Ngar-Fun Liu

1.4k citations
5 papers · 975 · 1 hit paper · h-index 3

Impact in

  • Education top 1%
    • Student Assessment and Feedback
    • Reflective Practices in Education
    • Evaluation of Teaching Practices
    • Higher Education Learning Practices
    • Higher Education Practises and Engagement
    • EFL/ESL Teaching and Learning

Papers in

Ngar-Fun Liu

5 papers receiving 835 citations

Ngar-Fun Liu's Hit Papers

Peer feedback: the learning element of peer assessment 2006 · 713 citations
7130+6+13Years since publication200400600

Peers

Ngar-Fun Liu
Comparison fields: 5 of 68
  • Education 706
  • Language and Linguistics 207
  • Developmental and Educational Psychology 206
  • Literature and Literary Theory 159
  • Computer Science Applications 68
Replace Anne J. Herrington with:
Anne J. Herrington United States
Paul Gruba Australia
Deoksoon Kim United States
Kevin M. Wong United States
Janna Fox Canada
Uschi Felix Australia
Anita Habók Hungary
Toby Fulwiler United States
Salah Troudi United Kingdom
Anthony R. Petrosky United States
Ngar-Fun Liu relative to Anne J. Herrington United States Anne J. Herrington's profile →
Citations per field
00.5×5.6×
Anne J. Herrington · 1×
Citations per year

Countries citing papers authored by Ngar-Fun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ngar-Fun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ngar-Fun 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 Ngar-Fun Liu. The network helps show where Ngar-Fun Liu may publish in the future.

Co-authors

The 2 scholars most cited alongside Ngar-Fun 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 Ngar-Fun Liu Line = papers co-authored together Ngar-Fun Liu links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Peer feedback: the learning element of peer assessment
Hit paper breakdown →
2006713
2 1997216
3 199644
4
A Brief Critique of Chomsky's Challenge to Classical Phonemic Phonology.
19941
5 20061

About Ngar-Fun Liu

Ngar-Fun Liu is a scholar working on Language and Linguistics, Linguistics and Language, Education, Literature and Literary Theory and Artificial Intelligence, having authored 5 papers that have together received 975 indexed citations. Recurring topics across this work include Multilingual Education and Policy (2 papers), EFL/ESL Teaching and Learning (2 papers), Student Assessment and Feedback (2 papers), Second Language Learning and Teaching (1 paper), Linguistic Studies and Language Acquisition (1 paper), Language, Discourse, Communication Strategies (1 paper), Educational and Psychological Assessments (1 paper) and Innovative Teaching Methods (1 paper). The work is most often cited by research in Education (706 citations), Language and Linguistics (207 citations), Developmental and Educational Psychology (206 citations), Literature and Literary Theory (159 citations) and Computer Science Applications (68 citations). Ngar-Fun Liu has collaborated with scholars based in Hong Kong. Frequent co-authors include David Carless and William Littlewood. Their work appears in journals such as RELC Journal, System, Teaching in Higher Education and Hong Kong University Press eBooks.

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.

Explore authors with similar magnitude of impact