Xun Yan

1.1k citations
48 papers · 578 · h-index 14

Impact in

Papers in

Xun Yan

41 papers receiving 551 citations

Peers

Xun Yan
Comparison fields: 5 of 42
  • Language and Linguistics 278
  • Literature and Literary Theory 214
  • Developmental and Educational Psychology 183
  • Education 285
  • Health Informatics 11
Replace Raffaella Negretti with:
Raffaella Negretti Sweden
Ali Mohammad Fazilatfar Iran
Vahid Nimehchisalem Malaysia
William J. Crawford United States
Joel Bloch United States
Dina Abdel Salam El‐Dakhs Saudi Arabia
Xuyan Qiu Hong Kong
Lisa McGrath Sweden
Gabriela C. Zapata United States
Ye Han China
Xun Yan relative to Raffaella Negretti Sweden Raffaella Negretti's profile →
Citations per field
00.5×1.5×2.0×
Raffaella Negretti · 1×
Citations per year

Countries citing papers authored by Xun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Xun 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 Xun Yan Line = papers co-authored together Xun Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201571
2 201861
3 202147
4 201741
5 202033
6 201431
7 202029
8 202025
9 202223
10 202321
11 202019
12 201917
13 201515
14 201813
15 202011
16 202111
17 202210
18 201810
19 20238
20 20158

About Xun Yan

Xun Yan is a scholar working on Language and Linguistics, Literature and Literary Theory, Education, Developmental and Educational Psychology and Artificial Intelligence, having authored 48 papers that have together received 578 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (24 papers), Second Language Learning and Teaching (16 papers), Student Assessment and Feedback (16 papers), Second Language Acquisition and Learning (11 papers), Discourse Analysis in Language Studies (7 papers), Writing and Handwriting Education (4 papers), Reading and Literacy Development (4 papers) and Text Readability and Simplification (4 papers). The work is most often cited by research in Language and Linguistics (278 citations), Literature and Literary Theory (214 citations), Developmental and Educational Psychology (183 citations), Education (285 citations) and Health Informatics (11 citations). Xun Yan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include April Ginther, Jason Fan, Cong Zhang, Jing Lv, Yukiko Maeda, Junju Wang, Slobodanka Dimova, Tingting Fan, Sara Cushing Weigle and Gary J. Ockey. Their work appears in journals such as Language Testing, Assessing Writing, Journal of Second Language Writing, System and TESOL Quarterly.

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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