Yan Gu

595 citations
32 papers · 327 · h-index 12

Impact in

Papers in

Yan Gu

31 papers receiving 321 citations

Peers

Yan Gu
Comparison fields: 5 of 76
  • Experimental and Cognitive Psychology 161
  • Cognitive Neuroscience 113
  • Applied Psychology 28
  • General Decision Sciences 8
  • Behavioral Neuroscience 15
Replace Levi Kumle with:
Levi Kumle United Kingdom
Jessie Martin United States
Evan W. Carr United States
Bart Aben Belgium
Rahel Rabi Canada
Tanja S. H. Wingenbach United Kingdom
Todd A. Kahan United States
Michał Olszanowski Poland
William L. Libby United States
Kyle T. Gagnon United States
Yan Gu relative to Levi Kumle United Kingdom Levi Kumle's profile →
Citations per field
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Levi Kumle · 1×
Citations per year

Countries citing papers authored by Yan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201941
2 201535
3 202024
4 202024
5 202024
6 201722
7 202020
8 202115
9 202014
10 201713
11 201813
12 202012
13 20169
14 20088
15 20198
16 20246
17 20226
18 20225
19 20224
20 20174

About Yan Gu

Yan Gu is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Developmental and Educational Psychology, Social Psychology and Cardiology and Cardiovascular Medicine, having authored 32 papers that have together received 327 indexed citations. Recurring topics across this work include Language, Metaphor, and Cognition (9 papers), Neural and Behavioral Psychology Studies (9 papers), Categorization, perception, and language (8 papers), Hearing Impairment and Communication (7 papers), Phonetics and Phonology Research (4 papers), Neural dynamics and brain function (4 papers), Language Development and Disorders (3 papers) and Mental Health Research Topics (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (161 citations), Cognitive Neuroscience (113 citations), Applied Psychology (28 citations), General Decision Sciences (8 citations) and Behavioral Neuroscience (15 citations). Yan Gu has collaborated with scholars based in China, United Kingdom and Netherlands. Frequent co-authors include Marc Swerts, Antao Chen, Xuemeng Zhang, Quanshan Long, Shouhang Yin, Lisette Mol, Qian Yang, Qing Li, Congcong Liu and Hong Chen. Their work appears in journals such as Cognitive Science, Scientific Reports, Psychophysiology, Language and Cognition and Developmental Science.

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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