Chin‐Yu Wang
Impact in
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- Online Learning and Analytics
- Teaching and Learning Programming
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- Innovative Teaching and Learning Methods
- Educational Games and Gamification
Papers in
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- Teaching and Learning Programming 2
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- Innovative Teaching and Learning Methods 4
- Co-authors
- Wu‐Yuin HwangMike SharplesRustam ShadievZhihua HuangGwo‐Jen HwangSusan S. HuangYueh‐Min HuangYou‐Zung Hsieh
- Journals
- Computers & Education (2 papers)Interacting with Computers (1 paper)Microelectronic Engineering (1 paper)Empirical Economics (1 paper)Journal of Separation Science (1 paper)
- Partner nations
- TaiwanUnited Kingdom
In The Last Decade
Chin‐Yu Wang
11 papers receiving 311 citations
Peers
Comparison fields: 5 of 74
- Computer Science Applications 152
- Developmental and Educational Psychology 126
- Education 111
- Communication 24
- Software 13
Countries citing papers authored by Chin‐Yu Wang
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 1 | |
| 2 | 2017 | 0 | |
| 3 | 2016 | 7 | |
| 4 | 2012 | 8 | |
| 5 | 2011 | 65 | |
| 6 | 2010 | 1 | |
| 7 | 2008 | 67 | |
| 8 | 2006 | 16 | |
| 9 | A Study of Multimedia Annotation of Web-Based Materials | 2005 | 1 |
| 10 | 2005 | 100 | |
| 11 | 2004 | 24 | |
| 12 | 2003 | 20 | |
| 13 | 1994 | 22 |
About Chin‐Yu Wang
Chin‐Yu Wang is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Information Systems, Mechanics of Materials and Media Technology, having authored 13 papers that have together received 332 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), Visual and Cognitive Learning Processes (1 paper), Indoor and Outdoor Localization Technologies (1 paper), Radio Frequency Integrated Circuit Design (1 paper), Analytical Chemistry and Chromatography (1 paper) and Mobile Learning in Education (1 paper). The work is most often cited by research in Computer Science Applications (152 citations), Developmental and Educational Psychology (126 citations), Education (111 citations), Communication (24 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, Gwo‐Jen Hwang, Susan S. Huang, Yueh‐Min Huang, You‐Zung Hsieh, Chien‐Chiang Lee and Jhih‐Hong Zeng. Their work appears in journals such as Computers & Education, Interacting with Computers, Microelectronic Engineering, Empirical Economics and Journal of Separation Science.
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.