Peng Su
Impact in
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- Heart Rate Variability and Autonomic Control
- ECG Monitoring and Analysis
- Cardiovascular Health and Disease Prevention
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- Non-Invasive Vital Sign Monitoring
- Advanced Sensor and Energy Harvesting Materials
Papers in
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- IoT and Edge/Fog Computing 1
- Sensor Technology and Measurement Systems 1
- Co-authors
- Xiaorong Ding (2 shared papers)Yuan‐Ting Zhang (2 shared papers)Bryan P. Yan (2 shared papers)Ni Zhao (2 shared papers)Jing Liu (2 shared papers)Mengmeng Lu (1 shared paper)Yuanyuan Chen (1 shared paper)Huixuan Fu (1 shared paper)
- Journals
- IEEE Transactions on Biomedical Engineering (1 paper)Ocean Engineering (1 paper)The Journal of Supercomputing (1 paper)PubMed (1 paper)The HKU Scholars Hub (University of Hong Kong) (1 paper)
In The Last Decade
Peng Su
6 papers receiving 137 citations
Peers
Comparison fields: 5 of 41
- Cardiology and Cardiovascular Medicine 68
- Biomedical Engineering 92
- Surgery 52
- Computer Vision and Pattern Recognition 16
- Radiology, Nuclear Medicine and Imaging 15
Countries citing papers authored by Peng Su
This map shows the geographic impact of Peng Su'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 Peng Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Su more than expected).
Fields of papers citing papers by Peng Su
This network shows the impact of papers produced by Peng Su. 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 Peng Su. The network helps show where Peng Su may publish in the future.
Co-authors
The 11 scholars most cited alongside Peng Su, 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 | 2018 | 100 | |
| 2 | 2021 | 18 | |
| 3 | 2024 | 10 | |
| 4 | 2016 | 9 | |
| 5 | 2017 | 3 | |
| 6 | Design and analysis of FIR filters based on Matlab | 2013 | 2 |
About Peng Su
Peng Su is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering and Surgery, having authored 6 papers that have together received 142 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (2 papers), Vehicle Dynamics and Control Systems (1 paper), IoT and Edge/Fog Computing (1 paper), Sensor Technology and Measurement Systems (1 paper), Smart Cities and Technologies (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Hemodynamic Monitoring and Therapy (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (68 citations), Biomedical Engineering (92 citations), Surgery (52 citations), Computer Vision and Pattern Recognition (16 citations) and Radiology, Nuclear Medicine and Imaging (15 citations). Peng Su has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Xiaorong Ding, Yuan‐Ting Zhang, Bryan P. Yan, Ni Zhao, Jing Liu, Mengmeng Lu, Yuanyuan Chen, Huixuan Fu, Jingjing Wang and Yuchao Wang. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Ocean Engineering, The Journal of Supercomputing, PubMed and The HKU Scholars Hub (University of Hong Kong).
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.