Keyong Li
Impact in
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- Neuroscience of respiration and sleep
- Behavioral Neuroscience top 10%
Papers in
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- Neuroscience of respiration and sleep 12
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- Neuroscience and Neuropharmacology Research 6
- Co-authors
- Ioannis Ch. Paschalidis (12 shared papers)Sándor Vajda (3 shared papers)Dima Kozakov (3 shared papers)David R. Hall (2 shared papers)Dmitri Beglov (2 shared papers)Shuxing Yang (2 shared papers)Pirooz Vakili (2 shared papers)Liangyu Zhao (2 shared papers)
- Journals
- Journal of Guidance Control and Dynamics (2 papers)BMC Anesthesiology (2 papers)The Journal of Physiology (2 papers)Acta Oto-Laryngologica (2 papers)eLife (2 papers)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Keyong Li
66 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 152
- Endocrine and Autonomic Systems 249
- Behavioral Neuroscience 38
- Cellular and Molecular Neuroscience 169
- Biological Psychiatry 20
- Cognitive Neuroscience 151
Countries citing papers authored by Keyong Li
This map shows the geographic impact of Keyong Li'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 Keyong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keyong Li more than expected).
Fields of papers citing papers by Keyong Li
This network shows the impact of papers produced by Keyong Li. 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 Keyong Li. The network helps show where Keyong Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Keyong Li, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 201 | |
| 2 | 2015 | 180 | |
| 3 | 2018 | 87 | |
| 4 | 2016 | 58 | |
| 5 | 2008 | 49 | |
| 6 | 2009 | 49 | |
| 7 | 2014 | 48 | |
| 8 | 2019 | 46 | |
| 9 | 2012 | 42 | |
| 10 | 2007 | 37 | |
| 11 | 2020 | 35 | |
| 12 | 2011 | 33 | |
| 13 | 2017 | 31 | |
| 14 | 2011 | 28 | |
| 15 | 2014 | 27 | |
| 16 | 2013 | 27 | |
| 17 | 2011 | 27 | |
| 18 | 2021 | 25 | |
| 19 | 2020 | 20 | |
| 20 | 2012 | 18 |
About Keyong Li
Keyong Li is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Biomedical Engineering, Computer Networks and Communications and Molecular Biology, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (12 papers), Neuroscience and Neuropharmacology Research (6 papers), Energy Efficient Wireless Sensor Networks (6 papers), Sleep and Wakefulness Research (6 papers), Ear Surgery and Otitis Media (5 papers), Heart Rate Variability and Autonomic Control (5 papers), Neuroendocrine regulation and behavior (5 papers) and Soft Robotics and Applications (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (249 citations), Behavioral Neuroscience (38 citations), Cellular and Molecular Neuroscience (169 citations), Biological Psychiatry (20 citations) and Cognitive Neuroscience (151 citations). Keyong Li has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Ioannis Ch. Paschalidis, Sándor Vajda, Dima Kozakov, David R. Hall, Dmitri Beglov, Shuxing Yang, Pirooz Vakili, Liangyu Zhao, Chunyi Zhou and Le Xie. Their work appears in journals such as Journal of Guidance Control and Dynamics, BMC Anesthesiology, The Journal of Physiology, Acta Oto-Laryngologica and eLife.
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.