Yu-Sheng Su
- Education top 2%
- Computer Science Applications top 1%
- Information Systems top 5%
- Developmental and Educational Psychology top 5%
- Artificial Intelligence top 10%
- Topics
- Online Learning and Analytics (14 papers)Online and Blended Learning (13 papers)Technology-Enhanced Education Studies (11 papers)
- Journals
- MoleculesComputers & EducationInternational Journal of Environmental Research and Public Health
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Yu-Sheng Su
60 papers receiving 965 citations
Peers
Comparison fields: 5 of 107
- Education 390
- Computer Science Applications 305
- Information Systems 252
- Developmental and Educational Psychology 158
- Artificial Intelligence 136
Countries citing papers authored by Yu-Sheng Su
This map shows the geographic impact of Yu-Sheng Su'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 Yu-Sheng Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Sheng Su more than expected).
Fields of papers citing papers by Yu-Sheng Su
This network shows the impact of papers produced by Yu-Sheng Su. 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 Yu-Sheng Su. The network helps show where Yu-Sheng Su may publish in the future.
Co-authorship network of co-authors of Yu-Sheng Su
This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Sheng Su. A scholar is included among the top collaborators of Yu-Sheng Su 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 Yu-Sheng Su. Yu-Sheng Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 34 | |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 47 | |
| 13 | 45 | |
| 14 | 19 | |
| 15 | 6 | |
| 16 | How Has E-Book Research Evolved? A Bibliometric Comparison of International Journal Publications (2000-2019) | 3 |
| 17 | 14 | |
| 18 | Charismatic Learning: Students’ Satisfaction with E-Learning in Higher Education | 4 |
| 19 | Interactive Teaching Aids Integrating Building Blocks and Programming Logic | 2 |
| 20 | 1 |
About Yu-Sheng Su
Yu-Sheng Su is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Education, having authored 65 papers that have together received 1.0k indexed citations. Recurring topics across this work include Online Learning and Analytics (14 papers), Online and Blended Learning (13 papers) and Technology-Enhanced Education Studies (11 papers). The work is most often cited by research in Computer Science Applications (305 citations), Information Systems and Management (129 citations) and Health Informatics (20 citations). Yu-Sheng Su has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Li Zhao, Chien‐Liang Lin, Xiaohong Liu, Chin‐Feng Lai, Ting Wang, Wei He, Sheng-Yi Wu, Hung‐Wei Cheng, Chenhui Wang and Qun Zhao. Their work appears in journals such as Molecules, Computers & Education and International Journal of Environmental Research and Public Health.
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.