Guoshi Li

683 citations
27 papers · 416 · h-index 11

Impact in

    • Olfactory and Sensory Function Studies
    • Neural dynamics and brain function
    • Memory and Neural Mechanisms
    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces

Papers in

Guoshi Li

25 papers receiving 406 citations

Peers

Guoshi Li
Comparison fields: 5 of 56
  • Sensory Systems 94
  • Cognitive Neuroscience 259
  • Behavioral Neuroscience 39
  • Cellular and Molecular Neuroscience 179
  • Neurology 40
Replace Brian F Sadacca with:
Brian F Sadacca United States
Michael J. Tobia United States
Kelsey Clark United States
Martha N. Havenith Germany
Chunying Jia United States
Kishan Gupta United States
Ryan Place United States
David A. Bulkin United States
Calvin K. Young New Zealand
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Guoshi Li

Since Specialization
Citations

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

Fields of papers citing papers by Guoshi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guoshi Li, 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 Guoshi Li Line = papers co-authored together Guoshi Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200868
2 201961
3 201355
4 201134
5 201728
6 201726
7 201922
8 202118
9 202215
10 201514
11 202313
12 20229
13 20138
14 20257
15 20187
16 20176
17 20235
18 20243
19 20193
20 20183

About Guoshi Li

Guoshi Li is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Sensory Systems, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 27 papers that have together received 416 indexed citations. Recurring topics across this work include Neural dynamics and brain function (12 papers), Functional Brain Connectivity Studies (10 papers), Olfactory and Sensory Function Studies (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Memory and Neural Mechanisms (5 papers), Neurobiology and Insect Physiology Research (4 papers), Advanced Chemical Sensor Technologies (3 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Sensory Systems (94 citations), Cognitive Neuroscience (259 citations), Behavioral Neuroscience (39 citations), Cellular and Molecular Neuroscience (179 citations) and Neurology (40 citations). Guoshi Li has collaborated with scholars based in United States, China and Puerto Rico. Frequent co-authors include Thomas A. Cleland, Satish S. Nair, Gregory J. Quirk, Pew‐Thian Yap, Flavio Frӧhlich, Craig S. Henriquez, Dinggang Shen, Han Zhang, Taiju Amano and Denis Paré. Their work appears in journals such as Journal of Neurophysiology, PLoS Computational Biology, Human Brain Mapping, Frontiers in Human Neuroscience and NeuroImage Clinical.

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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