Xiaowei Song
- Cognitive Neuroscience top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Experimental and Cognitive Psychology top 2%
- Psychiatry and Mental health top 5%
- Neurology top 5%
- Topics
- Functional Brain Connectivity Studies (8 papers)Neural dynamics and brain function (5 papers)Advanced MRI Techniques and Applications (4 papers)
- Cited by
- Cognitive NeuroscienceRadiology, Nuclear Medicine and ImagingExperimental and Cognitive Psychology
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Xiaowei Song
14 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Cognitive Neuroscience 1.9k
- Radiology, Nuclear Medicine and Imaging 760
- Experimental and Cognitive Psychology 417
- Psychiatry and Mental health 345
- Neurology 152
Countries citing papers authored by Xiaowei Song
This map shows the geographic impact of Xiaowei Song'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 Xiaowei Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Song more than expected).
Fields of papers citing papers by Xiaowei Song
This network shows the impact of papers produced by Xiaowei Song. 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 Xiaowei Song. The network helps show where Xiaowei Song may publish in the future.
Co-authorship network of co-authors of Xiaowei Song
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowei Song. A scholar is included among the top collaborators of Xiaowei Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaowei Song. Xiaowei Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 21 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | RESTplus: an improved toolkit for resting-state functional magnetic resonance imaging data processingbreakdown → | 236 |
| 11 | 1 | |
| 12 | 331 | |
| 13 | REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processingbreakdown → | 1669 |
| 14 | 5 | |
| 15 | 6 |
About Xiaowei Song
Xiaowei Song is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Inorganic Chemistry, having authored 15 papers that have together received 2.3k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (5 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.9k citations), Radiology, Nuclear Medicine and Imaging (760 citations) and Experimental and Cognitive Psychology (417 citations). Xiaowei Song has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Chao‐Gan Yan, Yu‐Feng Zang, Yong He, Xi‐Nian Zuo, Sufang Li, Chaozhe Zhu, Zhang-Ye Dong, Xiangyu Long, Haiyang Sun and Han Zhang. Their work appears in journals such as Angewandte Chemie International Edition, PLoS ONE and NeuroImage.
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.