Wing-Yee Chow

739 citations
20 papers · 397 · h-index 11

Impact in

Papers in

Wing-Yee Chow

18 papers receiving 390 citations

Peers

Wing-Yee Chow
Comparison fields: 5 of 45
  • Developmental and Educational Psychology 216
  • Cognitive Neuroscience 317
  • Experimental and Cognitive Psychology 117
  • Language and Linguistics 61
  • Social Psychology 47
Replace Yufang Yang with:
Yufang Yang China
Alejandra Marful Spain
Laurel Brehm Netherlands
Aina Casaponsa United Kingdom
C. Christine Camblin United States
Enriqueta Canseco-Gonzalez United States
Einat Shetreet Israel
Kristen M. Tooley United States
Joel T. Koeth United States
Stefanie Regel Germany
Wing-Yee Chow relative to Yufang Yang China Yufang Yang's profile →
Citations per field
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Yufang Yang · 1×
Citations per year

Countries citing papers authored by Wing-Yee Chow

Since Specialization
Citations

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

Fields of papers citing papers by Wing-Yee Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wing-Yee Chow. 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 Wing-Yee Chow. The network helps show where Wing-Yee Chow may publish in the future.

Co-authors

The 22 scholars most cited alongside Wing-Yee Chow, 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 Wing-Yee Chow Line = papers co-authored together Wing-Yee Chow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201562
2 201356
3 201454
4 201549
5 201837
6 201424
7 201619
8 202014
9 201713
10 201913
11 201410
12 20189
13 20219
14 20169
15 20217
16 20226
17 20175
18
‘Nonetheless’ can reverse predictions immediately: Evidence from ERPs
20191
19 20240
20 20240

About Wing-Yee Chow

Wing-Yee Chow is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Artificial Intelligence and Language and Linguistics, having authored 20 papers that have together received 397 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (15 papers), Reading and Literacy Development (6 papers), Second Language Acquisition and Learning (4 papers), Neural and Behavioral Psychology Studies (4 papers), Language, Metaphor, and Cognition (4 papers), Natural Language Processing Techniques (3 papers), Topic Modeling (2 papers) and Language Development and Disorders (2 papers). The work is most often cited by research in Developmental and Educational Psychology (216 citations), Cognitive Neuroscience (317 citations), Experimental and Cognitive Psychology (117 citations), Language and Linguistics (61 citations) and Social Psychology (47 citations). Wing-Yee Chow has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Colin Phillips, Ellen Lau, Richard Breheny, Iroise Dumontheil, Suiping Wang, Brian Dillon, Di Chen, Taomei Guo, Matthew Wagers and Fengqin Liu. Their work appears in journals such as Language Cognition and Neuroscience, Frontiers in Psychology, Journal of Memory and Language, Journal of Experimental Child Psychology and Journal of Experimental Psychology Learning Memory and Cognition.

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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