Hsing-Fu Cheng

552 citations
8 papers · 358 · 1 hit paper · h-index 7

Impact in

Papers in

Hsing-Fu Cheng

8 papers receiving 316 citations

Hsing-Fu Cheng's Hit Papers

The Use of Motivational Strategies in Language Instruction: The Case of EFL Teaching in Taiwan 2007 · 264 citations
2640+6+12Years since publication50100150200250

Peers

Hsing-Fu Cheng
Comparison fields: 5 of 30
  • Language and Linguistics 230
  • Literature and Literary Theory 124
  • Developmental and Educational Psychology 129
  • Linguistics and Language 28
  • Education 141
Replace Sae Matsuda with:
Sae Matsuda Japan
Phung Dao United Kingdom
Swee Heng Chan Malaysia
Nurdan Gürbüz Türkiye
Y.S. Cheng Taiwan
Joseph Falout Japan
Setsuko Mori Japan
Junko Matsuzaki Carreira Japan
Joel M. Magogwe Botswana
Esmaeel Abdollahzadeh Iran
Hsing-Fu Cheng relative to Sae Matsuda Japan Sae Matsuda's profile →
Citations per field
00.5×3.8×
Sae Matsuda · 1×
Citations per year

Countries citing papers authored by Hsing-Fu Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Hsing-Fu Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Hsing-Fu 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 Hsing-Fu Cheng Line = papers co-authored together Hsing-Fu Cheng links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
The Use of Motivational Strategies in Language Instruction: The Case of EFL Teaching in Taiwan
Hit paper breakdown →
2007264
2 202127
3 201920
4 202219
5 201510
6 20209
7 20196
8 20193

About Hsing-Fu Cheng

Hsing-Fu Cheng is a scholar working on Language and Linguistics, Literature and Literary Theory, Communication, Social Psychology and Sociology and Political Science, having authored 8 papers that have together received 358 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (4 papers), Second Language Learning and Teaching (3 papers), Discourse Analysis in Language Studies (2 papers), Innovative Teaching and Learning Methods (2 papers), Mobile Learning in Education (2 papers), Grit, Self-Efficacy, and Motivation (1 paper), Knowledge Management and Sharing (1 paper) and Language, Discourse, Communication Strategies (1 paper). The work is most often cited by research in Language and Linguistics (230 citations), Literature and Literary Theory (124 citations), Developmental and Educational Psychology (129 citations), Linguistics and Language (28 citations) and Education (141 citations). Hsing-Fu Cheng has collaborated with scholars based in Taiwan, Australia and United Kingdom. Frequent co-authors include Zoltán Dörnyei, Wen‐Ta Tseng, Xuesong Gao, Sufen Chen, Hui‐Wen Vivian Tang and Tsung–Yuan Hsiao. Their work appears in journals such as IRAL - International Review of Applied Linguistics in Language Teaching, Sustainability, The Asia-Pacific Education Researcher, Innovation in Language Learning and Teaching and Journal of Educational Computing Research.

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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