Yan‐Ling Pi
Impact in
- Cognitive Neuroscience top 10%
- Motor Control and Adaptation
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- EEG and Brain-Computer Interfaces
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies
Papers in
-
- Motor Control and Adaptation 6
- Functional Brain Connectivity Studies 4
- Neural and Behavioral Psychology Studies 3
- Neural dynamics and brain function 2
-
- Transcranial Magnetic Stimulation Studies 8
- Co-authors
- Jian Zhang (21 shared papers)Yin Wu (11 shared papers)Zhu Hua (6 shared papers)Xuepei Li (4 shared papers)Xue‐Qiang Wang (3 shared papers)Ru Wang (3 shared papers)Peijie Chen (3 shared papers)Yu Liu (6 shared papers)
In The Last Decade
Yan‐Ling Pi
27 papers receiving 501 citations
Peers
Comparison fields: 5 of 69
- Cognitive Neuroscience 162
- Neurology 65
- Physical Therapy, Sports Therapy and Rehabilitation 29
- Complementary and alternative medicine 50
- Developmental and Educational Psychology 69
Countries citing papers authored by Yan‐Ling Pi
This map shows the geographic impact of Yan‐Ling Pi'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 Yan‐Ling Pi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan‐Ling Pi more than expected).
Fields of papers citing papers by Yan‐Ling Pi
This network shows the impact of papers produced by Yan‐Ling Pi. 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 Yan‐Ling Pi. The network helps show where Yan‐Ling Pi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan‐Ling Pi, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 89 | |
| 2 | 2019 | 45 | |
| 3 | 2019 | 42 | |
| 4 | 2018 | 41 | |
| 5 | 2015 | 38 | |
| 6 | 2019 | 31 | |
| 7 | 2018 | 30 | |
| 8 | 2016 | 29 | |
| 9 | 2015 | 22 | |
| 10 | 2017 | 22 | |
| 11 | 2018 | 21 | |
| 12 | 2021 | 17 | |
| 13 | 2018 | 14 | |
| 14 | 2022 | 13 | |
| 15 | 2018 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2019 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2022 | 5 |
About Yan‐Ling Pi
Yan‐Ling Pi is a scholar working on Cognitive Neuroscience, Neurology, Developmental and Educational Psychology, Complementary and alternative medicine and Social Psychology, having authored 28 papers that have together received 511 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (8 papers), Sport Psychology and Performance (7 papers), Motor Control and Adaptation (6 papers), Functional Brain Connectivity Studies (4 papers), Neural and Behavioral Psychology Studies (3 papers), Acupuncture Treatment Research Studies (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Cognitive Neuroscience (162 citations), Neurology (65 citations), Physical Therapy, Sports Therapy and Rehabilitation (29 citations), Complementary and alternative medicine (50 citations) and Developmental and Educational Psychology (69 citations). Yan‐Ling Pi has collaborated with scholars based in China, Macao and Canada. Frequent co-authors include Jian Zhang, Yin Wu, Zhu Hua, Xuepei Li, Xue‐Qiang Wang, Ru Wang, Peijie Chen, Yu Liu, Fanghui Qiu and Yujie Yang. Their work appears in journals such as PeerJ, Neuroscience, Water, Brain and Behavior and Frontiers in Human 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.