Qinyun Lin

519 citations
28 papers · 306 · h-index 10

Impact in

Papers in

    • HIV, Drug Use, Sexual Risk 5
    • Science Education and Pedagogy 3
    • Teacher Education and Leadership Studies 2

Qinyun Lin

25 papers receiving 300 citations

Peers

Qinyun Lin
Comparison fields: 5 of 82
  • Modeling and Simulation 26
  • Developmental and Educational Psychology 36
  • Computer Science Applications 14
  • Education 68
  • Communication 16
Replace Natalie Brown with:
Natalie Brown Australia
Bernd Weiß Germany
Christine Mulhern United States
Carole Roberts United Kingdom
Muhammad Saefi Indonesia
Sam Zhang United States
Fahad Alanezi Saudi Arabia
Abdul Malik Indonesia
Phaik Kin Cheah Malaysia
Kyna Shelley United States
Qinyun Lin relative to Natalie Brown Australia Natalie Brown's profile →
Citations per field
00.5×3.4×
Natalie Brown · 1×
Citations per year

Countries citing papers authored by Qinyun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Qinyun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Qinyun Lin, 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 Qinyun Lin Line = papers co-authored together Qinyun Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201860
2 202242
3 202231
4 202128
5 202122
6 202221
7 202216
8 202110
9 202110
10 202110
11 20218
12
Networked By Design: Interventions for Teachers to Develop Social Capital
20188
13 20227
14 20236
15 20235
16 20214
17 20224
18 20233
19 20243
20 20243

About Qinyun Lin

Qinyun Lin is a scholar working on Epidemiology, Education, Statistics and Probability, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 28 papers that have together received 306 indexed citations. Recurring topics across this work include HIV, Drug Use, Sexual Risk (5 papers), Advanced Causal Inference Techniques (4 papers), Opioid Use Disorder Treatment (4 papers), COVID-19 epidemiological studies (3 papers), Science Education and Pedagogy (3 papers), Educational Assessment and Improvement (2 papers), Teacher Education and Leadership Studies (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Modeling and Simulation (26 citations), Developmental and Educational Psychology (36 citations), Computer Science Applications (14 citations), Education (68 citations) and Communication (16 citations). Qinyun Lin has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Marynia Kolak, Ran Xu, Dylan Halpern, Kenneth A. Frank, Charles Anderson, Aresha Martinez-Cardoso, Beth A. Covitt, Spiro Maroulis, K. Hazel Kwon and Sarah Ann Bodbyl-Roels. Their work appears in journals such as JAMA Network Open, Journal of Research in Science Teaching, Social Science & Medicine, Psychological Methods and BMC Medicine.

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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