Yuwei Wan

501 citations
10 papers · 280 · 1 hit paper · h-index 7

Impact in

Papers in

Yuwei Wan

9 papers receiving 261 citations

Yuwei Wan's Hit Papers

Developing language teachers’ professional generative AI competence: An intervention study in an initial language teacher education course 2024 · 45 citations
450+1Years since publication10203040

Peers

Yuwei Wan
Comparison fields: 5 of 48
  • Health Informatics 82
  • Computer Science Applications 99
  • Safety Research 32
  • Developmental and Educational Psychology 35
  • Artificial Intelligence 78
Replace Marie Alina Yeo with:
Marie Alina Yeo Singapore
Lilach Mollick United States
Amy Wanyu Ou Hong Kong
Abdullahi Yusuf Nigeria
Niklas Humble Sweden
Katherine K. W. Lee Hong Kong
Nasrin Pervin Bangladesh
Emily Oxley United Kingdom
Maya Grigolia Kuwait
Moriah Ariely Israel
Yuwei Wan relative to Marie Alina Yeo Singapore Marie Alina Yeo's profile →
Citations per field
00.5×1.5×
Marie Alina Yeo · 1×
Citations per year

Countries citing papers authored by Yuwei Wan

Since Specialization
Citations

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

Fields of papers citing papers by Yuwei Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Yuwei Wan, 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 Yuwei Wan Line = papers co-authored together Yuwei Wan links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2023168
2
Developing language teachers’ professional generative AI competence: An intervention study in an initial language teacher education course
Hit paper breakdown →
202445
3 202429
4 20258
5 20238
6 20247
7 20236
8 20255
9 20254
10 20250

About Yuwei Wan

Yuwei Wan is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Information Systems, Literature and Literary Theory and Artificial Intelligence, having authored 10 papers that have together received 280 indexed citations. Recurring topics across this work include Online Learning and Analytics (4 papers), Second Language Acquisition and Learning (2 papers), Technology-Enhanced Education Studies (2 papers), Second Language Learning and Teaching (2 papers), Digital literacy in education (2 papers), Speech and dialogue systems (1 paper), Natural Language Processing Techniques (1 paper) and AI in Service Interactions (1 paper). The work is most often cited by research in Health Informatics (82 citations), Computer Science Applications (99 citations), Safety Research (32 citations), Developmental and Educational Psychology (35 citations) and Artificial Intelligence (78 citations). Yuwei Wan has collaborated with scholars based in Hong Kong. Frequent co-authors include Benjamin Luke Moorhouse, Marie Alina Yeo, Lucas Kohnke, Theresa Kwong and Angel M. Y. Lin. Their work appears in journals such as RELC Journal, System, ELT Journal, Sustainability and Innovation in Language Learning and Teaching.

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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