Chengyuan Wu

3.9k citations
125 papers · 2.2k indexed · h-index 26
Topics
Neurological disorders and treatments (43 papers)Epilepsy research and treatment (31 papers)EEG and Brain-Computer Interfaces (21 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaNature Neuroscience

In The Last Decade

Chengyuan Wu

121 papers receiving 2.1k citations

Peers

Chengyuan Wu
Comparison fields: 5 of 101
  • Neurology 837
  • Psychiatry and Mental health 788
  • Cognitive Neuroscience 781
  • Cellular and Molecular Neuroscience 756
  • Radiology, Nuclear Medicine and Imaging 278
Replace Andrew G. Parrent with:
Andrew G. Parrent Canada
Nobuhiro Mikuni Japan
J. Romstöck Germany
Satoshi Maesawa Japan
Joseph R. Smith United States
Taylor J. Abel United States
Carmen Barba Italy
Christian Raftopoulos Belgium
Giuseppe Casaceli Italy
Richard G. Bittar Australia
Chengyuan Wu relative to Andrew G. Parrent Canada Andrew G. Parrent's profile →
Citations per field
00.5×2.6×
Andrew G. Parrent · 1×
Citations per year

Countries citing papers authored by Chengyuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chengyuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengyuan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chengyuan Wu. A scholar is included among the top collaborators of Chengyuan Wu 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 Chengyuan Wu. Chengyuan Wu 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 2
2 0
3 1
4 7
5 0
6 1
7 1
8 5
9 3
10 9
11 4
12 3
13 16
14 1
15 1
16 11
17 5
18 3
19 10
20 1

About Chengyuan Wu

Chengyuan Wu is a scholar working on Neurology, Anesthesiology and Pain Medicine and Psychiatry and Mental health, having authored 125 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neurological disorders and treatments (43 papers), Epilepsy research and treatment (31 papers) and EEG and Brain-Computer Interfaces (21 papers). The work is most often cited by research in Neurology (837 citations), Psychiatry and Mental health (788 citations) and Cellular and Molecular Neuroscience (756 citations). Chengyuan Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Ashwini Sharan, Michael R. Sperling, Andrew Campbell, James J. Evans, Christopher Skidmore, Yuguang Liu, Caio M. Matias, Joseph I. Tracy, Maromi Nei and Joon Y. Kang. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature 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.

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