Junnan Yu

30 papers receiving 379 citations

Junnan Yu's Hit Papers

Participatory Design in Human-Computer Interaction: Cases, Characteristics, and Lessons 2025 · 24 citations
240Years since publication5101520

Peers

Junnan Yu
Comparison fields: 5 of 70
  • Computer Science Applications 141
  • Human-Computer Interaction 89
  • Developmental and Educational Psychology 57
  • Education 123
  • Architecture 4
Replace Edith Ackermann with:
Edith Ackermann United States
Natalie Freed United States
David Cavallo United States
Ricarose Roque United States
Heidi Schelhowe Germany
Jennifer K. Olsen Switzerland
Yolanda Jacobs Reimer United States
Victoria L. Lowell United States
María Luisa Pertegal-Felices Spain
Jaime Montemayor United States
Junnan Yu relative to Edith Ackermann United States Edith Ackermann's profile →
Citations per field
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Edith Ackermann · 1×
Citations per year

Countries citing papers authored by Junnan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Junnan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201974
2 201847
3 202035
4
Participatory Design in Human-Computer Interaction: Cases, Characteristics, and Lessons
Hit paper breakdown →
202524
5 202422
6 202318
7 202316
8 202115
9 202414
10 202113
11 202411
12 202011
13 202010
14 20249
15 20258
16 20248
17 20247
18 20226
19 20235
20 20254

About Junnan Yu

Junnan Yu is a scholar working on Education, Computer Science Applications, Human-Computer Interaction, Sociology and Political Science and Developmental and Educational Psychology, having authored 36 papers that have together received 383 indexed citations. Recurring topics across this work include Child Development and Digital Technology (15 papers), Teaching and Learning Programming (11 papers), Innovative Human-Technology Interaction (10 papers), Impact of Technology on Adolescents (6 papers), Educational Games and Gamification (3 papers), ICT in Developing Communities (3 papers), Persona Design and Applications (3 papers) and Gender and Technology in Education (2 papers). The work is most often cited by research in Computer Science Applications (141 citations), Human-Computer Interaction (89 citations), Developmental and Educational Psychology (57 citations), Education (123 citations) and Architecture (4 citations). Junnan Yu has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Ricarose Roque, Stephen Voida, Yaoqi Li, Jinxin Li, Zhijie Zhang, Henry Been‐Lirn Duh, Ben Kirshner, Yuhan Luo, Mariana Aki Tamashiro and Janghee Cho. Their work appears in journals such as Clinical Radiology, Proceedings of the ACM on Human-Computer Interaction, Review of Educational Research, Human-Computer Interaction and ACM Transactions on Computing Education.

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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