Xiaotong Li
Impact in
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies
- Cognitive Neuroscience top 10%
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
Papers in
-
- Neural and Behavioral Psychology Studies 4
- Functional Brain Connectivity Studies 4
- Neural dynamics and brain function 2
- Co-authors
- Tianzhen Chen (8 shared papers)Hang Su (7 shared papers)Na Zhong (8 shared papers)Min Zhao (8 shared papers)Haifeng Jiang (4 shared papers)Jiang Du (4 shared papers)Jijun Wang (1 shared paper)Hong‐Seng Gan (1 shared paper)
- Journals
- Frontiers in Psychiatry (2 papers)Journal of Affective Disorders (2 papers)JMIR mhealth and uhealth (1 paper)Journal of Psychiatric Research (1 paper)BMC Psychiatry (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Xiaotong Li
16 papers receiving 313 citations
Peers
Comparison fields: 5 of 65
- Neurology 107
- Cognitive Neuroscience 167
- Experimental and Cognitive Psychology 60
- Applied Psychology 22
- Clinical Psychology 73
Countries citing papers authored by Xiaotong Li
This map shows the geographic impact of Xiaotong 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 Xiaotong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaotong Li more than expected).
Fields of papers citing papers by Xiaotong Li
This network shows the impact of papers produced by Xiaotong 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 Xiaotong Li. The network helps show where Xiaotong Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaotong 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 86 | |
| 2 | 2018 | 36 | |
| 3 | 2020 | 31 | |
| 4 | 2020 | 27 | |
| 5 | 2022 | 27 | |
| 6 | 2020 | 23 | |
| 7 | 2020 | 17 | |
| 8 | 2020 | 17 | |
| 9 | 2016 | 15 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 10 | |
| 12 | 2017 | 10 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Xiaotong Li
Xiaotong Li is a scholar working on Cognitive Neuroscience, General Health Professions, Experimental and Cognitive Psychology, Neurology and Pediatrics, Perinatology and Child Health, having authored 20 papers that have together received 319 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (4 papers), Functional Brain Connectivity Studies (4 papers), Transcranial Magnetic Stimulation Studies (3 papers), Sleep and related disorders (3 papers), Neural dynamics and brain function (2 papers), Posttraumatic Stress Disorder Research (2 papers), Pediatric Pain Management Techniques (2 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Neurology (107 citations), Cognitive Neuroscience (167 citations), Experimental and Cognitive Psychology (60 citations), Applied Psychology (22 citations) and Clinical Psychology (73 citations). Xiaotong Li has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Tianzhen Chen, Hang Su, Na Zhong, Min Zhao, Haifeng Jiang, Jiang Du, Haifeng Jiang, Jijun Wang, Hong‐Seng Gan and Ding Xu. Their work appears in journals such as Frontiers in Psychiatry, Journal of Affective Disorders, JMIR mhealth and uhealth, Journal of Psychiatric Research and BMC Psychiatry.
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.