Da Yan

817 citations
12 papers · 488 · 1 hit paper · h-index 7

Impact in

Papers in

    • Student Assessment and Feedback 3
    • Reflective Practices in Education 2
    • Artificial Intelligence in Healthcare and Education 3

Da Yan

10 papers receiving 470 citations

Da Yan's Hit Papers

Impact of ChatGPT on learners in a L2 writing practicum: An exploratory investigation 2023 · 412 citations
4120+1+2Years since publication100200300400

Peers

Da Yan
Comparison fields: 5 of 51
  • Health Informatics 206
  • Computer Science Applications 143
  • Artificial Intelligence 224
  • Developmental and Educational Psychology 59
  • Safety Research 26
Replace Waverly Tseng with:
Waverly Tseng United States
Yanfang Su Hong Kong
Diyenti Rusdin Indonesia
Jamal Kaid Mohammed Ali Saudi Arabia
Darwin Darwin Indonesia
Yun Lin China
Silvia Pokrivčáková Slovakia
Azzeddine Boudouaia China
Emily Oxley United Kingdom
Masaki Eguchi United States
Da Yan relative to Waverly Tseng United States Waverly Tseng's profile →
Citations per field
00.5×4.7×
Waverly Tseng · 1×
Citations per year

Countries citing papers authored by Da Yan

Since Specialization
Citations

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

Fields of papers citing papers by Da Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Da Yan, 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 Da Yan Line = papers co-authored together Da Yan links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Impact of ChatGPT on learners in a L2 writing practicum: An exploratory investigation
Hit paper breakdown →
2023412
2 202419
3 202414
4 202413
5 20238
6 20227
7 20246
8 20226
9 20252
10 20251
11 20250
12 20260

About Da Yan

Da Yan is a scholar working on Education, Health Informatics, Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology, having authored 12 papers that have together received 488 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (3 papers), Student Assessment and Feedback (3 papers), Natural Language Processing Techniques (2 papers), Innovative Teaching and Learning Methods (2 papers), Reflective Practices in Education (2 papers), Online Learning and Analytics (2 papers), Heat Transfer and Optimization (1 paper) and Academic integrity and plagiarism (1 paper). The work is most often cited by research in Health Informatics (206 citations), Computer Science Applications (143 citations), Artificial Intelligence (224 citations), Developmental and Educational Psychology (59 citations) and Safety Research (26 citations). Da Yan has collaborated with scholars based in China, Malaysia and Australia. Frequent co-authors include Shuxian Zhang, Junyue Wang, M. Santamouris, Yu Gao, Zhaoru Liu, Haitao Li, Jinhui Li, Yi Wu and Xuyuan Kang. Their work appears in journals such as PLoS ONE, System, Education and Information Technologies, Kybernetes and Energy and Buildings.

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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