Kuen‐Yi Lin

1.6k citations
55 papers · 1.1k indexed · h-index 19

Kuen‐Yi Lin

53 papers receiving 1.1k citations

Peers

Kuen‐Yi Lin
Comparison fields: 5 of 92
  • Computer Science Applications 224
  • Developmental and Educational Psychology 318
  • Education 598
  • Human-Computer Interaction 67
  • Experimental and Cognitive Psychology 109
Replace Jennifer L. Chiu with:
Jennifer L. Chiu United States
Zehui Zhan China
Antoine van den Beemt Netherlands
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Yu‐Hui Ching United States
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Kuen‐Yi Lin relative to Jennifer L. Chiu United States Jennifer L. Chiu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kuen‐Yi Lin

Since Specialization
Citations

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

Fields of papers citing papers by Kuen‐Yi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20241
4 20231
5 20229
6 2021122
7 202011
8 201951
9 201973
10 20188
11 20179
12 20157
13 2014122
14
How high school students apply knowledge in engineering design projects
20131
15
Examining the Relationship between Teachers' Attitudes and Motivation toward Web-Based Professional Development: A Structural Equation Modeling Approach.
201212
16 20112
17
Skills standards for the cultural and creative industry of bamboo handicraftsmen in Taiwan
20102
18
Teaching mathematics, science and technology concepts through designing hands-on and reflective activity
20101
19
Teaching science through technology: A confluence of knowledge, design and construction
20101
20
A study of a curriculum of pre-engineering technology education in Taiwan
20092

About Kuen‐Yi Lin

Kuen‐Yi Lin is a scholar working on Architecture, Developmental and Educational Psychology and Safety Research, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Design Education and Practice (9 papers), Gender and Technology in Education (9 papers), Innovative Teaching and Learning Methods (8 papers), Career Development and Diversity (6 papers), Creativity in Education and Neuroscience (6 papers), Science Education and Pedagogy (6 papers), Mechatronics Education and Applications (5 papers) and Educational Research and Pedagogy (5 papers). The work is most often cited by research in Computer Science Applications (224 citations), Developmental and Educational Psychology (318 citations) and Education (598 citations). Kuen‐Yi Lin has collaborated with scholars based in Taiwan, Australia and United Kingdom. Frequent co-authors include Paul J. Williams, Hsien-Sheng Hsiao, Kuang Chao Yu, Ying‐Tien Wu, Patricia J. Williams, Chin‐Chung Tsai, Yu‐Shan Chang, Jyun‐Chen Chen, Chia‐Pin Kao and Hsien‐Sheng Hsiao. Their work appears in journals such as Computers & Education, Frontiers in Psychology and British Journal of Educational Technology.

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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