Rubing Yan
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Rehabilitation top 10%
- Stroke Rehabilitation and Recovery
Papers in
-
- Functional Brain Connectivity Studies 5
- EEG and Brain-Computer Interfaces 2
- Motor Control and Adaptation 2
-
- Stroke Rehabilitation and Recovery 4
- Co-authors
- Mingguo Qiu (7 shared papers)Jingna Zhang (7 shared papers)Hongliang Liu (6 shared papers)Linqiong Sang (6 shared papers)Pengyue Li (4 shared papers)Jun Yang (4 shared papers)Li Wang (3 shared papers)Ye Zhang (2 shared papers)
- Journals
- Neuroradiology (2 papers)Frontiers in Aging Neuroscience (1 paper)BioMed Research International (1 paper)Ecological Indicators (1 paper)Neuroscience (1 paper)
- Partner nations
- China
In The Last Decade
Rubing Yan
12 papers receiving 325 citations
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 200
- Rehabilitation 70
- Neurology 80
- Radiology, Nuclear Medicine and Imaging 117
- Pathology and Forensic Medicine 30
Countries citing papers authored by Rubing Yan
This map shows the geographic impact of Rubing Yan'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 Rubing Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rubing Yan more than expected).
Fields of papers citing papers by Rubing Yan
This network shows the impact of papers produced by Rubing Yan. 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 Rubing Yan. The network helps show where Rubing Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Rubing Yan, 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 | 2016 | 70 | |
| 2 | 2017 | 65 | |
| 3 | 2016 | 56 | |
| 4 | 2016 | 34 | |
| 5 | 2020 | 27 | |
| 6 | 2019 | 21 | |
| 7 | 2014 | 15 | |
| 8 | 2023 | 13 | |
| 9 | 2017 | 13 | |
| 10 | 2023 | 8 | |
| 11 | 2016 | 2 | |
| 12 | 2023 | 2 |
About Rubing Yan
Rubing Yan is a scholar working on Cognitive Neuroscience, Rehabilitation, Radiology, Nuclear Medicine and Imaging, Neurology and Developmental and Educational Psychology, having authored 12 papers that have together received 326 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Stroke Rehabilitation and Recovery (4 papers), Transcranial Magnetic Stimulation Studies (3 papers), Sport Psychology and Performance (3 papers), EEG and Brain-Computer Interfaces (2 papers), Motor Control and Adaptation (2 papers) and Vestibular and auditory disorders (2 papers). The work is most often cited by research in Cognitive Neuroscience (200 citations), Rehabilitation (70 citations), Neurology (80 citations), Radiology, Nuclear Medicine and Imaging (117 citations) and Pathology and Forensic Medicine (30 citations). Rubing Yan has collaborated with scholars based in China. Frequent co-authors include Mingguo Qiu, Jingna Zhang, Hongliang Liu, Linqiong Sang, Pengyue Li, Jun Yang, Li Wang, Ye Zhang, Li Wang and Jian Wang. Their work appears in journals such as Neuroradiology, Frontiers in Aging Neuroscience, BioMed Research International, Ecological Indicators and Neuroscience.
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.