Winnie Cheng

3.2k citations
58 papers · 1.5k · h-index 20

Impact in

Papers in

Winnie Cheng

55 papers receiving 1.3k citations

Peers

Winnie Cheng
Comparison fields: 5 of 100
  • Language and Linguistics 651
  • Literature and Literary Theory 439
  • Linguistics and Language 146
  • Developmental and Educational Psychology 311
  • Communication 122
Replace Christine B. Feak with:
Christine B. Feak United States
Tony Dudley-Evans United Kingdom
Ann M. Johns United States
Ling Shi Canada
Mike Scott United Kingdom
Liz Hamp‐Lyons United Kingdom
Alan Davies United Kingdom
Daniel Cassany Spain
Lynne Bowker Canada
Sharon O’Brien Ireland
Winnie Cheng relative to Christine B. Feak United States Christine B. Feak's profile →
Citations per field
00.5×2.9×
Christine B. Feak · 1×
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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997164
2 2005154
3 2006145
4 2000136
5 199986
6 201462
7 200359
8 200856
9 201343
10 201236
11 201131
12 200728
13 200328
14 201228
15 201128
16 201627
17 201425
18 200123
19 200923
20 200820

About Winnie Cheng

Winnie Cheng is a scholar working on Language and Linguistics, Literature and Literary Theory, Artificial Intelligence, Linguistics and Language and Developmental and Educational Psychology, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Language, Discourse, Communication Strategies (22 papers), Discourse Analysis in Language Studies (17 papers), Natural Language Processing Techniques (9 papers), Multilingual Education and Policy (9 papers), Second Language Acquisition and Learning (8 papers), EFL/ESL Teaching and Learning (7 papers), Language, Metaphor, and Cognition (6 papers) and Law in Society and Culture (5 papers). The work is most often cited by research in Language and Linguistics (651 citations), Literature and Literary Theory (439 citations), Linguistics and Language (146 citations), Developmental and Educational Psychology (311 citations) and Communication (122 citations). Winnie Cheng has collaborated with scholars based in Hong Kong, China and Japan. Frequent co-authors include Martin Warren, Chris Greaves, Le Cheng, Phoenix Lam, Le Cheng, Kenneth Kong, John McH. Sinclair, Esmond Mok, Amy Β. M. Tsui and Gunther Kaltenböck. Their work appears in journals such as Semiotica, English for Specific Purposes, International Journal of Corpus Linguistics, Applied 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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