Shao‐Chen Chang
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- Online Learning and Analytics 6
- Teaching and Learning Programming 4
- Human-Computer Interaction top 2%
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- Innovative Teaching and Learning Methods 10
- Educational Games and Gamification 9
- Information Systems top 2%
- Mobile Learning in Education 10
- Education top 2%
- Innovative Teaching Methods 7
- Education and Critical Thinking Development 3
- Online and Blended Learning 3
- Co-authors
- Gwo‐Jen HwangDi ZouQifan YangHan‐Yu SungHui‐Chun ChuShengyuan WangMorris Siu–Yung JongTing‐Chia Hsu
- Cited by
- Computer Science ApplicationsHuman-Computer InteractionDevelopmental and Educational Psychology
In The Last Decade
Shao‐Chen Chang
33 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Computer Science Applications 262
- Human-Computer Interaction 208
- Developmental and Educational Psychology 464
- Information Systems 412
- Education 492
Countries citing papers authored by Shao‐Chen Chang
This map shows the geographic impact of Shao‐Chen Chang'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 Shao‐Chen Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shao‐Chen Chang more than expected).
Fields of papers citing papers by Shao‐Chen Chang
This network shows the impact of papers produced by Shao‐Chen Chang. 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 Shao‐Chen Chang. The network helps show where Shao‐Chen Chang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shao‐Chen Chang, 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 | 2025 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 10 | |
| 4 | 2022 | 20 | |
| 5 | 2022 | 24 | |
| 6 | 2022 | 15 | |
| 7 | 2021 | 31 | |
| 8 | 2021 | 21 | |
| 9 | 2021 | 39 | |
| 10 | 2021 | 20 | |
| 11 | 2021 | 41 | |
| 12 | 2021 | 38 | |
| 13 | 2021 | 64 | |
| 14 | 2020 | 28 | |
| 15 | 2020 | 135 | |
| 16 | 2020 | 107 | |
| 17 | 2020 | 39 | |
| 18 | 2019 | 81 | |
| 19 | Impacts of an augmented reality-based flipped learning guiding approach on students’ scientific project performance and perceptionsbreakdown → | 2018 | 298 |
| 20 | 2017 | 29 |
About Shao‐Chen Chang
Shao‐Chen Chang is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Information Systems, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mobile Learning in Education (10 papers), Innovative Teaching and Learning Methods (10 papers), Educational Games and Gamification (9 papers), Innovative Teaching Methods (7 papers), Online Learning and Analytics (6 papers), Teaching and Learning Programming (4 papers), Education and Critical Thinking Development (3 papers) and Online and Blended Learning (3 papers). The work is most often cited by research in Computer Science Applications (262 citations), Human-Computer Interaction (208 citations) and Developmental and Educational Psychology (464 citations). Shao‐Chen Chang has collaborated with scholars based in Taiwan, Thailand and China. Frequent co-authors include Gwo‐Jen Hwang, Di Zou, Qifan Yang, Han‐Yu Sung, Hui‐Chun Chu, Shengyuan Wang, Morris Siu–Yung Jong, Ting‐Chia Hsu, Pei‐Ying Chen and Shun-Yun Hu. Their work appears in journals such as Interactive Learning Environments, British Journal of Educational Technology, Educational Technology Research and Development, Computers & Education and The Electronic Library.
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.