Yiu‐Kei Tsang

744 total citations
33 papers, 543 citations indexed

About

Yiu‐Kei Tsang is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Yiu‐Kei Tsang has authored 33 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 27 papers in Developmental and Educational Psychology and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Yiu‐Kei Tsang's work include Reading and Literacy Development (24 papers), Neurobiology of Language and Bilingualism (23 papers) and Second Language Acquisition and Learning (7 papers). Yiu‐Kei Tsang is often cited by papers focused on Reading and Literacy Development (24 papers), Neurobiology of Language and Bilingualism (23 papers) and Second Language Acquisition and Learning (7 papers). Yiu‐Kei Tsang collaborates with scholars based in Hong Kong, China and United States. Yiu‐Kei Tsang's 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 Ming Yan and has published in prestigious journals such as PLoS ONE, Neuroscience and Neuropsychologia.

In The Last Decade

Yiu‐Kei Tsang

31 papers receiving 538 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yiu‐Kei Tsang Hong Kong 16 399 355 216 95 32 33 543
Eva Smolka Germany 13 422 1.1× 389 1.1× 184 0.9× 95 1.0× 25 0.8× 24 589
Hsuan-Chih Chen Hong Kong 10 283 0.7× 251 0.7× 131 0.6× 68 0.7× 20 0.6× 11 375
Ulrike Domahs Germany 12 319 0.8× 259 0.7× 278 1.3× 45 0.5× 52 1.6× 32 475
Sudaporn Luksaneeyanawin Thailand 11 173 0.4× 312 0.9× 295 1.4× 105 1.1× 19 0.6× 37 516
Jonathan Mirault France 11 251 0.6× 264 0.7× 88 0.4× 73 0.8× 31 1.0× 42 349
Jessica Nelson United States 6 296 0.7× 299 0.8× 73 0.3× 40 0.4× 42 1.3× 8 403
Iris Berent United States 11 330 0.8× 494 1.4× 263 1.2× 65 0.7× 74 2.3× 21 620
Keith S. Apfelbaum United States 12 204 0.5× 262 0.7× 208 1.0× 71 0.7× 26 0.8× 20 413
Gabriela Meade United States 13 314 0.8× 311 0.9× 92 0.4× 30 0.3× 26 0.8× 38 396
Samantha F. McCormick United Kingdom 8 290 0.7× 350 1.0× 127 0.6× 107 1.1× 38 1.2× 13 472

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-authorship network of co-authors of Yiu‐Kei Tsang

This figure shows the co-authorship network connecting the top 25 collaborators of Yiu‐Kei Tsang. A scholar is included among the top collaborators of Yiu‐Kei Tsang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yiu‐Kei Tsang. Yiu‐Kei Tsang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tsang, Yiu‐Kei. (2025). Dictation and vocabulary knowledge tests for adult native Chinese readers. Behavior Research Methods. 57(5). 151–151.
2.
Tsang, Yiu‐Kei, et al.. (2025). Transfer of self-efficacy: ICT self-efficacy and reading self-efficacy mediate the effect of ICT use on reading achievement. Computers & Education. 239. 105446–105446. 1 indexed citations
3.
Tsang, Yiu‐Kei, et al.. (2024). A corpus of Chinese word segmentation agreement. Behavior Research Methods. 57(1). 25–25. 2 indexed citations
4.
Pan, Jinger, Aiping Wang, Mingsha Zhang, Yiu‐Kei Tsang, & Ming Yan. (2024). Printing words in alternating colors facilitates eye movements among young and older Chinese adults. Psychonomic Bulletin & Review. 32(2). 855–865. 3 indexed citations
5.
Tsang, Yiu‐Kei, et al.. (2024). Rethinking orthographic neighbor in Chinese two-character word recognition: Insights from a megastudy. Psychonomic Bulletin & Review. 31(4). 1588–1595.
6.
Yan, Ming, Yiu‐Kei Tsang, & Jinger Pan. (2024). Phonological recovery during Chinese sentence reading: effects of rime and tone. Language Cognition and Neuroscience. 39(4). 501–512. 1 indexed citations
7.
Tsang, Yiu‐Kei, et al.. (2023). Comparing word recognition in simplified and traditional Chinese: A megastudy approach. Quarterly Journal of Experimental Psychology. 77(3). 593–610. 5 indexed citations
8.
Tsang, Yiu‐Kei, et al.. (2023). Tonal and syllabic encoding in overt Cantonese Chinese speech production: An ERP study. PLoS ONE. 18(12). e0295240–e0295240. 1 indexed citations
9.
Zou, Yun, et al.. (2023). Full-form vs. combinatorial processing of Chinese compound words: Evidence from mismatch negativity. International Journal of Psychophysiology. 187. 11–19. 3 indexed citations
10.
Zhao, Simin, et al.. (2021). Morpho-semantic analysis of ambiguous morphemes in Chinese compound word recognition: An fMRI study. Neuropsychologia. 157. 107862–107862. 7 indexed citations
11.
Zou, Yun, Ming Lui, & Yiu‐Kei Tsang. (2020). The roles of lexical tone and rime during Mandarin sentence comprehension: An event-related potential study. Neuropsychologia. 147. 107578–107578. 15 indexed citations
12.
Huang, Jian, et al.. (2020). Morphosemantic activation of opaque Chinese words in sentence comprehension. PLoS ONE. 15(8). e0236697–e0236697. 9 indexed citations
13.
Zhao, Simin, et al.. (2020). Processing Ambiguous Morphemes in Chinese Compound Word Recognition: Behavioral and ERP Evidence. Neuroscience. 446. 249–260. 16 indexed citations
14.
Wang, Jie, et al.. (2019). Behavioural evidence for segments as subordinate units in Chinese spoken word production: The form-preparation paradigm revisited. PLoS ONE. 14(11). e0225718–e0225718. 2 indexed citations
15.
Lui, Ming, Wing‐Chee So, & Yiu‐Kei Tsang. (2018). Neural evidence for reduced automaticity in processing emotional prosody among men with high levels of autistic traits. Physiology & Behavior. 196. 47–58. 3 indexed citations
16.
Tsang, Yiu‐Kei, et al.. (2017). MELD-SCH: A megastudy of lexical decision in simplified Chinese. Behavior Research Methods. 50(5). 1763–1777. 73 indexed citations
17.
Tsang, Yiu‐Kei & Hsuan-Chih Chen. (2013). Morpho-semantic processing in word recognition: Evidence from balanced and biased ambiguous morphemes.. Journal of Experimental Psychology Learning Memory and Cognition. 39(6). 1990–2001. 27 indexed citations
18.
Jia, Shiwei, Yiu‐Kei Tsang, Jian Huang, & Hsuan-Chih Chen. (2013). Right hemisphere advantage in processing Cantonese level and contour tones: Evidence from dichotic listening. Neuroscience Letters. 556. 135–139. 15 indexed citations
19.
Tsang, Yiu‐Kei, et al.. (2012). ERPs reveal sub-lexical processing in Chinese character recognition. Neuroscience Letters. 514(2). 164–168. 34 indexed citations
20.
Tsang, Yiu‐Kei & Hsuan-Chih Chen. (2010). Morphemic ambiguity resolution in Chinese: Activation of the subordinate meaning with a prior dominant-biased context. Psychonomic Bulletin & Review. 17(6). 875–881. 21 indexed citations

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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