Cuiwei Yang

703 total citations
75 papers, 454 citations indexed

About

Cuiwei Yang is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Cuiwei Yang has authored 75 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cardiology and Cardiovascular Medicine, 18 papers in Cognitive Neuroscience and 17 papers in Biomedical Engineering. Recurrent topics in Cuiwei Yang's work include ECG Monitoring and Analysis (40 papers), Cardiac electrophysiology and arrhythmias (25 papers) and EEG and Brain-Computer Interfaces (16 papers). Cuiwei Yang is often cited by papers focused on ECG Monitoring and Analysis (40 papers), Cardiac electrophysiology and arrhythmias (25 papers) and EEG and Brain-Computer Interfaces (16 papers). Cuiwei Yang collaborates with scholars based in China, United States and Japan. Cuiwei Yang's co-authors include Aiguo Wang, Ziqian Wu, Yanan Wang, Jian Liu, Xintao Deng, Rui Yang, Zhong Wu, Wenxin Liu, Xin Liu and Yuanyuan Wang and has published in prestigious journals such as Nature Communications, Expert Systems with Applications and IEEE Access.

In The Last Decade

Cuiwei Yang

62 papers receiving 445 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cuiwei Yang China 11 281 167 120 37 34 75 454
Ivo Viščor Czechia 16 489 1.7× 197 1.2× 79 0.7× 60 1.6× 17 0.5× 59 668
Sina Zarei Mahmoodabadi Canada 8 145 0.5× 146 0.9× 83 0.7× 24 0.6× 29 0.9× 17 379
Nagarajan Ganapathy India 11 123 0.4× 177 1.1× 152 1.3× 16 0.4× 17 0.5× 62 488
Filip Plešinger Czechia 19 634 2.3× 340 2.0× 108 0.9× 72 1.9× 12 0.4× 81 928
Ricardo Rodríguez Jorge Mexico 9 97 0.3× 76 0.5× 76 0.6× 40 1.1× 42 1.2× 28 292
Hasballah Zakaria Indonesia 10 105 0.4× 62 0.4× 153 1.3× 66 1.8× 12 0.4× 72 412
Pierre-Yves Guméry France 10 87 0.3× 59 0.4× 134 1.1× 64 1.7× 24 0.7× 37 311
Asghar Zarei Iran 6 115 0.4× 211 1.3× 133 1.1× 20 0.5× 166 4.9× 11 383
Yuxi Luo China 13 68 0.2× 206 1.2× 90 0.8× 21 0.6× 121 3.6× 60 493
Hakseung Kim South Korea 12 66 0.2× 155 0.9× 85 0.7× 17 0.5× 20 0.6× 44 412

Countries citing papers authored by Cuiwei Yang

Since Specialization
Citations

This map shows the geographic impact of Cuiwei Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cuiwei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuiwei Yang more than expected).

Fields of papers citing papers by Cuiwei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cuiwei Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cuiwei Yang. The network helps show where Cuiwei Yang may publish in the future.

Co-authorship network of co-authors of Cuiwei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Cuiwei Yang. A scholar is included among the top collaborators of Cuiwei Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cuiwei Yang. Cuiwei Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Yanan, et al.. (2025). Bridging the gap between computer vision and bioelectrical signal analysis. Information Fusion. 129. 104047–104047.
2.
3.
Chen, Haonan, et al.. (2025). A Deep Learning‐Based Multimodal Fusion Model for Recurrence Prediction in Persistent Atrial Fibrillation Patients. Journal of Cardiovascular Electrophysiology. 36(8). 1785–1797.
4.
5.
Li, Pan, Maiping Yang, Jing Zhang, et al.. (2024). The rise of intelligent fabric agent from mass-produced advanced fiber materials. Science Bulletin. 69(23). 3644–3647. 8 indexed citations
6.
Chen, Wei, et al.. (2024). Risk Analysis of Atrial Fibrillation Based on ECG Phenotypes: The RAF-ECP Study Protocol. PubMed. 4(6). 617–632. 1 indexed citations
7.
Wang, Qin, et al.. (2024). A Wearable Solution of Muscle Atrophy Assessment: Oriented Toward Upper Limb Rehabilitation. Electronics. 13(20). 4138–4138.
8.
Liu, Jian, Hengtian Zhu, Wei Xiang, et al.. (2024). An IoMT-Driven Framework for Precision Cardiovascular Assessment Incorporating Multiscale Perspectives and Microfiber Bragg Grating. IEEE Internet of Things Journal. 12(4). 4050–4064. 2 indexed citations
9.
Yang, Cuiwei, et al.. (2023). Comprehensive analysis of heart rate variability features for accurate prediction of paroxysmal atrial fibrillation. Biomedical Signal Processing and Control. 87. 105489–105489. 3 indexed citations
10.
Wang, Aiguo, et al.. (2023). Adaptive atrial fibrillation detection focused on atrial activity analysis. Biomedical Signal Processing and Control. 88. 105677–105677. 5 indexed citations
11.
Liu, Jian, et al.. (2023). A novel interpretable feature set optimization method in blood pressure estimation using photoplethysmography signals. Biomedical Signal Processing and Control. 86. 105184–105184. 8 indexed citations
12.
Wang, Yiwen, et al.. (2023). A “two-step classification” machine learning method for non-invasive localization of premature ventricular contraction origins based on 12-lead ECG. Journal of Interventional Cardiac Electrophysiology. 67(3). 457–470. 4 indexed citations
13.
Yuan, Han, et al.. (2022). A 3D-CNN with temporal-attention block to predict the recurrence of atrial fibrillation based on body-surface potential mapping signals. Frontiers in Physiology. 13. 1030307–1030307. 2 indexed citations
14.
15.
Deng, Xintao, et al.. (2020). A novel method for continuous blood pressure estimation based on a single-channel photoplethysmogram signal. Physiological Measurement. 41(12). 125009–125009. 18 indexed citations
16.
Wu, Ziqian, et al.. (2019). A Novel Method to Detect Multiple Arrhythmias Based on Time-Frequency Analysis and Convolutional Neural Networks. IEEE Access. 7. 170820–170830. 36 indexed citations
17.
Li, Xiaoou, et al.. (2019). Prediction of atrial fibrillation using the recurrence complex network of body surface potential mapping signals. Technology and Health Care. 27(1_suppl). 287–300. 2 indexed citations
18.
Li, Wenhai, Cuiwei Yang, Yanlei Wang, et al.. (2016). Several insights into the preprocessing of electrograms in atrial fibrillation for dominant frequency analysis. BioMedical Engineering OnLine. 15(1). 38–38. 6 indexed citations
19.
Han, Xinwei, Yao Chen, Weihua Gao, et al.. (2006). Study of the restitution of action potential duration using the artificial neural network. Mathematical Biosciences. 207(1). 78–88. 2 indexed citations
20.
Yang, Cuiwei, et al.. (2005). A New System for Whole-atrial Epicardial Mapping. PubMed. 8. 7080–7082. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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