu, et al.
Science China Technological Sciences (2024) Vol. 68, Iss. 1
Closed Access | Times Cited: 4
Cross-database and cross-channel electrocardiogram arrhythmia heartbeat classification based on unsupervised domain adaptation
Md. Niaz Imtiaz, Naimul Khan
Expert Systems with Applications (2023) Vol. 244, pp. 122960-122960
Closed Access | Times Cited: 10
Method for Solving Difficulties in Rhythm Classification Caused by Few Samples and Similar Characteristics in Electrocardiograms
Jaewon Lee, Miyoung Shin
Bioengineering (2023) Vol. 10, Iss. 2, pp. 196-196
Open Access | Times Cited: 6
RETRACTED: Heart disease classification models from optical device-based electrocardiogram signals using machine learning algorithms
Shimpy Goyal, Jaishri M. Waghmare, Manjiri Ranjanikar
Optik (2022) Vol. 271, pp. 170176-170176
Closed Access | Times Cited: 8
Invisible track bed defect classification method based on distributed optical fiber sensing system and FFT Attention Transformer model
Junyufeng Chen, Kai Lin, Linfeng Hu, et al.
Optical Engineering (2024) Vol. 63, Iss. 03
Closed Access | Times Cited: 1
Multi-label classification of arrhythmia using dynamic graph convolutional network based on encoder-decoder framework
Yuhao Cheng, Wenliang Zhu, Deyin Li, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106348-106348
Closed Access | Times Cited: 1
A novel interpretable multilevel wavelet decomposition deep network for actual heartbeat classification
Yanrui Jin, Zhiyuan Li, Yuanyuan Tian, et al.
Science China Technological Sciences (2024) Vol. 67, Iss. 6, pp. 1842-1854
Closed Access | Times Cited: 1
A novel lightweight computerized ECG interpretation approach based on clinical 12-lead data
Yunqing Liu, Chengjin Qin, JinLei Liu, et al.
Science China Technological Sciences (2023) Vol. 67, Iss. 2, pp. 449-463
Closed Access | Times Cited: 1
Amazing Power of DINOv2 for Automatic Diagnosis of 12-Lead ECG
Kushal Pal Singh, B. Chandra, Prem Kalra, et al.
2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2023), pp. 1386-1391
Closed Access | Times Cited: 1
Research on arrhythmia classification based on domain adaptation
Luyao Chao, Zhanbo Li, Hongpo Zhang
(2023), pp. 147-152
Closed Access
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