Ngar-Fun Liu

1.4k total citations · 1 hit paper
5 papers, 962 citations indexed

About

Ngar-Fun Liu is a scholar working on Language and Linguistics, Linguistics and Language and Education. According to data from OpenAlex, Ngar-Fun Liu has authored 5 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Language and Linguistics, 2 papers in Linguistics and Language and 2 papers in Education. Recurrent topics in Ngar-Fun Liu's work include Multilingual Education and Policy (2 papers), EFL/ESL Teaching and Learning (2 papers) and Student Assessment and Feedback (2 papers). Ngar-Fun Liu is often cited by papers focused on Multilingual Education and Policy (2 papers), EFL/ESL Teaching and Learning (2 papers) and Student Assessment and Feedback (2 papers). Ngar-Fun Liu collaborates with scholars based in Hong Kong. Ngar-Fun Liu's co-authors include David Carless and William Littlewood and has published in prestigious journals such as System, Teaching in Higher Education and RELC Journal.

In The Last Decade

Ngar-Fun Liu

5 papers receiving 818 citations

Hit Papers

Peer feedback: the learning element of peer assessment 2006 2026 2012 2019 2006 200 400 600

Peers

Ngar-Fun Liu
Toby Fulwiler United States
Norman Evans United States
Anne J. Herrington United States
Paul Gruba Australia
Richard Badger United Kingdom
Anthony R. Petrosky United States
Salah Troudi United Kingdom
Rui Cheng United States
Toby Fulwiler United States
Ngar-Fun Liu
Citations per year, relative to Ngar-Fun Liu Ngar-Fun Liu (= 1×) peers Toby Fulwiler

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-authorship network of co-authors of Ngar-Fun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ngar-Fun Liu. A scholar is included among the top collaborators of Ngar-Fun Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ngar-Fun Liu. Ngar-Fun Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Liu, Ngar-Fun & David Carless. (2006). Peer feedback: the learning element of peer assessment. Teaching in Higher Education. 11(3). 279–290. 703 indexed citations breakdown →
2.
Carless, David, et al.. (2006). How Assessment Supports Learning. Hong Kong University Press eBooks. 1 indexed citations
3.
Liu, Ngar-Fun & William Littlewood. (1997). Why do many students appear reluctant to participate in classroom learning discourse?. System. 25(3). 371–384. 213 indexed citations
4.
Littlewood, William, et al.. (1996). Hong Kong Tertiary Students' Attitudes and Proficiency in Spoken English. RELC Journal. 27(1). 70–88. 44 indexed citations
5.
Liu, Ngar-Fun. (1994). A Brief Critique of Chomsky's Challenge to Classical Phonemic Phonology.. 1 indexed citations

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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