Yiu‐Kei Tsang

780 citations
35 papers · 572 · h-index 16

Impact in

Papers in

Yiu‐Kei Tsang

33 papers receiving 566 citations

Peers

Yiu‐Kei Tsang
Comparison fields: 5 of 34
  • Developmental and Educational Psychology 369
  • Cognitive Neuroscience 418
  • Experimental and Cognitive Psychology 225
  • Statistics and Probability 33
  • Artificial Intelligence 104
Replace Hsuan-Chih Chen with:
Hsuan-Chih Chen Hong Kong
Clinton L. Johns United States
Eva Smolka Germany
Jonathan Grainger France
Daniel Zagar France
Ronald W. Noel United States
Samantha F. McCormick United Kingdom
Mandy Ghyselinck Belgium
Florian Hintz Netherlands
Ilse Van Wijnendaele Belgium
Yiu‐Kei Tsang relative to Hsuan-Chih Chen Hong Kong Hsuan-Chih Chen's profile →
Citations per field
00.5×1.5×1.8×
Hsuan-Chih Chen · 1×
Citations per year

Countries citing papers authored by Yiu‐Kei Tsang

Since Specialization
Citations

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

Fields of papers citing papers by Yiu‐Kei Tsang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yiu‐Kei Tsang. 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 Yiu‐Kei Tsang. The network helps show where Yiu‐Kei Tsang may publish in the future.

Co-authors

The 18 scholars most cited alongside Yiu‐Kei Tsang, 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 Yiu‐Kei Tsang Line = papers co-authored together Yiu‐Kei Tsang 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 201778
2 201056
3 201255
4 201235
5 201633
6 201429
7 200829
8 201327
9 201223
10 201022
11 201321
12 201318
13 202018
14 202217
15 201516
16 201915
17 202015
18 201613
19 202210
20 20209

About Yiu‐Kei Tsang

Yiu‐Kei Tsang is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Artificial Intelligence and Education, having authored 35 papers that have together received 572 indexed citations. Recurring topics across this work include Reading and Literacy Development (24 papers), Neurobiology of Language and Bilingualism (23 papers), Second Language Acquisition and Learning (7 papers), Phonetics and Phonology Research (6 papers), Neuroscience and Music Perception (6 papers), Text Readability and Simplification (5 papers), Multisensory perception and integration (3 papers) and Child and Animal Learning Development (3 papers). The work is most often cited by research in Developmental and Educational Psychology (369 citations), Cognitive Neuroscience (418 citations), Experimental and Cognitive Psychology (225 citations), Statistics and Probability (33 citations) and Artificial Intelligence (104 citations). Yiu‐Kei Tsang has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Hsuan-Chih Chen, Hsuan-Chih Chen, Jian Huang, Yun Zou, Shiwei Jia, Ming Lui, Suiping Wang, Simin Zhao, Chun‐Yu Tse and Zude Zhu. Their work appears in journals such as Psychonomic Bulletin & Review, Neuroscience, Language Cognition and Neuroscience, Behavior Research Methods 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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