Fen Miao
Impact in
-
- ECG Monitoring and Analysis
- Heart Rate Variability and Autonomic Control
- Cardiovascular Health and Disease Prevention
- Biomedical Engineering top 5%
- Non-Invasive Vital Sign Monitoring
- Wireless Body Area Networks
Papers in
-
- Heart Rate Variability and Autonomic Control 16
- ECG Monitoring and Analysis 11
- Blood Pressure and Hypertension Studies 5
- Heart Failure Treatment and Management 4
-
- Non-Invasive Vital Sign Monitoring 20
- Wireless Body Area Networks 5
- Co-authors
- Ye Li (31 shared papers)Yuan‐Ting Zhang (9 shared papers)Zeng-Ding Liu (13 shared papers)Yunpeng Cai (5 shared papers)Xiaomao Fan (3 shared papers)Jikui Liu (8 shared papers)Bo Wen (5 shared papers)Qingyun He (2 shared papers)
- Journals
- IEEE Journal of Biomedical and Health Informatics (7 papers)IEEE Sensors Journal (2 papers)Sensors (2 papers)Artificial Intelligence in Medicine (1 paper)Frontiers in Physiology (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Fen Miao
38 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 106
- Cardiology and Cardiovascular Medicine 834
- Biomedical Engineering 867
- Health Information Management 80
- Cognitive Neuroscience 195
- Surgery 305
Countries citing papers authored by Fen Miao
This map shows the geographic impact of Fen Miao'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 Fen Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fen Miao more than expected).
Fields of papers citing papers by Fen Miao
This network shows the impact of papers produced by Fen Miao. 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 Fen Miao. The network helps show where Fen Miao may publish in the future.
Co-authors
The 25 scholars most cited alongside Fen Miao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 248 | |
| 2 | 2016 | 138 | |
| 3 | 2017 | 129 | |
| 4 | 2015 | 112 | |
| 5 | 2019 | 109 | |
| 6 | 2020 | 101 | |
| 7 | 2018 | 54 | |
| 8 | 2018 | 53 | |
| 9 | 2015 | 44 | |
| 10 | 2009 | 40 | |
| 11 | 2023 | 38 | |
| 12 | 2018 | 36 | |
| 13 | 2021 | 28 | |
| 14 | 2013 | 27 | |
| 15 | 2020 | 26 | |
| 16 | 2015 | 25 | |
| 17 | 2020 | 24 | |
| 18 | 2022 | 21 | |
| 19 | 2024 | 21 | |
| 20 | 2010 | 21 |
About Fen Miao
Fen Miao is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Surgery, Cognitive Neuroscience and Signal Processing, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (20 papers), Heart Rate Variability and Autonomic Control (16 papers), ECG Monitoring and Analysis (11 papers), Hemodynamic Monitoring and Therapy (7 papers), Blood Pressure and Hypertension Studies (5 papers), Wireless Body Area Networks (5 papers), Heart Failure Treatment and Management (4 papers) and Biometric Identification and Security (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (834 citations), Biomedical Engineering (867 citations), Health Information Management (80 citations), Cognitive Neuroscience (195 citations) and Surgery (305 citations). Fen Miao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ye Li, Yuan‐Ting Zhang, Zeng-Ding Liu, Yunpeng Cai, Xiaomao Fan, Jikui Liu, Bo Wen, Qingyun He, Fangmin Sun and Qihang Yao. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, IEEE Sensors Journal, Sensors, Artificial Intelligence in Medicine and Frontiers in Physiology.
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.