May Fan

833 citations
8 papers · 498 · h-index 7

Impact in

Papers in

Journals
System (2 papers)RELC Journal (1 paper)Modern Language Journal (1 paper)PolyU Institutional Research Archive (Hong Kong Polytechnic University) (3 papers)
Partner nations
Hong Kong

In The Last Decade

May Fan

8 papers receiving 380 citations

Peers

May Fan
Comparison fields: 5 of 28
  • Language and Linguistics 390
  • Developmental and Educational Psychology 419
  • Literature and Literary Theory 176
  • Linguistics and Language 20
  • Artificial Intelligence 110
Replace María del Pilar Agustín Llach with:
María del Pilar Agustín Llach Spain
Anna Ching-Shyang Chang Taiwan
Karina Vidal Spain
Diana Pulido United States
Kirsten Haastrup Denmark
Kate Wolfe-Quintero United States
María J. de la Fuente United States
Beniko Mason United States
Hilde van Zeeland United Kingdom
Pat Byrd United States
May Fan relative to María del Pilar Agustín Llach Spain María del Pilar Agustín Llach's profile →
Citations per field
00.5×1.5×1.8×
María del Pilar Agustín Llach · 1×
Citations per year

Countries citing papers authored by May Fan

Since Specialization
Citations

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

Fields of papers citing papers by May Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2003234
2 200078
3 200977
4
A review of vocabulary learning strategies : focus on language proficiency and learner voice
200758
5
The Dictionary Look-up Behavior of Hong Kong Students: A Large-Scale Survey.
200022
6 200215
7
An Investigation into the Beliefs and Strategies of Hong Kong Students in the Learning of English.
19998
8
An investigation into the vocabulary needs of university students in Hong Kong
20016

About May Fan

May Fan is a scholar working on Language and Linguistics, Developmental and Educational Psychology, Literature and Literary Theory, Communication and Artificial Intelligence, having authored 8 papers that have together received 498 indexed citations. Recurring topics across this work include Second Language Acquisition and Learning (6 papers), EFL/ESL Teaching and Learning (5 papers), Lexicography and Language Studies (2 papers), Second Language Learning and Teaching (2 papers), Discourse Analysis in Language Studies (1 paper), Natural Language Processing Techniques (1 paper), Swearing, Euphemism, Multilingualism (1 paper) and Translation Studies and Practices (1 paper). The work is most often cited by research in Language and Linguistics (390 citations), Developmental and Educational Psychology (419 citations), Literature and Literary Theory (176 citations), Linguistics and Language (20 citations) and Artificial Intelligence (110 citations). May Fan has collaborated with scholars based in Hong Kong. Frequent co-authors include Martha Nyikos. Their work appears in journals such as System, RELC Journal, Modern Language Journal and PolyU Institutional Research Archive (Hong Kong Polytechnic University).

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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