Ran Xiao
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
Papers in
-
- EEG and Brain-Computer Interfaces 12
- Neural dynamics and brain function 6
- Co-authors
- Lei Ding (6 shared papers)Ke Liao (2 shared papers)Xiao Hu (15 shared papers)Cheng Ding (8 shared papers)Beth A. Smith (3 shared papers)Douglas Vanderbilt (2 shared papers)Karl Meisel (3 shared papers)Tânia Pereira (3 shared papers)
- Journals
- PLoS ONE (4 papers)IEEE Journal of Biomedical and Health Informatics (3 papers)Physiological Measurement (3 papers)Scientific Reports (2 papers)IEEE Access (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ran Xiao
79 papers receiving 837 citations
Peers
Comparison fields: 5 of 132
- Cognitive Neuroscience 322
- Human-Computer Interaction 54
- Health Informatics 12
- Cellular and Molecular Neuroscience 146
- Cardiology and Cardiovascular Medicine 166
Countries citing papers authored by Ran Xiao
This map shows the geographic impact of Ran Xiao'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 Ran Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Xiao more than expected).
Fields of papers citing papers by Ran Xiao
This network shows the impact of papers produced by Ran Xiao. 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 Ran Xiao. The network helps show where Ran Xiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran Xiao, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 136 | |
| 2 | 2019 | 60 | |
| 3 | 2018 | 40 | |
| 4 | 2015 | 31 | |
| 5 | 2013 | 29 | |
| 6 | A Deep Learning Approach to Examine Ischemic ST Changes in Ambulatory ECG Recordings. | 2018 | 27 |
| 7 | 2022 | 25 | |
| 8 | 2022 | 24 | |
| 9 | 2024 | 21 | |
| 10 | 2018 | 20 | |
| 11 | 2016 | 19 | |
| 12 | 2021 | 19 | |
| 13 | 2015 | 19 | |
| 14 | 2022 | 17 | |
| 15 | 2018 | 17 | |
| 16 | 2015 | 15 | |
| 17 | 2016 | 15 | |
| 18 | 2015 | 15 | |
| 19 | 2023 | 14 | |
| 20 | 2023 | 14 |
About Ran Xiao
Ran Xiao is a scholar working on Cognitive Neuroscience, Molecular Biology, Cardiology and Cardiovascular Medicine, Biomedical Engineering and Surgery, having authored 84 papers that have together received 855 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Non-Invasive Vital Sign Monitoring (10 papers), ECG Monitoring and Analysis (10 papers), Neuroscience and Neural Engineering (8 papers), Healthcare Technology and Patient Monitoring (7 papers), Neural dynamics and brain function (6 papers), Heart Rate Variability and Autonomic Control (5 papers) and Neonatal and fetal brain pathology (4 papers). The work is most often cited by research in Cognitive Neuroscience (322 citations), Human-Computer Interaction (54 citations), Health Informatics (12 citations), Cellular and Molecular Neuroscience (146 citations) and Cardiology and Cardiovascular Medicine (166 citations). Ran Xiao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lei Ding, Ke Liao, Xiao Hu, Cheng Ding, Beth A. Smith, Douglas Vanderbilt, Karl Meisel, Tânia Pereira, Jijun Tong and Michele M. Pelter. Their work appears in journals such as PLoS ONE, IEEE Journal of Biomedical and Health Informatics, Physiological Measurement, Scientific Reports and IEEE Access.
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.