Ying‐Lien Lin

30 papers receiving 533 citations

Peers

Ying‐Lien Lin
Comparison fields: 5 of 79
  • Management Science and Operations Research 98
  • Applied Psychology 26
  • Communication 38
  • Management Information Systems 46
  • Experimental and Cognitive Psychology 46
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Marian Iszatt‐White United Kingdom
David Aguado Spain
Willy Christian Kriz Austria
Roger Schwarz United States
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Citations per year

Countries citing papers authored by Ying‐Lien Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Lien Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Ying‐Lien 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 Ying‐Lien Lin Line = papers co-authored together Ying‐Lien Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201986
2 202079
3 201579
4 201848
5 202239
6 202123
7 202221
8 202220
9 202018
10 202218
11 202113
12 202113
13 202411
14 202010
15 20239
16 20258
17
The Relationships among Students’ Personal Innovativeness, Compatibility, and Learning Performance: A Social Cognitive Theory Perspective
20217
18 20247
19 20216
20 20236

About Ying‐Lien Lin

Ying‐Lien Lin is a scholar working on Developmental and Educational Psychology, Communication, Education, Social Psychology and Human-Computer Interaction, having authored 32 papers that have together received 557 indexed citations. Recurring topics across this work include Educational Games and Gamification (7 papers), Innovative Teaching and Learning Methods (6 papers), Knowledge Management and Sharing (3 papers), Psychological Well-being and Life Satisfaction (3 papers), Virtual Reality Applications and Impacts (3 papers), Impact of Technology on Adolescents (3 papers), Education and Learning Interventions (3 papers) and Wikis in Education and Collaboration (3 papers). The work is most often cited by research in Management Science and Operations Research (98 citations), Applied Psychology (26 citations), Communication (38 citations), Management Information Systems (46 citations) and Experimental and Cognitive Psychology (46 citations). Ying‐Lien Lin has collaborated with scholars based in Taiwan. Frequent co-authors include Shang‐Yu Yang, Hong Long Chen, Wei‐Tsong Wang, Pei‐Lun Hsieh, Wei Tong Chen, Pin‐Hsuan Lin, Jiun‐Yi Wang, Hsiao‐Ching Chen, Ya‐Chen Lee and Kaili Chen. Their work appears in journals such as Education and Information Technologies, International Journal of Environmental Research and Public Health, Journal of Computer Assisted Learning, Industrial Health and The International Journal of Management 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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