Xiaomu Song
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition
- Cellular and Molecular Neuroscience
- Signal Processing top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Guoliang FanAlice M. WyrwiczNan‐kuei ChenMahesh RaoLawrence P. PanychMatthew C. MurphyMichael J. MillerCraig Weiss
- Topics
- EEG and Brain-Computer Interfaces (13 papers)Neural dynamics and brain function (10 papers)Functional Brain Connectivity Studies (9 papers)
- Partner nations
- United States
In The Last Decade
Xiaomu Song
32 papers receiving 282 citations
Peers
Comparison fields: 5 of 68
- Cognitive Neuroscience 170
- Computer Vision and Pattern Recognition 58
- Cellular and Molecular Neuroscience 52
- Signal Processing 50
- Radiology, Nuclear Medicine and Imaging 45
Countries citing papers authored by Xiaomu Song
This map shows the geographic impact of Xiaomu 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 Xiaomu Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomu Song more than expected).
Fields of papers citing papers by Xiaomu Song
This network shows the impact of papers produced by Xiaomu 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 Xiaomu Song. The network helps show where Xiaomu Song may publish in the future.
Co-authorship network of co-authors of Xiaomu Song
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomu Song. A scholar is included among the top collaborators of Xiaomu 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 Xiaomu Song. Xiaomu 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 | 22 | |
| 2 | 1 | |
| 3 | 46 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 19 | |
| 8 | 12 | |
| 9 | 4 | |
| 10 | 32 | |
| 11 | 19 | |
| 12 | 21 | |
| 13 | 9 | |
| 14 | 3 | |
| 15 | 13 | |
| 16 | 9 | |
| 17 | 4 | |
| 18 | 4 | |
| 19 | Unsupervised image segmentation using wavelet-domain hidden Markov models | 3 |
| 20 | 1 |
About Xiaomu Song
Xiaomu Song is a scholar working on Cognitive Neuroscience, Media Technology and Signal Processing, having authored 33 papers that have together received 294 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (13 papers), Neural dynamics and brain function (10 papers) and Functional Brain Connectivity Studies (9 papers). The work is most often cited by research in Cognitive Neuroscience (170 citations), Signal Processing (50 citations) and Human-Computer Interaction (23 citations). Xiaomu Song has collaborated with scholars based in United States. Frequent co-authors include Guoliang Fan, Alice M. Wyrwicz, Nan‐kuei Chen, Mahesh Rao, Lawrence P. Panych, Matthew C. Murphy, Michael J. Miller, Guoliang Fan, Craig Weiss and John F. Disterhoft. Their work appears in journals such as Journal of Neuroscience, NeuroImage and IEEE Transactions on Geoscience and Remote Sensing.
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.