Yuxi Zhou
- Cardiology and Cardiovascular Medicine top 5%
- Cognitive Neuroscience top 5%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Topics
- ECG Monitoring and Analysis (10 papers)EEG and Brain-Computer Interfaces (7 papers)Phonocardiography and Auscultation Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsPhysics in Medicine and Biology
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yuxi Zhou
23 papers receiving 671 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Cardiology and Cardiovascular Medicine 453
- Cognitive Neuroscience 287
- Biomedical Engineering 132
- Pulmonary and Respiratory Medicine 121
- Artificial Intelligence 86
Countries citing papers authored by Yuxi Zhou
This map shows the geographic impact of Yuxi Zhou'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 Yuxi Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuxi Zhou more than expected).
Fields of papers citing papers by Yuxi Zhou
This network shows the impact of papers produced by Yuxi Zhou. 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 Yuxi Zhou. The network helps show where Yuxi Zhou may publish in the future.
Co-authorship network of co-authors of Yuxi Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Yuxi Zhou. A scholar is included among the top collaborators of Yuxi Zhou 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 Yuxi Zhou. Yuxi Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 5 | |
| 11 | 62 | |
| 12 | 17 | |
| 13 | 6 | |
| 14 | Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic reviewbreakdown → | 293 |
| 15 | 61 | |
| 16 | 13 | |
| 17 | 15 | |
| 18 | Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction | 3 |
| 19 | 107 | |
| 20 | 16 |
About Yuxi Zhou
Yuxi Zhou is a scholar working on Issues, ethics and legal aspects, Medical Laboratory Technology and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 687 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (10 papers), EEG and Brain-Computer Interfaces (7 papers) and Phonocardiography and Auscultation Techniques (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (453 citations), Cognitive Neuroscience (287 citations) and Health Informatics (17 citations). Yuxi Zhou has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Shenda Hong, Junyuan Shang, Cao Xiao, Jimeng Sun, Hongyan Li, Junqing Xie, Qingyun Wang, Chenqiang Gao, Yue Zhao and Fangcen Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Physics in Medicine and Biology.
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.