Chin‐Yu Wang

424 citations
13 papers · 363 · h-index 8

Impact in

Papers in

Chin‐Yu Wang

11 papers receiving 341 citations

Peers

Chin‐Yu Wang
Comparison fields: 5 of 74
  • Computer Science Applications 165
  • Developmental and Educational Psychology 139
  • Education 121
  • Communication 29
  • Software 13
Replace Paul Sharples with:
Paul Sharples United Kingdom
David Davenport Türkiye
Jessica Dehler Zufferey Switzerland
Inés Ruíz Requies Spain
Karin Lundgren-Cayrol Canada
John Barr United States
Zhong Sun China
Timothy Read Spain
Mara Saeli Netherlands
James B. Fenwick United States
Chin‐Yu Wang relative to Paul Sharples United Kingdom Paul Sharples's profile →
Citations per field
00.5×
Paul Sharples · 1×
Citations per year

Countries citing papers authored by Chin‐Yu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Yu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Chin‐Yu Wang, 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 Chin‐Yu Wang Line = papers co-authored together Chin‐Yu Wang links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2005115
2 200871
3 201170
4 200429
5 199423
6 200320
7 200616
8 20128
9 20167
10 20172
11
A Study of Multimedia Annotation of Web-Based Materials
20051
12 20101
13 20170

About Chin‐Yu Wang

Chin‐Yu Wang is a scholar working on Developmental and Educational Psychology, Information Systems, Mechanics of Materials, Education and Computer Science Applications, having authored 13 papers that have together received 363 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (4 papers), Online and Blended Learning (3 papers), Teaching and Learning Programming (2 papers), Housing, Finance, and Neoliberalism (1 paper), Metallurgy and Material Forming (1 paper), Microwave Engineering and Waveguides (1 paper), Financial Literacy, Pension, Retirement Analysis (1 paper) and Fluid Dynamics Simulations and Interactions (1 paper). The work is most often cited by research in Computer Science Applications (165 citations), Developmental and Educational Psychology (139 citations), Education (121 citations), Communication (29 citations) and Software (13 citations). Chin‐Yu Wang has collaborated with scholars based in Taiwan and United Kingdom. Frequent co-authors include Wu‐Yuin Hwang, Mike Sharples, Rustam Shadiev, Zhihua Huang, Yueh‐Min Huang, Susan S. Huang, Gwo‐Jen Hwang, You‐Zung Hsieh, Chien‐Chiang Lee and Jhih‐Hong Zeng. Their work appears in journals such as Computers & Education, Journal of Separation Science, Interacting with Computers, Empirical Economics and Microelectronic Engineering.

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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