Aiyun Chen
Impact in
- Signal Processing top 10%
- Video Coding and Compression Technologies
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- ECG Monitoring and Analysis
Papers in
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- Research in Cotton Cultivation 3
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- ECG Monitoring and Analysis 3
- Co-authors
- Jin He (3 shared papers)Wenhan Liu (3 shared papers)Sheng Chang (3 shared papers)Qijun Huang (3 shared papers)Fei Wang (2 shared papers)Haixia Guo (4 shared papers)Hao Wang (1 shared paper)Huihui� Guo (3 shared papers)
- Journals
- Gene (1 paper)BMC Health Services Research (1 paper)Scientific Reports (1 paper)International Journal of Environmental Research and Public Health (1 paper)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Aiyun Chen
13 papers receiving 322 citations
Peers
Comparison fields: 5 of 84
- Signal Processing 44
- Cardiology and Cardiovascular Medicine 81
- Cognitive Neuroscience 60
- Plant Science 107
- Computer Vision and Pattern Recognition 58
Countries citing papers authored by Aiyun Chen
This map shows the geographic impact of Aiyun Chen'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 Aiyun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aiyun Chen more than expected).
Fields of papers citing papers by Aiyun Chen
This network shows the impact of papers produced by Aiyun Chen. 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 Aiyun Chen. The network helps show where Aiyun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Aiyun Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 100 | |
| 2 | 2020 | 67 | |
| 3 | 2021 | 45 | |
| 4 | 2022 | 31 | |
| 5 | 2020 | 20 | |
| 6 | 2020 | 18 | |
| 7 | 2019 | 14 | |
| 8 | 2020 | 13 | |
| 9 | 2022 | 11 | |
| 10 | 2023 | 6 | |
| 11 | 2021 | 3 | |
| 12 | Application of Neural Network to Monitoring of Foundation-Pit | 2004 | 1 |
| 13 | 2023 | 1 |
About Aiyun Chen
Aiyun Chen is a scholar working on Plant Science, Cardiology and Cardiovascular Medicine, Signal Processing, Biomedical Engineering and Computer Networks and Communications, having authored 13 papers that have together received 330 indexed citations. Recurring topics across this work include Research in Cotton Cultivation (3 papers), ECG Monitoring and Analysis (3 papers), Patient Satisfaction in Healthcare (2 papers), Caching and Content Delivery (2 papers), EEG and Brain-Computer Interfaces (2 papers), Peer-to-Peer Network Technologies (2 papers), Image and Video Quality Assessment (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Signal Processing (44 citations), Cardiology and Cardiovascular Medicine (81 citations), Cognitive Neuroscience (60 citations), Plant Science (107 citations) and Computer Vision and Pattern Recognition (58 citations). Aiyun Chen has collaborated with scholars based in China and United States. Frequent co-authors include Jin He, Wenhan Liu, Sheng Chang, Qijun Huang, Fei Wang, Haixia Guo, Hao Wang, Huihui� Guo, Fanchang Zeng and Zhaohui Chu. Their work appears in journals such as Gene, BMC Health Services Research, Scientific Reports, International Journal of Environmental Research and Public Health and Computer Methods and Programs in Biomedicine.
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.