Yeu‐Ting Liu

434 citations
31 papers · 264 · h-index 11

Impact in

Papers in

Yeu‐Ting Liu

25 papers receiving 254 citations

Peers

Yeu‐Ting Liu
Comparison fields: 5 of 37
  • Language and Linguistics 142
  • Developmental and Educational Psychology 118
  • Literature and Literary Theory 56
  • Experimental and Cognitive Psychology 47
  • Education 86
Replace Bahman Gorjian with:
Bahman Gorjian Iran
Seyyed Ehsan Golparvar Iran
Christina Gitsaki Australia
Ahmed Masrai Saudi Arabia
Jeff Tennant Canada
Rena Helms‐Park Canada
Heike B. Neumann Canada
Laia Canals Spain
Veronica G. Sardegna United States
Ken Spencer United Kingdom
Yeu‐Ting Liu relative to Bahman Gorjian Iran Bahman Gorjian's profile →
Citations per field
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Bahman Gorjian · 1×
Citations per year

Countries citing papers authored by Yeu‐Ting Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yeu‐Ting Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeu‐Ting Liu. 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 Yeu‐Ting Liu. The network helps show where Yeu‐Ting Liu may publish in the future.

Co-authors

The 10 scholars most cited alongside Yeu‐Ting Liu, 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 Yeu‐Ting Liu Line = papers co-authored together Yeu‐Ting Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201741
2 202023
3 202121
4 201919
5 201819
6 201416
7 201813
8 201313
9 202113
10 202112
11 201512
12 20197
13 20147
14 20157
15
Attainability of a Native-like Lexical Processing System in Adult Second Language Acquisition: A Study of Advanced L2 Chinese Learners
20096
16 20216
17 20196
18 20165
19 20195
20 20224

About Yeu‐Ting Liu

Yeu‐Ting Liu is a scholar working on Language and Linguistics, Developmental and Educational Psychology, Literature and Literary Theory, Experimental and Cognitive Psychology and Education, having authored 31 papers that have together received 264 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (14 papers), Second Language Acquisition and Learning (11 papers), Second Language Learning and Teaching (6 papers), Reading and Literacy Development (5 papers), Subtitles and Audiovisual Media (5 papers), Language, Metaphor, and Cognition (4 papers), Library Collection Development and Digital Resources (3 papers) and Phonetics and Phonology Research (3 papers). The work is most often cited by research in Language and Linguistics (142 citations), Developmental and Educational Psychology (118 citations), Literature and Literary Theory (56 citations), Experimental and Cognitive Psychology (47 citations) and Education (86 citations). Yeu‐Ting Liu has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Wen‐Ta Tseng, Yi‐Ru Chen, Ming‐Yueh Hwang, Pei‐Hsin Lin, Jon‐Chao Hong, Yi‐Ling Chen, Hossein Nassaji, Howard Hao-Jan Chen, Si Fan and Idoia Elola. Their work appears in journals such as Language Teaching Research, System, Interactive Learning Environments, The Journal of AsiaTEFL and ReCALL.

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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