Weiguo Song

671 citations
25 papers · 390 indexed · h-index 13
Topics
Neuroscience and Neural Engineering (9 papers)EEG and Brain-Computer Interfaces (9 papers)Neural dynamics and brain function (8 papers)
Journals
Nature CommunicationsJournal of NeuroscienceSHILAP Revista de lepidopterología

In The Last Decade

Weiguo Song

25 papers receiving 387 citations

Peers

Weiguo Song
Comparison fields: 5 of 71
  • Cognitive Neuroscience 147
  • Neurology 144
  • Cellular and Molecular Neuroscience 127
  • Biomedical Engineering 102
  • Pathology and Forensic Medicine 94
Replace Edyta K. Bichler with:
Edyta K. Bichler United States
Kerstin Schwenker Austria
Jeremy Andrew Bamford Canada
Louise Trevillion Australia
Rani Shiao United States
Ye-Chen Lu China
Jinuk Kim South Korea
Maureen Hoirch Canada
Masaomi Shindo Japan
Han Qin China
Weiguo Song relative to Edyta K. Bichler United States Edyta K. Bichler's profile →
Citations per field
00.5×3.9×
Edyta K. Bichler · 1×
Citations per year

Countries citing papers authored by Weiguo Song

Since Specialization
Citations

This map shows the geographic impact of Weiguo 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 Weiguo Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiguo Song more than expected).

Fields of papers citing papers by Weiguo Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weiguo 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 Weiguo Song. The network helps show where Weiguo Song may publish in the future.

Co-authorship network of co-authors of Weiguo Song

This figure shows the co-authorship network connecting the top 25 collaborators of Weiguo Song. A scholar is included among the top collaborators of Weiguo 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 Weiguo Song. Weiguo Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 9
3 7
4 34
5 12
6 22
7 4
8 11
9 52
10 9
11 3
12 43
13 1
14 14
15 32
16 10
17 30
18 32
19 1
20
A remote controlled multimode micro-stimulator for freely moving animals.
15

About Weiguo Song

Weiguo Song is a scholar working on Neurology, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 390 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (9 papers), EEG and Brain-Computer Interfaces (9 papers) and Neural dynamics and brain function (8 papers). The work is most often cited by research in Neurology (144 citations), Cognitive Neuroscience (147 citations) and Cellular and Molecular Neuroscience (127 citations). Weiguo Song has collaborated with scholars based in United States, China and Australia. Frequent co-authors include John H. Martin, Joseph T. Francis, Simon F. Giszter, Marom Bikson, Dennis Q. Truong, Cliff C. Kerr, William W. Lytton, Arun Ramakrishnan, Mulugeta Semework and Kui Yuan. Their work appears in journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

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.

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