Xi Yu

714 citations
25 papers · 408 · h-index 12

Impact in

Papers in

Xi Yu

24 papers receiving 406 citations

Peers

Xi Yu
Comparison fields: 5 of 50
  • Developmental and Educational Psychology 267
  • Cognitive Neuroscience 253
  • Statistics and Probability 94
  • Computational Mathematics 2
  • Experimental and Cognitive Psychology 33
Replace Abigail Cyr with:
Abigail Cyr United States
David M. Gómez Chile
Leanne Stanley United States
Margaret M. Gullick United States
Harald Beneventi Norway
Sara Mazzotti Italy
Janosch Linkersdörfer Germany
Xiaoxia Feng China
Jennifer Minas United States
Myriam Oliver Spain
Xi Yu relative to Abigail Cyr United States Abigail Cyr's profile →
Citations per field
00.5×2.7×
Abigail Cyr · 1×
Citations per year

Countries citing papers authored by Xi Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xi Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201845
2 202041
3 201639
4 201833
5 201130
6 201823
7 201923
8 202022
9 202121
10 202218
11 202118
12 201214
13 202211
14 202211
15 201011
16 201311
17 201610
18 20227
19 20226
20 20224

About Xi Yu

Xi Yu is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Statistics and Probability, Social Psychology and Pediatrics, Perinatology and Child Health, having authored 25 papers that have together received 408 indexed citations. Recurring topics across this work include Reading and Literacy Development (18 papers), Neurobiology of Language and Bilingualism (9 papers), Cognitive and developmental aspects of mathematical skills (6 papers), Language Development and Disorders (5 papers), Functional Brain Connectivity Studies (4 papers), Action Observation and Synchronization (3 papers), Neuroscience and Music Perception (3 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Developmental and Educational Psychology (267 citations), Cognitive Neuroscience (253 citations), Statistics and Probability (94 citations), Computational Mathematics (2 citations) and Experimental and Cognitive Psychology (33 citations). Xi Yu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Nadine Gaab, Jennifer Zuk, Ola Ozernov‐Palchik, Yingying Wang, Yanchao Bi, Sam‐Po Law, Zaizhu Han, Ted K. Turesky, Bryce L. C. Becker and Nora Maria Raschle. Their work appears in journals such as Developmental Cognitive Neuroscience, Developmental Science, Human Brain Mapping, NeuroImage and PLoS ONE.

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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