Siwei Bai

1.3k citations
42 papers · 929 · h-index 16

Impact in

  • Neurology top 2%
    • Transcranial Magnetic Stimulation Studies
    • Neural and Behavioral Psychology Studies
    • Hearing Loss and Rehabilitation

Papers in

    • Functional Brain Connectivity Studies 5
    • Hearing Loss and Rehabilitation 5
    • Transcranial Magnetic Stimulation Studies 11

Siwei Bai

41 papers receiving 924 citations

Peers

Siwei Bai
Comparison fields: 5 of 89
  • Neurology 431
  • Cognitive Neuroscience 327
  • Psychiatry and Mental health 159
  • Sensory Systems 45
  • Cellular and Molecular Neuroscience 108
Replace Manuela Ruzzoli with:
Manuela Ruzzoli Spain
Takenobu Murakami Japan
Francisco Vega‐Bermudez United States
Alexander D. Tang Australia
Zsolt Turi Germany
Shugo Suwazono Japan
Leo Tomasevic Denmark
E. Halliday United Kingdom
Virginia Conde Germany
Behnam Molaee-Ardekani France
Siwei Bai relative to Manuela Ruzzoli Spain Manuela Ruzzoli's profile →
Citations per field
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Manuela Ruzzoli · 1×
Citations per year

Countries citing papers authored by Siwei Bai

Since Specialization
Citations

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

Fields of papers citing papers by Siwei Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Siwei Bai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Siwei Bai Line = papers co-authored together Siwei Bai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015127
2 2013123
3 2015121
4 201870
5 201149
6 201948
7 202039
8 201933
9 201431
10 201430
11 201426
12 201323
13 201720
14 201519
15 201918
16 201116
17 201213
18 201412
19 202111
20 202210

About Siwei Bai

Siwei Bai is a scholar working on Cognitive Neuroscience, Neurology, Psychiatry and Mental health, Biomedical Engineering and Sensory Systems, having authored 42 papers that have together received 929 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (11 papers), Electroconvulsive Therapy Studies (11 papers), Microfluidic and Bio-sensing Technologies (5 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers), Functional Brain Connectivity Studies (5 papers), Hearing Loss and Rehabilitation (5 papers), Neuroscience and Neural Engineering (4 papers) and Microfluidic and Capillary Electrophoresis Applications (4 papers). The work is most often cited by research in Neurology (431 citations), Cognitive Neuroscience (327 citations), Psychiatry and Mental health (159 citations), Sensory Systems (45 citations) and Cellular and Molecular Neuroscience (108 citations). Siwei Bai has collaborated with scholars based in Australia, Germany and China. Frequent co-authors include Socrates Dokos, Colleen Loo, Kerrie-Anne Ho, Donel Martin, Stevan Nikolin, Huaying Chen, Angelo Alonzo, Yonggang Zhu, Chang Chen and Verònica Gálvez. Their work appears in journals such as Frontiers in Neuroscience, Brain stimulation, Journal of Ect, European Psychiatry 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.

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