Winnie Cheng

3.2k citations
77 papers · 1.9k · h-index 22

Impact in

Papers in

Winnie Cheng

71 papers receiving 1.5k citations

Peers

Winnie Cheng
Comparison fields: 5 of 101
  • Language and Linguistics 879
  • Linguistics and Language 262
  • Literature and Literary Theory 566
  • Developmental and Educational Psychology 386
  • Experimental and Cognitive Psychology 280
Replace Jesse Egbert with:
Jesse Egbert United States
Christine B. Feak United States
Tony Dudley-Evans United Kingdom
Deborah Healey Australia
Ann M. Johns United States
Ling Shi Canada
Alan Davies United Kingdom
Liz Hamp‐Lyons Hong Kong
Anna Mauranen Finland
Lynne Bowker Canada
Winnie Cheng relative to Jesse Egbert United States Jesse Egbert's profile →
Citations per field
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Citations per year

Countries citing papers authored by Winnie Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Winnie Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006183
2 1997174
3 2005169
4 2000142
5 199991
6 200887
7 201479
8 200369
9 201351
10 201249
11 200840
12 201039
13 201236
14 201134
15 201133
16 201433
17 200331
18 200729
19 201627
20 201426

About Winnie Cheng

Winnie Cheng is a scholar working on Language and Linguistics, Literature and Literary Theory, Linguistics and Language, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 77 papers that have together received 1.9k indexed citations. Recurring topics across this work include Language, Discourse, Communication Strategies (29 papers), Discourse Analysis in Language Studies (18 papers), Multilingual Education and Policy (12 papers), Second Language Acquisition and Learning (10 papers), Natural Language Processing Techniques (10 papers), Language, Metaphor, and Cognition (10 papers), EFL/ESL Teaching and Learning (8 papers) and linguistics and terminology studies (7 papers). The work is most often cited by research in Language and Linguistics (879 citations), Linguistics and Language (262 citations), Literature and Literary Theory (566 citations), Developmental and Educational Psychology (386 citations) and Experimental and Cognitive Psychology (280 citations). Winnie Cheng has collaborated with scholars based in Hong Kong, China and Sweden. Frequent co-authors include Martin Warren, Chris Greaves, Phoenix Lam, Le Cheng, John McH. Sinclair, Le Cheng, Kenneth Kong, Esmond Mok, Amy Β. M. Tsui and Gunnel Tottie. Their work appears in journals such as Semiotica, English for Specific Purposes, Applied Linguistics, International Journal of Corpus Linguistics and Journal of Pragmatics.

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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