Xi Long
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces 45
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- Neuroscience of respiration and sleep 19
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- Heart Rate Variability and Autonomic Control 26
- ECG Monitoring and Analysis 26
- Biomedical Engineering top 2%
- Non-Invasive Vital Sign Monitoring 65
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- Obstructive Sleep Apnea Research 17
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- Neonatal and fetal brain pathology 14
- Infant Development and Preterm Care 11
- Co-authors
- Ronald M. AartsPedro FonsecaReinder HaakmaJérôme FoussierMustafa RadhaBin YinPeter AndriessenP. Anderer
- Cited by
- Cognitive NeuroscienceEndocrine and Autonomic SystemsCardiology and Cardiovascular Medicine
- Journals
- Biomedical Signal Processing and Control (10 papers)Physiological Measurement (9 papers)IEEE Journal of Biomedical and Health Informatics (6 papers)
- Partner nations
- NetherlandsChinaGermany
In The Last Decade
Xi Long
137 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 144
- Cognitive Neuroscience 920
- Endocrine and Autonomic Systems 196
- Cardiology and Cardiovascular Medicine 599
- Experimental and Cognitive Psychology 326
- Biomedical Engineering 1.1k
Countries citing papers authored by Xi Long
This map shows the geographic impact of Xi Long'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 Xi Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Long more than expected).
Fields of papers citing papers by Xi Long
This network shows the impact of papers produced by Xi Long. 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 Xi Long. The network helps show where Xi Long may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xi Long, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 6 | |
| 12 | 2022 | 18 | |
| 13 | 2021 | 0 | |
| 14 | 2021 | 38 | |
| 15 | 2020 | 186 | |
| 16 | 2020 | 52 | |
| 17 | 2020 | 15 | |
| 18 | 2019 | 13 | |
| 19 | 2019 | 2 | |
| 20 | Combining HRV features for automatic arousal detection | 2013 | 3 |
About Xi Long
Xi Long is a scholar working on Endocrine and Autonomic Systems, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 152 papers that have together received 2.6k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (65 papers), EEG and Brain-Computer Interfaces (45 papers), Heart Rate Variability and Autonomic Control (26 papers), ECG Monitoring and Analysis (26 papers), Neuroscience of respiration and sleep (19 papers), Obstructive Sleep Apnea Research (17 papers), Neonatal and fetal brain pathology (14 papers) and Infant Development and Preterm Care (11 papers). The work is most often cited by research in Cognitive Neuroscience (920 citations), Endocrine and Autonomic Systems (196 citations) and Cardiology and Cardiovascular Medicine (599 citations). Xi Long has collaborated with scholars based in Netherlands, China and Germany. Frequent co-authors include Ronald M. Aarts, Pedro Fonseca, Reinder Haakma, Jérôme Foussier, Mustafa Radha, Bin Yin, Peter Andriessen, P. Anderer, Andreas Cerny and Marco Ross. Their work appears in journals such as Biomedical Signal Processing and Control, Physiological Measurement, IEEE Journal of Biomedical and Health Informatics, Sensors 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.