Tan Bee Tin

492 citations
26 papers · 272 · h-index 10

Impact in

Papers in

Tan Bee Tin

26 papers receiving 234 citations

Peers

Tan Bee Tin
Comparison fields: 5 of 41
  • Language and Linguistics 102
  • Literature and Literary Theory 75
  • Experimental and Cognitive Psychology 83
  • Developmental and Educational Psychology 70
  • Education 120
Replace Justin Nicholes with:
Justin Nicholes United States
Almudena Fernández Fontecha Spain
Mohammad Ali Heidari‐Shahreza Iran
Bahman Gorjian Iran
Andrew Lambirth United Kingdom
İsmail Hakkı Erten Türkiye
Sonya L. Armstrong United States
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Tan Bee Tin relative to Justin Nicholes United States Justin Nicholes's profile →
Citations per field
00.5×2.6×
Justin Nicholes · 1×
Citations per year

Countries citing papers authored by Tan Bee Tin

Since Specialization
Citations

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

Fields of papers citing papers by Tan Bee Tin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tan Bee Tin. 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 Tan Bee Tin. The network helps show where Tan Bee Tin may publish in the future.

Co-authors

The 1 scholars most cited alongside Tan Bee Tin, 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 Tan Bee Tin Line = papers co-authored together Tan Bee Tin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201034
2 201333
3 200327
4 201326
5 201314
6 201114
7 200913
8 200613
9 201312
10 20069
11 20169
12 20228
13 20087
14 20097
15 20166
16 20036
17 20156
18 20125
19
Exploring the expectations and perceptions of non-native English speaking students in masters level TESOL programs
20134
20 20244

About Tan Bee Tin

Tan Bee Tin is a scholar working on Language and Linguistics, Literature and Literary Theory, Experimental and Cognitive Psychology, Education and Developmental and Educational Psychology, having authored 26 papers that have together received 272 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (15 papers), Second Language Learning and Teaching (9 papers), Creativity in Education and Neuroscience (9 papers), Discourse Analysis in Language Studies (5 papers), Language, Metaphor, and Cognition (4 papers), Language, Discourse, Communication Strategies (3 papers), Multilingual Education and Policy (3 papers) and Innovative Teaching and Learning Methods (3 papers). The work is most often cited by research in Language and Linguistics (102 citations), Literature and Literary Theory (75 citations), Experimental and Cognitive Psychology (83 citations), Developmental and Educational Psychology (70 citations) and Education (120 citations). Tan Bee Tin has collaborated with scholars based in New Zealand, Vietnam and Indonesia. Frequent co-authors include Ajmal Khan. Their work appears in journals such as System, ELT Journal, Language and Education, Language Teaching Research and RELC Journal.

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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