Sheng-Chin Yu

788 total citations · 1 hit paper
5 papers, 499 citations indexed

About

Sheng-Chin Yu is a scholar working on Information Systems and Management, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Sheng-Chin Yu has authored 5 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Information Systems and Management, 2 papers in Computer Science Applications and 2 papers in Developmental and Educational Psychology. Recurrent topics in Sheng-Chin Yu's work include Technology Adoption and User Behaviour (2 papers), Online Learning and Analytics (2 papers) and Educational Games and Gamification (2 papers). Sheng-Chin Yu is often cited by papers focused on Technology Adoption and User Behaviour (2 papers), Online Learning and Analytics (2 papers) and Educational Games and Gamification (2 papers). Sheng-Chin Yu collaborates with scholars based in Taiwan and United States. Sheng-Chin Yu's co-authors include Fong-Ling Fu and has published in prestigious journals such as Computers & Education.

In The Last Decade

Sheng-Chin Yu

4 papers receiving 456 citations

Hit Papers

EGameFlow: A scale to measure learners’ enjoyment of e-le... 2008 2026 2014 2020 2008 100 200 300 400

Peers

Sheng-Chin Yu
Comparison fields: 5 of 71
  • Developmental and Educational Psychology 348
  • Sociology and Political Science 157
  • Computer Science Applications 110
  • Human-Computer Interaction 94
  • Education 88
Replace Fong-Ling Fu with:
Fong-Ling Fu Taiwan
Jeanine Krath Germany
Ana Carolina Tomé Klock Brazil
Rob van Roy Belgium
Rudy McDaniel United States
Elena Patricia Núñez Castellar Belgium
Élise Lavoué France
Linda Schürmann Germany
Mouna Denden China
Anissa All Belgium
Fong-Ling Fu Taiwan View profile →
Citations per field, relative to Sheng-Chin Yu
Sheng-Chin Yu · 1×
Citations per year, relative to Sheng-Chin Yu
Sheng-Chin Yu · 1×

Countries citing papers authored by Sheng-Chin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Sheng-Chin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng-Chin Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng-Chin Yu. A scholar is included among the top collaborators of Sheng-Chin Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sheng-Chin Yu. Sheng-Chin Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
# Work Indexed citations
1 1
2 1
3 1
4
EGameFlow: A scale to measure learners’ enjoyment of e-learning games breakdown →
488
5 8

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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