Angel Chan

708 citations
35 papers · 324 · h-index 9

Impact in

Papers in

Angel Chan

31 papers receiving 312 citations

Peers

Angel Chan
Comparison fields: 5 of 43
  • Developmental and Educational Psychology 210
  • Cognitive Neuroscience 153
  • Language and Linguistics 75
  • Linguistics and Language 32
  • Experimental and Cognitive Psychology 81
Replace Jan Volín with:
Jan Volín Czechia
Dicky Gilbers Netherlands
Evelyn P. Altenberg United States
Caterina Petrone France
Wind Cowles United States
Claire Timmins United Kingdom
Tania S. Zamuner Canada
Kelly Bridges United States
Elaine J. Francis United States
Angel Chan relative to Jan Volín Czechia Jan Volín's profile →
Citations per field
00.5×4.7×
Jan Volín · 1×
Citations per year

Countries citing papers authored by Angel Chan

Since Specialization
Citations

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

Fields of papers citing papers by Angel Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200983
2 201738
3 201435
4 201723
5 200919
6 201913
7
Mechanical Turk-based experiment vs laboratory-based experiment: A case study on the comparison of semantic transparency rating data
201512
8 201710
9 201910
10 20207
11 20197
12 20197
13 20207
14 20236
15 20245
16 20105
17 20234
18 20214
19 20204
20 20144

About Angel Chan

Angel Chan is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Experimental and Cognitive Psychology, Artificial Intelligence and Language and Linguistics, having authored 35 papers that have together received 324 indexed citations. Recurring topics across this work include Language Development and Disorders (27 papers), Reading and Literacy Development (16 papers), Neurobiology of Language and Bilingualism (9 papers), Phonetics and Phonology Research (8 papers), Early Childhood Education and Development (4 papers), Autism Spectrum Disorder Research (4 papers), Child and Animal Learning Development (4 papers) and Syntax, Semantics, Linguistic Variation (4 papers). The work is most often cited by research in Developmental and Educational Psychology (210 citations), Cognitive Neuroscience (153 citations), Language and Linguistics (75 citations), Linguistics and Language (32 citations) and Experimental and Cognitive Psychology (81 citations). Angel Chan has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Elena Lieven, Michael Tomasello, Evan Kidd, Franklin Chang, Yao Yao, Isabel Guimarães, Serge Pinto, Chu‐Ren Huang, Jasmin Sadat and Natalia Gagarina. Their work appears in journals such as Frontiers in Psychology, International Journal of Bilingualism, Journal of Speech Language and Hearing Research, Brain and Language and Cognitive Linguistics.

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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