Sheng-Yi Wu

763 citations
30 papers · 525 · h-index 11

Impact in

Papers in

Sheng-Yi Wu

29 papers receiving 499 citations

Peers

Sheng-Yi Wu
Comparison fields: 5 of 65
  • Computer Science Applications 200
  • Developmental and Educational Psychology 265
  • Communication 82
  • Education 272
  • Health Informatics 7
Replace Kati Mäkitalo with:
Kati Mäkitalo Finland
Evren Eryilmaz United States
Lenka Schnaubert Germany
Mai Neo Malaysia
Jun Oshima Japan
Erkan Er Spain
Kasiyah Junus Indonesia
Qiang Hao United States
Jessica Andrews‐Todd United States
Chunping Zheng China
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Citations per field
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Citations per year

Countries citing papers authored by Sheng-Yi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sheng-Yi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Sheng-Yi Wu, 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 Sheng-Yi Wu Line = papers co-authored together Sheng-Yi Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011167
2 202162
3 202144
4 201937
5 201633
6
The Influences of Social Self-Efficacy on Social Trust and Social Capital--A Case Study of Facebook
201230
7 201529
8 202226
9 202017
10 201311
11 201511
12 20149
13 20198
14 20107
15 20186
16 19985
17 20224
18
Transient solutions of axisymmetric dynamic problem for inhomogeneous two-phase media
19963
19 20113
20
Behavior and Cognition Processing of Educational Tabletop Coding Games
20212

About Sheng-Yi Wu

Sheng-Yi Wu is a scholar working on Developmental and Educational Psychology, Education, Computer Science Applications, Information Systems and Communication, having authored 30 papers that have together received 525 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (15 papers), Online and Blended Learning (14 papers), Teaching and Learning Programming (5 papers), Online Learning and Analytics (5 papers), Knowledge Management and Sharing (4 papers), Educational Games and Gamification (3 papers), Impact of Technology on Adolescents (3 papers) and Mobile Learning in Education (3 papers). The work is most often cited by research in Computer Science Applications (200 citations), Developmental and Educational Psychology (265 citations), Communication (82 citations), Education (272 citations) and Health Informatics (7 citations). Sheng-Yi Wu has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Huei‐Tse Hou, Yu-Sheng Su, Shu‐Ming Wang, Wu‐Yuin Hwang, Eric Zhi Feng Liu, Yusheng Su, Shu-Chen Cheng, Chia‐Yu Chen, Dunwei Wen and Sherry Y. Chen. Their work appears in journals such as Journal of Educational Computing Research, Interactive Learning Environments, The Asia-Pacific Education Researcher, Educational Technology Research and Development and Research in Science & Technological 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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