Shujen L. Chang
- Education top 0.5%
- Information Systems top 1%
- Developmental and Educational Psychology top 2%
- Computer Science Applications top 2%
- Sociology and Political Science top 10%
- Co-authors
- Linda LohrKathryn LeyAlan C. Tsai
- Topics
- Innovative Teaching and Learning Methods (7 papers)Online and Blended Learning (6 papers)Visual and Cognitive Learning Processes (3 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Shujen L. Chang
14 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Education 1.2k
- Information Systems 507
- Developmental and Educational Psychology 404
- Computer Science Applications 211
- Sociology and Political Science 149
Countries citing papers authored by Shujen L. Chang
This map shows the geographic impact of Shujen L. 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 Shujen L. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shujen L. Chang more than expected).
Fields of papers citing papers by Shujen L. Chang
This network shows the impact of papers produced by Shujen L. 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 Shujen L. Chang. The network helps show where Shujen L. Chang may publish in the future.
Co-authorship network of co-authors of Shujen L. Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Shujen L. Chang. A scholar is included among the top collaborators of Shujen L. Chang 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 Shujen L. Chang. Shujen L. Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | A Learning Strategy to Compensate for Cognitive Overload in Online Learning: Learner Use of Printed Online Materials | 31 |
| 7 | The Systematic Design of Instructionbreakdown → | 1423 |
| 8 | The Effects of Facilitation on Cognitive Restructuring in Online Discussion | 3 |
| 9 | 394 | |
| 10 | Online Learning Communities with Online Mentors (OLCOM): A Model of Online Learning Communities | 9 |
| 11 | The Roles of Mentors in Electronic Learning Environments | 14 |
| 12 | Instructional Principles for Online Learning. | 1 |
| 13 | The Use Of Printed Web Based Course Materials: Reducing Cognitive Load In Web Based Learning | 3 |
| 14 | What Types of Online Facilitation Do Students Need | 3 |
About Shujen L. Chang
Shujen L. Chang is a scholar working on Developmental and Educational Psychology, Computer Science Applications and Education, having authored 14 papers that have together received 1.9k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (7 papers), Online and Blended Learning (6 papers) and Visual and Cognitive Learning Processes (3 papers). The work is most often cited by research in Education (1.2k citations), Computer Science Applications (211 citations) and Developmental and Educational Psychology (404 citations). Shujen L. Chang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Linda Lohr, Kathryn Ley and Alan C. Tsai. Their work appears in journals such as Frontiers in Psychology, Preventive Medicine and Educational Technology Research and Development.
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.